-------- Forwarded Message --------
Subject: [WI] [Deadline Approaching] 2nd FashionXRecsys Workshop -
RecSys Conference - 26th September
Date: Sun, 26 Jul 2020 08:56:36 +0000
From: Shatha Jaradat <shatha(a)kth.se>
Reply-To: Shatha Jaradat <shatha(a)kth.se>
*FashionXRecsys* - Workshop on Recommender Systems in Fashion
*In conjunction with ACM RecSys 2020 (26th September 2020)*
https://fashionxrecsys.github.io/fashionxrecsys-2020/
***Important Note*** Due to concerns about COVID-19, RecSys 2020 will
cancel its physical component and go fully virtual.
We are pleased to invite you to participate in the 2nd workshop on
Recommender Systems in Fashion (FashionXRecsys) that will be held on
September 26th, 2020.
Online Fashion retailers have significantly increased in popularity over
the last decade, making it possible for customers to explore hundreds of
thousands of products without the need to visit multiple stores or stand
in long queues for checkout. However, the customers still face several
hurdles with current online shopping solutions. For example, customers
often feel overwhelmed with the large selection of the assortment and
brands. In addition, there is still a lack of effective suggestions
capable of satisfying customers’ style preferences, or size and fit
needs, necessary to enable them in their decision-making process. In
this context, recommender systems are very well positioned to play a
crucial role in creating a great customer experience in fashion.
Moreover, in recent years social shopping in fashion has surfaced,
thanks to platforms such as Instagram, providing a very interesting
opportunity that allows to explore fashion in radically new ways. Such
recent developments provide exciting challenges for the Recommender
Systems and Machine Learning research communities.
This workshop aims to bring together researchers and practitioners in
the fashion, recommendations and machine learning domains to discuss
open problems in the aforementioned areas. This involves addressing
interdisciplinary problems with all of the challenges it entails. Within
this workshop we aim to start the conversation among professionals in
the fashion and e-commerce industries and recommender systems
scientists, and create a new space for collaboration between these
communities necessary for tackling these deep problems. To provide rich
opportunities to share opinions and experience in such an emerging
field, we will accept paper submissions on established and novel ideas,
as well as new interactive participation formats.
*Suggested topics for submissions are (but not limited to):*
* Computer vision in Fashion (image classification, semantic
segmentation, object detection)
* Deep learning in recommendation systems for Fashion
* Learning and application of fashion style (personalized style,
implicit and explicit preferences, budget, social behaviour, etc)
* Size and Fit recommendations through mining customers implicit and
explicit size and fit preferences
* Modelling articles and brands size and fit similarity
* Usage of ontologies and article metadata in fashion and retail (NLP,
social mining, search)
* Addressing cold-start problem both for items and users in fashion
recommendation
* Knowledge transfer in multi-domain fashion recommendation systems
* Hybrid recommendations on customers’ history and on-line behavior
* Multi- or Cross- domain recommendations (social media and online shops)
* Privacy preserving techniques for customer’s preferences tracing
* Understanding social and psychological factors and impacts of
influence on users’ fashion choices (such as Instagram, influencers, etc.)
In order to encourage the reproducibility of research work presented in
the workshop, we put together a list of open datasets in the
fashionXrecsys website
<https://fashionxrecsys.github.io/fashionxrecsys-2020/#datasets>. All
submissions that present their work using at least one of the listed
datasets will be considered for the best paper, best student paper and
best demo awards, which will be given by workshop sponsors.
*Important Dates *
** Paper Submission deadline:* July 29th, 2020
** Author notification:* August 21st, 2020
** Camera-ready version deadline: *September 4th,2020
All deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth)
time zone.
*Paper Submission Instructions *
* All submissions and reviews will be handled electronically via
EasyChair at the following address:
https://easychair.org/conferences/?conf=fashionxrecsys2020
* Submissions should be prepared according to the ACM RecSys format
<https://recsys.acm.org/recsys20/call/>. Long papers should report on
substantial contributions of lasting value. The maximum length is 14
pages (excluding references) in the new single-column format. For short
papers, the maximum length is 7 pages (excluding references) in the new
single-column format.
* The peer review process is double-blind (i.e. anonymised). All
submissions must not include information identifying the authors or
their organisation. Specifically, do not include the authors’ names and
affiliations, anonymise citations to your previous work and avoid
providing any other information that would allow to identify the
authors, such as acknowledgments and funding. However, it is acceptable
to explicitly refer in the paper to the companies or organizations that
provided datasets, hosted experiments or deployed solutions, if
specifically necessary for understanding the work described in the paper.
* Submitted work should be original. However, technical reports or ArXiv
disclosure prior to or simultaneous with the workshop submission, is
allowed, provided they are not peer-reviewed.
* The organizers also encourage authors to make their code and datasets
publicly available.
* Accepted contributions are given either an oral or poster presentation
slot at the workshop. At least one author of every accepted contribution
must attend the workshop and present their work. Please contact the
workshop organization if none of the authors will be able to attend.
* All accepted papers will be available through the program website
<https://fashionxrecsys.github.io/fashionxrecsys-2020/>, and will be
published in a special Springer Journal issue.
*Additional Submission Instructions for Demos *
The description of the demo should be prepared according to the standard
double-column ACM SIG proceedings format
<http://www.acm.org/publications/proceedings-template> with a one page
limit. The submission should include:
* An overview of the algorithm or system that is the core of the demo,
including citations to any publications that support the work.
* A discussion of the purpose and the novelty of the demo.
* A description of the required setup. If the system will feature an
installable component (e.g., mobile app) or website for users to use
throughout or after the conference, please mention this.
* A link to a narrated screen capture of your system in action, ideally
a video. (This section will be removed for the camera-ready version of
accepted contributions.)
Kindest Regards,
FashionXRecsys Organizers
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-------- Forwarded Message --------
Subject: [WI] Internationale Tagung Wirtschaftsinformatik 2021 in Essen
– Extended Deadline
Date: Sat, 25 Jul 2020 13:00:47 +0200
From: Stefan Stieglitz <stefan.stieglitz(a)uni-due.de>
Reply-To: Stefan Stieglitz <stefan.stieglitz(a)uni-due.de>
To: wi(a)aifb.uni-karlsruhe.de
Sehr geehrte Kolleginnen und Kollegen,
aus der WI Community haben uns mehrere Anfragen zur Verlängerung der
Frist für die Einreichung von Papern in den zentralen Tracks der WI2021
erreicht. Aus diesem Grund haben wir uns dazu entschieden, die
Einreichungsfrist um 14 Tage zu verlängern. Die neue Submission Deadline
ist nun am *28. August 2020*.
Eine Übersicht über die 21 zentralen Tracks finden Sie auf der WI2021
Website unter: https://wi2021.de/zentrale-tracks/
Bei der Erstellung von Beiträgen, beachten Sie bitte die Hinweise für
Autoren: https://wi2021.de/informationen-fuer-autoren/
Wenn Sie weitere Fragen zur Einreichung von Beiträgen haben, wenden Sie
sich bitte an das WI2021-Team unter der folgenden E-Mail-Adresse:
service-wi2021(a)icb.uni-due.de <mailto:service-wi2021@icb.uni-due.de>.
Wir freuen uns auf Ihre Beiträge und verbleiben mit den besten Grüßen
Frederik Ahlemann, Reinhard Schütte, Stefan Stieglitz
--
*Prof. Dr. Stefan Stieglitz*
Head Research Group Professional Communication in Electronic Media /
Social Media <https://www.uni-due.de/proco/index_en.php>
Honorary Professor The University of Sydney Business School
<https://sydney.edu.au/business/>
Director Competence Center Connected Organization
<https://connected-organization.de/>
University of Duisburg-Essen, Department of /Computer Science and
Applied Cognitive Science/
Research Group /Professional Communication in Electronic Media / Social
Media/ (PROCO <https://www.uni-due.de/proco/index_en.php>) - Prof. Dr.
Stefan Stieglitz
P: +49 203 379 2320
A: Forsthausweg 2 (LE 310), 47057 Duisburg, Germany
Web: uni-due.de/proco <https://www.uni-due.de/proco/> | FB: @rgstieglitz
<https://www.facebook.com/rgstieglitz/> | TW: @rgstieglitz
<https://twitter.com/rgstieglitz> | IN: @rgstieglitz
<https://www.instagram.com/rgstieglitz/>
*New project:* RISE_SMA EU Horizon2020 "Social Media Analytics for
Society and Crisis Communication <https://social-media-analytics.org/>,
Twitter: @RISE_SMA <https://twitter.com/rise_sma>
--
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-------- Forwarded Message --------
Subject: [WI] CFP ACIS Track 9: USABILITY, USABILITY THINKING, AND
HUMAN CENTRED DESIGN
Date: Sat, 25 Jul 2020 21:55:29 +1000
From: Christopher Lueg <cplueg(a)gmail.com>
Reply-To: Christopher Lueg <cplueg(a)gmail.com>
To: wi(a)lists.kit.edu
CALL FOR PAPERS ACIS Track 9: USABILITY, USABILITY THINKING, AND HUMAN
CENTRED DESIGN
TRACK CO-CHAIRS
Christopher LUEG, BFH Institute for Medical Informatics (I4MI),
Switzerland, christopher.lueg(a)bfh.ch
Deborah BUNKER, The University of Sydney Business School,
deborah.bunker(a)sydney.edu.au
Anushia INTHIRAN, University of Canterbury,
anushia.inthiran(a)canterbury.ac.nz
ACIS 2020 is going virtual. We are committing ourselves to provide an
interactive online experience for attendees. We cordially invite you
to submit a paper to our track.
Paper submissions close on 10 August 2020. If your paper is accepted,
your work will be published in the conference proceedings, and you are
welcome to present it virtually.
Please see the following links for:
Further conference format details https://www.acis2020.org/covid19-update
Paper submission guidelines:
https://www.acis2020.org/submission-templates-and-guidelines
We are interested in receiving your research, research-in-progress and
short papers by 10 August 2020.
TRACK DESCRIPTION
(Good) Usability has long been established as a key criteria in human
centered approaches to IT systems design. Usability is typically
investigated during the design and/or evaluation phases of new IT
systems that are either built in-house or sourced from third parties.
Usability thinking is more broadly applicable to almost any aspect of
contemporary organisations since, in the words of usability guru
Nielsen, usability isn't about technology but about human behavior
which changes very slowly, if at all.
This track seeks contributions that explore usability, usability
thinking, and human centered design in the context of contemporary
organisations. The emphasis is on IS perspectives and experiences in
the sense that technologies are looked at as situated in an
organisational context (understood very broadly and inclusively).
TOPICS OF INTEREST (INCLUDE BUT ARE NOT LIMITED TO)
Human centered design in organisational contexts (eg, health portals,
aged care support, security/privacy, emotion recognition,
personalisation)
Benefits and barriers to embracing usability thinking in organisations
Usability thinking and systems adoption/diffusion frameworks
Usability as a socio-technical concept/construct (including HCI)
Usability and IS project risk management
Designing for minorities and under-represented groups
Universal accessibility
--
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-------- Forwarded Message --------
Subject: [AISWorld] Journal of Global Information Technology Management
(JGITM), Volume 23, Issue 3, July, 2020 & Impact Factor
Date: Thu, 23 Jul 2020 11:07:22 -0400
From: Prashant Palvia <pcpalvia(a)uncg.edu>
To: AISWorld <aisworld(a)lists.aisnet.org>
Dear friends:
Let me start with some good news. The 2019 JGITM impact factor went up
substantially and is at 1.571 (the 2018 impact factor was 0.923). The five
year impact factor went up too and is at 1.609. I believe we have the
highest impact factor among all global/international IS journals. I want to
thank our editorial team and the authors for our success.
While our acceptance rate is below 10%, it is much higher for high quality
papers and such submissions are always welcome. At a minimum each submitted
article should have the following three components: an IS topic,
international orientation (e.g., cross cultural studies or strong
international implications), and strong evidence (e.g., survey data, case
studies, experiments, secondary data, etc.). All research methodologies are
accepted.
Please submit your manuscript to the submission site:
http://www.editorialmanager.com/ugit
JGITM is published by Taylor & Francis Group (T&F). We have a modern
submission and review system, web site, as well as full marketing support.
Each suitable article is blind-reviewed by three members of the editorial
review board. It then goes to an Associate Editor for a recommendation. The
final decision is made by the Editor-in-Chief. If a revision is
recommended, the revised paper is sent for final approval to one of the
Editors.
********************************************
For copies of the journal and its articles, please check in your
institution's library.
********************************************
Best regards,
*Prashant Palvia, Ph.D., Joe Rosenthal Excellence Professor,
https://baelearn.uncg.edu/people/palvia/
<https://baelearn.uncg.edu/people/palvia/>index.html*
*Editor in Chief, JGITM, http://www.tandfonline.com/UGIT
<http://www.tandfonline.com/UGIT>*
[image: Taylor & Francis Online - The new journals and reference work
platform for Taylor & Francis]
<http://url310.tandfonline.com/ls/click?upn=odl8Fji2pFaByYDqV3bjGMQo8st9of22…>
The online platform for Taylor & Francis Online content
Journal of Global Information Technology Management, Volume 23, Issue 3,
July 2, 2020
<http://url310.tandfonline.com/ls/click?upn=odl8Fji2pFaByYDqV3bjGMQo8st9of22…>
is now available online on Taylor & Francis Online
<http://url310.tandfonline.com/ls/click?upn=odl8Fji2pFaByYDqV3bjGMQo8st9of22…>
.
This new issue contains the following articles:
<http://url310.tandfonline.com/ls/click?upn=1FNPccKCeKUi46CJquHJP8wvC5oMClBD…>
Editorial
Understanding the Role of Cultural Context and User Interaction in
Artificial Intelligence Based Systems
<http://url310.tandfonline.com/ls/click?upn=odl8Fji2pFaByYDqV3bjGMQo8st9of22…>
Kyootai Lee & Kailash Joshi
Pages: 171-175 | DOI: 10.1080/1097198X.2020.1794131
Research Article
The Impact of Enterprise IT Investment on Corporate Performance: Evidence
from China
<http://url310.tandfonline.com/ls/click?upn=odl8Fji2pFaByYDqV3bjGMQo8st9of22…>
Peinan Ji , Xiangbin Yan & Guang Yu
Pages: 176-190 | DOI: 10.1080/1097198X.2020.1792230
The Determinant Factors of Business to Business (B2B) E-Commerce Adoption
in Small- and Medium-Sized Manufacturing Enterprises
<http://url310.tandfonline.com/ls/click?upn=odl8Fji2pFaByYDqV3bjGMQo8st9of22…>
Chosniel Elikem Ocloo , Hu Xuhua , Selorm Akaba , Junguo Shi & David Kwaku
Worwui-Brown
Pages: 191-216 | DOI: 10.1080/1097198X.2020.1792229
Speed of Catch-up and Digital Divide: Convergence Analysis of Mobile
Cellular, Internet, and Fixed Broadband for 44 African Countries
<http://url310.tandfonline.com/ls/click?upn=odl8Fji2pFaByYDqV3bjGMQo8st9of22…>
Yu Sang Chang , Seongmin Jeon & Kudzai Shamba
Pages: 217-234 | DOI: 10.1080/1097198X.2020.1792231
Interview
An Interview with Gustavo Ricardo Parés Arce
<http://url310.tandfonline.com/ls/click?upn=odl8Fji2pFaByYDqV3bjGMQo8st9of22…>
Prashant Palvia
Pages: 235-238 | DOI: 10.1080/1097198X.2020.1794136
Book review
Aligning IT and Business: Fostering Organizational Performance, Employees’
Commitment and Quality of Management Methods
<http://url310.tandfonline.com/ls/click?upn=odl8Fji2pFaByYDqV3bjGMQo8st9of22…>
Tworek, Katarzyna, 2019, Cham, Switzerland, Springer Nature Switzerland AG,
221 pp., $119.99 (hardcover), ISBN 978-3-030-11562-3
Robert Vinaja
Pages: 239-240 | DOI: 10.1080/1097198X.2020.1794134
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] CfP - EDOC 2020 Doctoral Consortium (deadline Aug.
7th, 2020)
Date: Fri, 24 Jul 2020 17:08:28 +0200
From: Saïd Assar <said.assar(a)imt-bs.eu>
To: aisworld(a)lists.aisnet.org
24th IEEE EDOC 2020 – The Enterprise Computing Conference
http://www.edoc2020.org/
DOCTORAL CONSORTIUM
The IEEE EDOC 2020 The Doctoral Consortium (DC) is a forum of exchange
organized to encourage PhD students to present their early work and to
exchange with other researchers in their fields. Senior researchers will
provide feedback and advice on the work and advice on managing research
projects. The Doctoral Consortium is also a place to establish a social
network with peers in the field of the conference.
The technical scope of the Doctoral Consortium is that of EDOC 2020, as
described by the list of the topics in the EDOC 2020 call for papers. We
encourage submissions from PhD students at an early stage of their
research project, i.e., typically in their first or second year. A
submission to the DC should clearly describe motivation, goal, expected
results, and the research approach taken. Participants will be expected
to actively discuss and argue about their work by reading each other’s
work prior to the DC, giving a presentation at the Doctoral Consortium,
debating together, and listening to senior researchers’ feedback.
DC SUBMISSIONS
To participate at the Doctoral Consortium, students should prepare a
submission package consisting of two parts, (i) a paper and (ii) a
letter of recommendation:
(i) The paper (typically 3 to 6 pages) should cover the following aspects:
- The context and goal of the research;
- The scientific problem addressed in the PhD project and its relevance
to the conference field. Any observation or case study that justifies or
substantiates the problem should be given. The problem can be further
specified with research questions and hypotheses;
- Earlier works that have addressed a similar problem. Explanations why
the problem is not solved (i.e. open issues and controversies) should be
underlined;
- The scientific method proposed to address the problem at hand ;
- The expected results, and any result that has already been obtained so
far;
- A plan for the evaluation of results.
All submissions must be made in PDF format and comply with the IEEE
Computer Society Conference Proceedings Format Guidelines.
Doctoral Papers should be submitted electronically in PDF format via the
EDOC Conference Management system hosted on EasyChair to track EDOC 2020
Doctoral Consortium.
(ii) The recommendation letter should:
- be submitted directly to the DC chairs
- include the title of the paper, the name of the candidate, the status
of the dissertation research, and an expected date for the PhD defense.
SELECTION PROCESS
Desk rejects of papers that:
- do not comply with the formatting guidelines,
- are out of scope of the conference themes,
- have been (or are) submitted or published elsewhere,
- include plagiarism.
The Doctoral Consortium Committee will review submissions using the
following criteria:
- Technical quality, clarity, soundness, precision, and adequacy of the
problem statement, related work, self-contained and feasible method
description, realistic expected results, and sensible evaluation plan.
- Overall quality.
PROCEEDINGS
Accepted doctoral papers will be published in the workshop proceedings
of the IEEE EDOC conference (EDOCW), which will be submitted to the IEEE
Xplore® digital library.
The PhD student, author of the accepted DC paper, must register for the
conference and be in attendance to present the paper during the Doctoral
Consortium.
IMPORTANT DATES
- Doctoral papers submissions: 26 July 2020 7 August 2020
- Doctoral papers acceptance notification: 30 August 2020 7 September 2020
- Doctoral papers camera-ready papers due: 13 September 2020
- Author registration: 13 September 2020
- Doctoral Consortium sessions: 5 October 2020
DC ADVISORY COMMITTEE
- Colin Atkinson, University of Mannheim, Germany
- Georg Grossmann, University of South Australia, Australia
- Marten van Sinderen, University of Twente, The Netherlands
DC CHAIRS
- Said Assar, Institut Mines Telecom Business School, France
- Bernd Neumayr, Johannes Kepler University Linz, Austria
DC PROGRAM COMMITTEE [confirmed members]
- Colin Atkinson, University of Mannheim, Germany
- Lamiae Benhayoun, IMT-BS, France
- Markus Borg, RISE, Sweden
- Dominik Bork, TU Wien, Austria
- Georg Grossmann, University of South Australia, Australia
- Manuele Kirsch-Pinheiro, Université Paris 1 Panthéon Sorbonne, France
- Manfred Jeusfeld, University of Skövde, Sweden
- Andreas L. Opdahl, University of Bergen, Norway
- Camille Salinesi, Université Paris 1 Panthéon Sorbonne, France
- Dalila Tamzalit, University of Nantes, France
- Thierno Tounkara, IMT-BS, France
-----------------------------------------------------------------------------------
Saïd Assar*, *Professor
Institut Mines-Telecom Business School
--
Homepage : http://www-public.imtbs-tsp.eu/~assar/ <http://www-public.imtbs-tsp.eu/%7Eassar/>
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] CFP: 18th International Conference on Advances in
Mobile Computing and Multimedia (MoMM2020) - Chiang Mai, Thailand
Date: Sat, 25 Jul 2020 08:59:42 +0200
From: Ismail Khalil <ismail.khalil(a)jku.at>
To: ISWorld <aisworld(a)lists.aisnet.org>
***************************************************************************
We apologize if you receive multiple copies of this CFP
***************************************************************************
C A L L F O R P A P E R S
The 18th International Conference on Advances in Mobile Computing and
Multimedia (MoMM2020) 30 November - 2 December 2020
Chiang Mai, Thailand
http://www.iiwas.org/conferences/momm2020/ email: momm2020(a)iiwas.org
Paper submission: https://easychair.org/conferences/?conf=momm2020.
***** Designing and Developing Innovative Mobile and Ubiquitous
Solutions for Social Good *****
**** IMPORTANT DATES ***** 1 August 2020 : Full Papers (10 pages), Short
papers, demos and work in progress (5 pages) 25 September 2020:
Acceptance Notification
20 October 2020: Camera-Ready Papers and Authors Registration
30 Nov - 2 Dec 2020: Conference Dates
***** Publication *****
ALL accepted MoMM2020 papers will be published by ACM International
Conference Proceedings Series (ISBN: pending) and the supplemental
proceedings which will be archived in the ACM Digital Library, and
indexed by DBLP, Ei Compendex, Scopus and submitted to be reviewed by
Thomson Reuters Conference Proceedings Citation Index (ISI Web of
Science). Selected high-quality papers will be invited to be published,
after revision and extension, in special issues of international journals.
**** Scope *****
During the last decade, mobile computing and multimedia have gone
through massive advancements in terms of both hardware innovations and
software solutions. The emerging and exponential technologies have
accelerated research across a wide array of topics such as smart cities,
digital twins, nanotechnology, augmented and virtual reality, artificial
intelligence, chatbots and conversational interfaces, edge computing and
server-less cloud computing. While the new technologies and developments
have the potential to affect our lives and create positive social
impact, they introduce huge challenges in terms of the design,
underlying algorithms, implementation and technology adoption. MoMM
provides an opportunity for researchers to present, share and discuss
their research results and experiences with other researchers and
experts in the same or similar fields.
Recently, MoMM has been held in Munich (2019), Yogyakarta (2018),
Salzburg (2017), Singapore (2016), Brussels (2015), Kaohsiung (2014),
Vienna (2013), Bali (2012), Ho Chi Minh City (2011), Paris (2010), Kuala
Lumpur (2009), and Linz (2008). This year, Chiang Mai, Thailand, the
city centre for northern Thailand arts and cultures will host MoMM2020.
**** Submissions *****
MoMM accepted four different types of contributions:
- Original theoretical work: The contributions are expected to show
original work that provide foundations to further progress research in
the area. Rigorous proofs and/or performance measurements are expected
for this type of contribution.
- Real world case study: The contributions are expected to show a real
world case study of an adopted concept and technology. The analysis of
the case study should provide an original insight and findings, backing
up by data collected from experiments and/or observation.
- Experimental work: The contributions are expected to show reporting of
rigorous comparative experiments of existing algorithms/systems to
provide insight to the current state of the art in a research domain.
- Lessons learnt reports: The contributions are expected to show lessons
learnt from adoption of complex technology integration or
implementation. Accepted papers and demonstrations from all three
categories will be published in the ACM International Conference
Proceedings Series.
***** Topics *****
Specific topics of interest include, but are not limited to:
- Mobile and ubiquitous multimedia
- Internet of Things solutions and applications
- Smart cities
- Mobile sensing technologies and applications
- Mobile healthcare applications
- Wearable computing - Mobile crowd sensing
- Mobile multimodal interfaces
- Chatbots and conversational interfaces
- Cloud and edge computing
- Immersive computing
- Context-aware applications and recommender systems
- Data Visualisation on mobile devices
- Localisation, positioning and tracking systems
- Mobile distributed reasoning and processing - Spatial searching and
routing
- Multi-agent systems
**** Submission Guidelines ****
Papers and demonstration descriptions must be submitted electronically
in PDF through the conference website. Submitted papers must not
substantially overlap with papers that have been published or that are
simultaneously submitted to a journal, conference, or workshop with
proceedings. Submitted demonstrations should convey a scientific result
and should not be advertisements for commercial software packages.
Submitted papers and demonstrations will be subject to stringent peer
review by at least three members of the international program committee
and carefully evaluated based on originality, significance, technical
soundness, and clarity of exposition. Accepted papers and demonstration
descriptions will appear in the conference proceedings to be published
by ACM. Format requirements for submissions of papers and demonstrations
are:
- Maximum 10 pages, including the abstract (no more than 150 words), all
figures and references for Full Technical papers.
- Maximum 5 pages, including the abstract (no more than 150 words), all
figures and references for Short Position Papers.
- A video clip (for review purpose only) and a description of maximum 4
pages for the demonstration. The description should outline the
underlying novel concepts, methods and/or approaches, and details about
implementation, deployment, testing, and evaluation and user uptake.
- All submissions should be formatted according to ACM guidelines
(https://www.acm.org/publications/proceedings-template)
- Submissions must be entered into the Submission System
(https://www.easychair.org/conferences/?conf=momm2020)
**** Awards ****
MoMM2020 best paper awards, best student paper awards, and best
demonstrations will be selected based on novelty, significance, and the
presentation at the conference. Best student paper awards can only be
awarded to papers on which students are first authors.
**** Past Conferences ****
http://www.iiwas.org/conferences.htm
ACM Digital library: https://dl.acm.org/conference/momm
DBLP: http://www.informatik.uni-trier.de/~ley/db/conf/momm/
*** Contact *****
Pari Delir Haghighi, Program Committee Chair, Monash University, Australia
******************************************************************************
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] [journals] CFP: Frontiers Research Topic on
“Creativity and Robotics”
Date: Thu, 23 Jul 2020 15:24:38 +0100
From: patrícia alves-oliveira <patricialvesoliveira(a)gmail.com>
To: iva-list(a)lists.uni-bielefeld.de,
chi-announcements(a)listserv.acm.org, BCS-HCI(a)jiscmail.ac.uk,
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Call for Papers for Frontiers Research Topic on “Creativity and Robotics”
URL:
https://www.frontiersin.org/research-topics/14181/creativity-and-robotics
DEADLINES
Abstract: 30 November 2020 (optional)
Manuscript: 31 January 2021
KEYWORDS
Human-Robot Interaction, Social Robotics, Creativity, Creative Robotics
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ABOUT THIS RESEARCH TOPIC
Creativity has now emerged at the front line of research in the
interdisciplinary field of Human-Robot Interaction (HRI). The goal of this
Research Topic is to present this research in a single collection. There
are many important lines of investigation within creativity and robotics.
Some include designing and developing robots that can integrate and
facilitate creativity in humans, solve problems creatively, provide “out of
the box” ideas, act curiously, be intrinsically motivated, make sense of
and integrate different stimuli, and extend the human potential by
achieving tasks that neither the robot nor the human could do alone.
We welcome researchers from diverse backgrounds, including those that are
technical/computational, social scientific, and design-oriented.
Interdisciplinarity will be a focus of this Research Topic, as we bring
together research on algorithms and simulations, theoretical systematic
literature reviews and meta-analyses, experimental studies, field studies,
designs, art, and more. Investigations on creativity and robotics come from
different standpoints, from the development of robots that incorporate
creative abilities, to robots that have been developed as tools to
potentiate creativity in humans but are not necessarily creative
themselves. Thus, this is a timely moment for a dedicated venue that
integrates current research efforts in creativity and robotics.
By exploring novel ways to emulate creativity in robots, we aim to create
new tools, as well as to advance the understanding of what creativity is in
humans. Understanding human creativity is an ongoing, active research area
where multiple definitions for the term “creativity” exist. Lacking a
theoretical and algorithmic definition of creativity prevents us from
recreating it in machines. Thus, we intend to present rigorous scientific
advancements in methods, measures, models, algorithms, and theories, that
contribute to the understanding of the interplay between social robots and
creativity research.
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CONTRIBUTIONS
Contributions to this Research Topic are required to provide a clear
definition for the concept of creativity. Additionally, contributions are
expected to discuss how their research contributes to a “common language”
that advances the holistic notion of the concept of creativity across
fields.
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TOPICS OF INTEREST
Include, but are not limited to:
• Algorithms to simulate creativity in social robots
• Curiosity in social robots
• Creativity applications of social robots, including educational,
healthcare, in-home, entertainment, among others
• Humor and jokes in social robots
• Long-term creativity between humans and robots
• Creative content generation in robots
• Outcomes of interaction with a creative robot
• Human perception of creative robots
• Artistic applications of robots reporting creativity outcomes, including
poetry, music, design, visual arts, performances
• Creativity as domain-specific or a domain-general in social robots
• Computational creativity for social robots
• Group versus individual creativity in human-robot interaction
• Creativity measurement in human-robot interaction
• Co-creation with social robots
• Robot embodiments and aesthetics for creativity fostering
• Creative process versus creative outcome
• Measuring human experiences in creating with robots
• Identifying key aspects of human creativity for machine design
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SUBMISSION DEADLINES*
Abstract: 30 November 2020
Manuscript: 31 January 2021
*Submissions will be reviewed and processed as soon as they are submitted
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TOPIC EDITORS
-
Patrícia Alves-Oliveira, University of Washington, USA
-
Amy LaViers, University of Illinois at Urbana-Champaign, USA
-
Peter Kahn, University of Washington, USA
-
Goren Gordon, Tel Aviv University
-
Maya Cakmak, University of Washington, USA
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SUBMISSION SYSTEM
URL:
https://www.frontiersin.org/research-topics/14181/creativity-and-robotics
________________________________________________
Patrícia Alves-Oliveira
The Robot-Creativity Project
patricialvesoliveira.com
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-------- Forwarded Message --------
Subject: [AISWorld] Last Call For Book Chapters: Handbook of Research
on Intelligent Analytics with Multi-Industry Applications
Date: Fri, 24 Jul 2020 13:40:32 +1000
From: Zhaohao Sun <zhaohao.sun(a)gmail.com>
To: aisworld(a)lists.aisnet.org
CC: cmoyer(a)igi-global.com
BOOK: Handbook of Research on Intelligent Analytics with Multi-Industry
Applications
EDITED BY PROF. DR. ZHAOHAO SUN
TO BE PUBLISHED BY IGI Global, USA
https://www.igi-global.com/publish/call-for-papers/call-details/4539
or
http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=96711
or
https://www.researchgate.net/project/Intelligent-Analytics-with-Applications
Introduction
Intelligent analytics is an emerging scientific paradigm that integrates
big data/information/knowledge/wisdom, analytics and artificial
intelligence (AI) to provide smart services to our work, business, life,
industry and society. From a fundamental perspective, intelligent analytics
at least includes intelligent big data analytics, intelligent big
information analytics, intelligent big knowledge analytics, intelligent big
wisdom analytics. Intelligent analytics has been revolutionizing our work,
life, business, management, organization and industry. It becomes
disruptive technology for healthcare, web services, service computing,
cloud computing, 5G development, blockchain and social networking
computing. However, many fundamental, technological and managerial issues
in developing and applying intelligent analytics with multi-industry
applications remain open. For example, what is the foundation of
intelligent analytics? what are the elements of intelligent analytics? What
are the real big characteristics of intelligent analytics? How can apply
intelligent analytics to improve healthcare, mobile commerce, web services,
cloud services, blockchain, 5G development, digital transformation and
industries? What is the effect of intelligent analytics on business,
management, the Internet of things, cloud computing, blockchain, service
and society? This book will address these issues by exploring the
cutting-edge theory, technologies and methodologies of intelligent
analytics with multi-industry applications and emphasize integration of AI,
business intelligence, big data/information/knowledge/wisdom, and analytics
from a perspective of computing, service and management. This book also
provides applications of the proposed theory, technologies and
methodologies of intelligent analytics to e-SMACS (electronic, social,
mobile, analytics, cloud and service) commerce and services, healthcare,
the Internet of things, sharing economy, cloud computing, blockchain, and
Industry 4.0 in the real world.
This book titled “Intelligent Analytics with Multi-industry Applications”
is the first book to reveal the cutting-edge theory, technologies,
methodologies of intelligent analytics with applications. This is also the
first book demonstrating that intelligent analytics is an important enabler
for developing cloud computing, 5G, blockchains, digital transformation,
business, management, governance and services in multi-industry
applications. The proposed approaches will facilitate research, development
and applications of intelligent analytics, big
data/information/knowledge/wisdom analytics, data science, digital
transformation, e-business and web service, service computing, cloud
computing and social computing.
Aims, Scope and Target Audience
This book’s primary aim is to convey the foundations, technologies,
thoughts, and methods of intelligent analytics with multi-industry
applications to scientists, engineers, educators and university students,
business, service and management professionals, policy makers and decision
makers and others who have interest in big data, big information, big
knowledge and big intelligence and wisdom, intelligent analytics, AI, cloud
computing, the Internet of things (IoT), digital transformation, SMACS
intelligence and computing, commerce and service as well as data science,
information science, and knowledge science.
Primary audiences for this book are undergraduate, postgraduate students
and variety of professionals in the fields of big data, data science,
information science and technology, knowledge technology and engineering,
intelligence science, analytics, AI, computing, commerce, business,
services, management and government. The variety of readers in the fields
of government, consulting, marketing, business and trade as well as the
readers from all the social strata can also be benefited from this book to
improve understanding of the cutting-edge theory, technologies,
methodologies and applications of intelligent analytics with applications.
Papers as book chapters of all theoretical and technological approaches,
and applications of intelligent analytics are welcome.
Submissions that cross multiple disciplines such as management, service,
business, artificial intelligence, intelligent systems, data science,
optimization, statistics, information systems, decision sciences, and
industries to develop theory and provide technologies and applications that
could move theory and practice forward in intelligent analytics, are
especially encouraged.
Topics
Topics of contributions to this book include four parts: foundations,
technologies, applications and emerging technologies and applications of
intelligent analytics as follows.
Part I. Foundations of intelligent analytics
Topics: fundamental concepts, models/architectures, frameworks/schemes or
foundations for developing, operating, evaluating, managing intelligent
analytics. The following topics might also include, but not limited to.
• Intelligent analytics as a Science and Technology (IAaaST)
• Big Data science
• Big Data intelligence
• Intelligent Analytics for big data, information, knowledge, intelligence
and wisdom
• Intelligent analytics in business ecosystems
• Decision science for intelligent analytics
• Computing and foundations of intelligent analytics
• New computational models for Big Data
• Mathematical fundamentals of intelligent Big Data analytics
• Fuzzy logic approach to intelligent analytics
• Graph theory for intelligent analytics
• ICT fundamentals for analytics
• Intelligent visualization techniques for analytics
• Statistical modelling for intelligent analytics
• Machine learning for intelligent analytics
• Optimization techniques for intelligent analytics
• Data mining for intelligent analytics
• Business models for intelligent analytics
• Real-time algorithms for intelligent analytics
• Computing thinking for intelligent analytics
Part II. Technologies for intelligent analytics
Topics: Technologies for developing intelligent analytics might also
include the following topics, but not limited to.
* Intelligent Analytics as a System (IAaaSy)
* Intelligent Analytics as a Service (IAaaSe)
* Intelligent Analytics as a Management (IAaaM)
* Intelligent Analytics as a Business (IAaaB)
* Rule-based systems,
* Machine learning,
* Multi-agent systems,
* Neural networks systems,
* Fuzzy logic,
* Cased-based reasoning,
* Genetic algorithms,
* Data mining algorithms,
* Intelligent agents,
* Intelligent user interfaces
* Web technologies,
* Intelligent big data/information/knowledge technologies,
* Intelligent service technologies,
* Social networking technologies,
* Intelligent decision technologies,
* Intelligent management technologies and business technologies.
* Machine-to-machine communication
Part III. Multi-industry Applications of intelligent analytics
Topics: cases for using foundations and technologies in Part I, II in
multi-industry applications and various domains such as digital
transformation, blockchain, 5G, SMACS computing, commerce and services,
financial services, legal services, healthcare services, educational
services, and military services taking into account intelligent diagnostic,
descriptive, predictive and prescriptive analytics. The following topics
might also include, but not limited to.
* Intelligent Analytics as an application
* Intelligent analytics with applications
* Intelligent analytics-based innovation and entrepreneurship
* Intelligent analytics in business ecosystems
* Intelligent analytics with public and open data
* Intelligent analytics and markets
* Intelligent analytics for e-commerce
* Intelligent analytics for cloud computing
* Intelligent analytics for IoT
* Intelligent analytics for blockchain
* Intelligent analytics for 5G applications
* Intelligent analytics in business decision making
* Intelligent analytics in healthcare
* Marketing Analytics
* Intelligent analytics in banking industry
* Intelligent analytics in social networking services
* Intelligent analytics for Big Data, information, knowledge and
intelligence
* Cybersecurity and privacy issues in Intelligent analytics.
* Intelligent analytics for management
* Intelligent analytics for risk management
* Organization analytics
Part IV. Emerging technologies and applications for intelligent analytics
Topics: Emerging technologies, methodologies, and applications for
intelligent analytics. The following topics might also include, but not
limited to
* Emergent AI-based technologies
* Emergent intelligent analytics technologies
* Challenges for intelligent big data analytics
* Challenges for intelligent big information analytics
* Challenges for intelligent big knowledge analytics
* Challenges for intelligent analytics research
* Challenges for intelligent analytics applications
* Challenges for intelligent analytics tools
Submission Procedure
Please submit a brief summary (abstract) consisting of title and round
150-200 words for the proposed chapter clearly identifying the main
objectives of your contribution online by clicking “propose a chapter” at
https://www.igi-global.com/publish/call-for-papers/call-details/4539 or to
the editor at zhaohao.sun(a)gmail.com by July 30, 2020. Authors of the
accepted proposals will be notified and provided with detailed guidelines.
Full chapters are to be submitted by 15 August, 2020.
Submission Format and Evaluation
This book will be developed using the eEditorial Discovery™ online
submission manager. Therefore, all manuscripts of book chapter must be
submitted online using
https://www.igi-global.com/submission/submit-chapter/?projectid=8480e8ad-d6…
Every book chapter submission should consist of 8,000-12,000 words, and be
structured into sections including Abstract, Introduction, background (or
related work), main sections, future research directions, conclusion,
references. Every book chapter must be submitted in Microsoft® Word, and be
typewritten in English in APA style based on “manage source” and “insert
citation” function.
Every book chapter submission is original. Only ORIGINAL articles will be
accepted for publication by IGI-Global. Upon acceptance of your article,
you will be required to sign a warranty that your article is original and
has NOT been submitted for publication or published elsewhere.
All chapter submissions undergo a double-blind peer-review using the
eEditorial Discovery™ online submission manager. Conditioned chapters will
have an additional opportunity for being improved and evaluated. In the
second evaluation, a definitive editorial decision among: accepted or
rejected will be reported. All of the accepted chapters must be submitted
according to the Editorial publishing format rules timely. Instructions for
authors can be downloaded at:
http://www.igi-global.com/Files/AuthorEditor/guidelinessubmission.pdf.
The final chapters are copy edited/proofed by the authors prior to
submission, following the IGI Global chapter formatting and submission
guidelines.
Important Dates
* July 30, 2020: Proposal Submission Deadline
* August 02, 2020: Notification of Acceptance
* August 15, 2020: Full Chapter Submission
* August 30, 2020: Review Results Returned
* September 2, 2020: Final Acceptance Notification
* September 10, 2020: Final Chapter Submission.
* September – November 2020: estimated publishing period.
Editor Information
Prof. Dr. Zhaohao Sun, Ph.D.
Editor of Handbook of Research on Intelligent Analytics with
Multi-Industry Applications
Research Centre of Big Data Analytics and Intelligent Systems (BAIS)
Department of Business Studies
PNG University of Technology
Morobe, PNG
&
Federation University Australia
zhaohao.sun(a)gmail.com
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-------- Forwarded Message --------
Subject: [AISWorld] HCOMP 2020: Second round of applications for
Doctoral Consortium
Date: Wed, 22 Jul 2020 12:52:23 +0300
From: HCOMP Publicity <hcomp.publicity(a)gmail.com>
To: AISWorld(a)lists.aisnet.org
* We apologize for cross-posting *
*** Covid-19 announcement ***
The HCOMP organisers are monitoring the ongoing situation around
Covid-19 closely. We plan to hold the conference at the same dates,
either online, or, if it‘s safe and the restrictions allow it, at the
planned venue in the Netherlands. We aim to disclose further details in
a few months. In the meantime, we’re looking forward to your submissions!
*** HCOMP 2020: Second round of applications for Doctoral Consortium ***
• Hilversum, the Netherlands
• October 26-28 2020
• Website: https://www.humancomputation.com
<https://www.humancomputation.com/>
• Twitter: @hcomp_conf
IMPORTANT DATES (Deadline extension) - ALL TIMES ARE MIDNIGHT CEST
(AMSTERDAM TIME)
• August 11: Second round of Doctoral Consortium applications due
• September 8: Second round of Doctoral Consortium notifications sent
HCOMP’s annual Doctoral Consortium provides doctoral students with a
unique opportunity to meet each other and experienced researchers in the
field. Students will be mentored by a group of faculty who are leaders
in the diverse specialties that make up the HCOMP field. The objectives
of the Doctoral Consortium are to provide students with an opportunity:
• To present and discuss their research with experienced researchers:
the Doctoral Consortium Mentors;
• To establish a supportive community, including other doctoral students
at a similar stage of their dissertation research;
• To provide a platform for broader exposure for their research, both in
general and in support of future a job search.
AREAS OF INTEREST
HCOMP is unique in the diversity of disciplines it draws upon, and
contributes to, ranging from computer science, artificial intelligence,
and human-computer interaction, to economics and the social sciences,
all the way to digital humanities, policy, and ethics. This year, we
especially encourage works that generate new insights into the quality
(or qualities) of human-annotated datasets, including elements such as
reliability and replicability of human computation and crowdsourcing
experiments, novel metrics for aggregation of results, and holistic
approaches to deal with bias, fairness, and interpretability.
ELIGIBILITY
Applicants must be currently enrolled in a full-time PhD program and
have written, or be close to completing, a thesis proposal (or
equivalent). We will give preference to students who have proposed or
are about to propose but are far enough from completing their thesis
that the feedback they receive at the event can impact their work.
Before submitting, students should discuss this criterion with their
advisor or supervisor.
ATTENDANCE
Those accepted are required to present their work at the Doctoral
Consortium. Participants will also likely be required to present a
poster on their work during the poster session at the main conference.
SELECTION
Submissions will be reviewed by a Program Committee of Doctoral
Committee Mentors, with selection based upon the expected potential of
both the student and their proposed work, as well as the expected
benefit to the student from participation. Priority will be given to
students whose research goes beyond locally available expertise at their
home institutions.
FINANCIAL SUPPORT
More information about financial support coming soon.
APPLICATION
Applicants must submit a solely-authored paper in English containing: 1)
a Doctoral Research Overview; and 2) a Supplemental Paragraph.
DOCTORAL RESEARCH OVERVIEW.
Please summarize your doctoral research, including the following sections:
• Motivation for the proposed research;
• Background and related work (including key references);
• Description of the proposed research, including key research questions
and planned methodology to be used for investigating these research
questions;
• Proposed experiments if appropriate; Any preliminary evaluation and
findings are welcomed, but this is not required.;
• Specific research issues and/or challenges (do not skip these; the
consortium is about helping you solve issues, not boasting about the
issues you already solved!).
SUPPLEMENTAL PARAGRAPH.
Please write a paragraph explaining:
• Why you want to participate in the consortium at this point in your
doctoral studies and how you expect to benefit from the consortium;
• The status of your dissertation proposal (writing, submitted,
presented, or approved);
• Your expected (approximate) defense date.
LENGTH AND ORGANIZATION.
Your paper should be no more than 4 pages in total: 3 pages for the
Doctoral Research Overview (including all figures and references), and
the 4th page being the Supplemental Paragraph. The first page must
contain the title of the paper, full author name, affiliation and
contact details, an abstract of up to 250 words, and up to 3 keywords
describing the research topic areas.
FORMATTING.
Papers must be formatted in AAAI two-column, camera-ready style; please
refer to the AAAI 2019 Author Kit for details. Papers must be in
trouble-free, high-resolution PDF format, formatted for US Letter (8.5”
x 11”) paper, using Type 1 or TrueType fonts. It is the responsibility
of the student to ensure that their submission uses no unusual
formatting and is printable on a standard printer. The AAAI copyright
block is not required for works-in-progress or demo submissions, as they
are not included in the formal proceedings. Please see below for
information regarding dissemination.
SUBMISSION.
Electronic submission through the HCOMP-20 EasyChair
(https://easychair.org/conferences/?conf=hcomp2020
<https://easychair.org/conferences/?conf=hcomp2020>) paper submission
site is required on or before the deadline listed above. We cannot
accept submissions by e-mail or fax. Authors will receive confirmation
of receipt of their submissions, including an ID number, shortly after
submission. HCOMP will contact authors again only if problems are
encountered with papers.
DISSEMINATION.
Submissions will be distributed only to mentors and other attendees of
the doctoral consortium. Proceedings of the Doctoral Consortium will NOT
be archived. As such, students may freely submit their research
contributions for official publication in other venues. Participant
names and university affiliations, as well as paper titles and
abstracts, will be publicized on the conference website and in the
conference program for the poster session.
QUESTIONS?
Please contact the Doctoral Consortium Chairs.
Maribel Acosta, at maribel.acosta(a)kit.edu
<mailto:maribel.acosta@kit.edu> Markus Krause, at
public.markus.krause(a)gmail.com <mailto:public.markus.krause@gmail.com>
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