-------- Forwarded Message -------- Subject: [AISWorld] Announcing Volume 10, Issue 1 of AIS Transactions on Human-Computer Interaction Date: Tue, 3 Apr 2018 01:00:13 +0000 From: Galletta, Dennis galletta@katz.pitt.edu To: 'AISWorld@lists.aisnet.org' AISWorld@lists.aisnet.org
Dear AIS Community:
In the aftermath of an eventful holiday weekend and an unexpected snowfall in the Northeast USA, we are happy to announce the first issue of the 10th volume of AIS Transactions on Human-Computer Interaction (THCI). This issue, we have two research articles, which were posted on time, just before the holiday started.
THCI is one of the journals in the AIS (Association for Information Systems) e-library at http://aisel.aisnet.org/thci. To increase awareness and readership, THCI is still freely available to everyone during its initial years of publishing. You can find information related to all aspects of THCI at its website (http://aisel.aisnet.org/), including how to submit. We would like to thank AIS http://home.aisnet.org/ Council for its continued support of the journal. And, as always, we are happy to announce that we have published the journal on time for all 37 issues.
============
In this issue
============
Antecedents and Consequents of Information Usefulness in User-generated Online Reviews: A Multi-group Moderation Analysis of Review Valence
by
Contantinos K. Coursaris, Michigan State University, USA
Wietske Van Osch, Michigan State University, USA,
Alice Albini, IESEG School of Management, France
Abstract:
Online reviews have become a critical component of consumers' Web-based search queries and help them minimize uncertainty and risk associated with purchase decisions. Not only do customers perceive online reviews to be more "real", but also online reviews enable opportunities for interactivity between consumers, which makes them a popular source of information when consumers make (online) purchase decisions. In this study, we examine the impact of online reviews on consumers' beliefs, brand attitudes, and purchase intention by theoretically extending the information adoption model (IAM) with constructs from consumer research. To do so, we used data from a scenariobased online experiment and manipulated three review characteristics (currency, accuracy, and credibility) using carefully selected TripAdvisor reviews. Using a partial-least squares approach (PLS) to structural equation model (SEM), we found strong empirical support for our hypotheses that review quality and reviewer credib ility drive information usefulness and that information usefulness, in turn, drives consumers' attitudes toward and their intention to purchase from a brand. Using PLS multi-group analysis, we further explored the moderating role of review valence-positive versus negative-and found significant differences in the importance of the drivers of information usefulness and its consequents. We discuss our study's implications for theory and practice.
Real-time Prediction of User Performance based on Pupillary Assessment via Eye Tracking
by
Ricardo Buettner, Aalen University, Germany
Sebastian Sauer, FOM University of Applied Sciences for Economics and Management, Germany
Christian Maier, University of Bamberg, Germany
Andreas Eckhardt, German Graduate School of Management and Law
Abstract:
We propose a method to predict user performance based on eye-tracking. The method uses eye-tracking-based pupillometry to capture pupil diameter data and calculates-based on a Random Forest algorithm-user performance expectations. We conducted a large-scale experimental evaluation (125 participants aged from 21 to 61 years) and found promising results that pave the way for a dynamic real-time adaption of IT to a user's mental effort and expected user performance. We have already achieved a good classification accuracy of user performance after only 40 seconds (5% of the mean total trial time that our participants took to complete our experiment). The non-invasive contact-free method can be applied cost-efficiently both in research and practical environments.
==================
Call for Papers
==================
THCI is a high-quality peer-reviewed international scholarly journal on Human-Computer Interaction. As an AIS journal, THCI is oriented to the Information Systems community, emphasizing applications in business, managerial, organizational, and cultural contexts. However, it is open to all related communities that share intellectual interests in HCI phenomena and issues. The editorial objective is to enhance and communicate knowledge about the interplay among humans, information, technologies, and tasks in order to guide the development and use of human-centered Information and Communication Technologies (ICT) and services for individuals, groups, organizations, and communities.
Topics of interest to THCI include but are not limited to the following:
* The behavioral, cognitive, motivational and affective aspects of human and technology interaction
* User task analysis and modeling; fit between representations and task types
* Digital documents/genres; human information seeking and web navigation behaviors; human information interaction; information visualization
* Social media; social computing; virtual communities
* Behavioral information security and information assurance; privacy and trust in human technology interaction
* User interface design and evaluation for various applications in business, managerial, organizational, educational, social, cultural, non-work, and other domains
* Integrated and/or innovative approaches, guidelines, and standards or metrics for human centered analysis, design, construction, evaluation, and use of interactive devices and information systems
* Information systems usability engineering; universal usability
* The impact of interfaces/information technology on people's attitude, behavior, performance, perception, and productivity
* Implications and consequences of technological change on individuals, groups, society, and socio-technical units
* Software learning and training issues such as perceptual, cognitive, and motivational aspects of learning
* Gender and information technology
* The elderly, the young, and special needs populations for new applications, modalities, and multimedia interaction
* Issues in HCI education
The language for the journal is English. The audience includes international scholars and practitioners who conduct research on issues related to the objectives of the journal. The publication frequency is quarterly: 4 issues per year to be published in March, June, September, and December. The AIS Special Interest Group on Human-Computer Interaction (SIGHCI, http://sigs.aisnet.org/SIGHCI/) is the official sponsor of THCI.
====================================================================
Please visit the links above or the links from our AIS THCI page (http://aisel.aisnet.org/thci/) for details on any current or emerging special issue calls that will be announced in the future. Please keep checking our home page to see what is brewing! If you have an idea for a special issue, please drop us a line any time.
Sincerely,
Dennis Galletta and Paul Lowry, co-Editors in Chief
Greg Moody, Managing Editor
---------------------------------------------------------------------------- Dennis F. Galletta Professor of Business Administration University of Pittsburgh Ben L. Fryrear Faculty Fellow 282a Mervis Hall and Director, Katz Doctoral Program Phone +1 412-648-1699 Katz Graduate School of Business Fax +1 412-624-3633 Pittsburgh, PA 15260 E-mail: galletta @ pitt.edu homepage: www.pitt.edu/~gallettahttp://www.pitt.edu/~galletta ----------------------------------------------------------------------------
_______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org