HICSS-52 Call for papers for the minitrack on:
“COLLABORATION WITH AUTOMATION: MACHINES AS TEAMMATES MINITRACK"
Hawai'i International Conference on Systems Sciences (HICSS)
Maui - January 8-11, 2019
Papers are invited for the minitrack on “Collaboration with
Automation: Machines as Teammates Minitrack" as part of the
Collaboration Systems and Technology Track at the Hawaii
International Conference on System Sciences (HICSS):
Siri (the Apple iPhone conversational assistant), Alexa
(Amazon’s conversational agent), physical robots, virtual
customer-service agents, and many other pseudo-intelligent
agents, use text clues, vocal cues, or other environmental
sensors to retrieve information from the user, process it, and
respond appropriately. These agents help individuals complete
everyday tasks such as find directions, ask for help when
ordering goods or services on a website, or understand
additional information about a topic or idea. Humans still use
automated agents for simple, utilitarian tasks, but these
types of assistants are able to undertake larger and more
important tasks. While intelligent agents present a potential
solution, it is not fully understood about how humans will
actually interact with digitized experts or if humans utilize
intelligent agents in ways different from traditional
human-to-human collaboration. As intelligent systems advance
and become more ubiquitous, we need to explore new dimensions
of human-computer collaboration based on natural communication
patterns and consideration of human individual differences.
This minitrack will examine the emergence of this new type of
collaboration and its implications for individuals, teams,
organizations, and crowds. It is focused at the intersection
of human-machine collaboration. Themes and topics of relevance
to this mini-track include, but are not limited to:
Human interaction
with automated teammates
- Individual differences and personality traits
needed for quality collaboration with machines
- Studies that examine leadership, or group
dynamics when digital agents are part of the team
- Studies or theories that examine trust in
automation and how this trust is activated, violated,
increased or diminished by automated teammates
- Human collaboration with artificial agents
and the evaluation of computer systems as team members,
including agent-based support for individual decision makers
- Case studies or experiments that examine how
cultural or organizational paradigms impact the acceptance
or rejection of automated teammates
- Potential positive impacts (e.g., cognitive
support, increased decision accuracy, etc.) or negative
(e.g., overreliance on automation, loss of expertise,
threat, etc.) of introducing automated teammates
- Potential positive and negative affective
impacts (e.g., trust, satisfaction, envy, etc.) of
automatons on individuals
Design approaches
for collaborating automatons
- Theories, guidelines and strategies for
designing more collaborative automatons
- Frameworks for division of labor between
human and machine partners
- Usability considerations as it relates to
collaboration with artificial intelligence
- Architectures for machine-based collaboration
agents
- Proof of concepts – examples of breakthrough
collaboration automatons, processes and systems
Theoretical
development for automated teammates
- Theoretical foundations of productivity,
creativity, satisfaction, and other constructs relating to
collaboration with automation
- Theories and techniques for incorporating
automation into existing teams
- New phenomena and theories that emerge as
humans begin to collaborate with artificial intelligence
- Coping with resistance to change in
machine-based collaboration
- Success factors for collaborating with
machines
- Theories for acceptance, use, and diffusion
of collaborating automatons
- Studies on the efficacy of interventions
intended to introduce collaborative agents into an
organization
Minitrack Co-Chairs:
Douglas Derrick (Primary Contact)
University of Nebraska at Omaha
dcderrick@unomaha.edu
Isabella Seeber
University of Innsbruck
Isabella.seeber@uibk.ac.at
Joel Elson
University of Nebraska at Omaha
jselson@unomaha.edu
Submit an electronic copy of the full paper, 10 pages including
title page, abstract, references and diagrams using the review
system available at the HICSS site (
http://hicss.hawaii.edu/), make
sure that the authors? names and affiliation information has
been removed to ensure an anonymous review.
TIMELINE:
June 15: Full papers uploaded to the minitrack through the
submission system at
http://hicss.hawaii.edu.
August 15: Notification of accepted papers mailed to authors.
September 15: Accepted manuscripts, camera-ready, uploaded;
author(s) must register by this time.
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Isabella SEEBER
Assistant Professor