[AISWorld] CFP: Special Issue on Social Robots in Business Practices and Lifestyle

Tue Feb 8 12:06:48 EST 2022

Social Robots in Business Practices and Lifestyle

Social robots, also called companion robots (or service robots), comprise a
physical humanoid robot component that connects through a network
infrastructure to Web services that enhance traditional robot
functionalities. Robots can now easily capture a user’s physical activity
state (e.g., walking, standing, running, etc.) and store personalized
information (e.g., face, voice, location, activity pattern, etc.) through
the camera, microphone, and sensors by Artificial Intelligence (AI)
technologies. Humanoid robots often behave like natural partners for social
interaction for human users, with features such as speech, gestures, and
eye-gaze when referring to users’ personal data and social context. The
user behavior of anthropomorphic robot users shows that they are more open
to robots. Some prior research shows that it is much easier for a humanoid
robot to gain trust from users. Companion robots can interact with humans
by performing tasks that adhere to specific social cues and rules. They
offer human facial, voice, and emotion recognition features, including
adding human-like personalities to their AI capabilities to achieve better
human-machine communication. Human-Robot Interaction (HRI) is a research
area whose purpose is to understand, design, and evaluate robots for use by
or with humans. The foundations of this special issue will set the baseline
for understanding how HRI is likely to influence and change our business
practices and lifestyle. This special issue will also introduce and discuss
the emerging use of companion robots in different Web-based application
domains such as online customer service and healthcare management. We will
solicit research and industry papers related to these specific challenges
and others driving innovation in robotic computing and related research
issues.

This special issue provides the fundamentals of social robots, covering
their computational development, technical capabilities, and roles in
academic, societal, corporate, and governmental strategies. The special
issue will provide clear evidence that Web services play an
ever-increasingly essential and critical role in supporting robotic
computing, a new discipline for interdisciplinary research in business,
information systems, and even social sciences. This special issue should
also further investigate new best practices and directions for social
robots and HRI. This special issue covers topics such as:

   - Data modeling, analytics, and algorithms for social robots
   - Web services for robots
   - The conceptual and technical architecture for social robots
   - Security, privacy, and trust in social robots
   - Industry standards and solution stacks in social robots
   - Promoting cooperative and collaborative interaction with social robots
   - Anthropomorphism and Uncanny Valley Theory in social robots
   - User experience in robotic computing
   - Examining uncooperative and adversarial HRI
   - The role of adoption and appropriation in HRI
   - Verbal and non-verbal communication with robots in HRI
   - HRI in groups and teams beyond dyadic interactions
   - Empirical studies examining the cognitive, psychological, emotional,
   and social aspects of HRI
   - The impact of haptic feedback and touch on HRI
   - The role of robot attractiveness on HRI
   - Ethics on HRI
   - Social-emotional models of HRI
   - Theoretical frameworks for HRI
   - Design implications for robot interactions at home, work, and public
   spaces
   - Human-oriented practices that promote HRI
   - New methodological approaches to studying HRI
   - Application of HRI to businesses and organizations
   - Case Studies (e.g., healthcare, customer service, aviation, etc.)

*Abstract deadline*
31 March 2022

*Manuscript deadline*
31 May 2022

Link to the CFP Website
<https://think.taylorandfrancis.com/special_issues/social-robots-business-practices-lifestyle/?utm_source=TFO&utm_medium=cms&utm_campaign=JPG15743>

Best regards,

Lionel

*New Robotics and AI Paper(s):*
You, S. and *Robert, L. P. *(2022). *Subgroup Formation in Human-Robot
Teams: A Mixed Method Approach with Implications for Theory and
Practice*, *Journal
of the Association for Information Science and Technology*, (pdf
<https://deepblue.lib.umich.edu/bitstream/handle/2027.42/171467/You%20and%20Robert%20Manuscript%20Subgroup%20JASIST%202022.pdf?sequence=1&isAllowed=y>),
Accepted on Jan 24, 2022. open access link: https://dx.doi.org/10.7302/3979.

Esterwood, C. and *Robert, L. P. *(2022)  *Having The Right Attitude: How
Attitude Impacts Trust Repair in Human-Robot Interaction*, *Proceedings of
the 2022 ACM/IEEE International Conference on Human-Robot Interaction* (*HRI
2022*), (pdf
<https://deepblue.lib.umich.edu/bitstream/handle/2027.42/171268/Esterwood%20and%20Roboert%202022%20HRI.pdf?sequence=1&isAllowed=y>),
(*Acceptance rate: 24.8%*), March 7-10, 2022, Originally Sapporo, Hokkaido,
Japan. open access link https://dx.doi.org/10.7302/3781.

Zhang, Q., Yang, X. J. and *Robert, L. P.* (2021). *What and When to
Explain? A Survey of the Impact of Explanations on Attitudes Towards
Adopting Automated Vehicles*, *IEEE Access*, 9, 159533 -159540 (pdf
<https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9625923>), open
access link: https://doi.org/10.1109/ACCESS.2021.3130489.

Esterwood, C., Essenmacher, K., Yang, H., Zeng, F. and Robert, L. P.
(2021). *Birds of a Feather Flock Together: But Do Humans and Robots? A
Meta-Analysis of Human and Robot Personality Matching,* *Proceedings of
30th IEEE International Conference on Robot and Human Interactive
Communication *(RO-MAN 2021). http://hdl.handle.net/2027.42/168397.

Esterwood, C. and Robert, L. P. (2021). *Do You Still Trust Me? Human-Robot
Trust Repair Strategies*, *Proceedings of 30th IEEE International
Conference on Robot and Human Interactive Communication* (RO-MAN 2021).
http://hdl.handle.net/2027.42/168396.

Lionel P. Robert Jr.
Associate Professor, School of Information
<https://www.si.umich.edu/people/lionel-robert>
Core Faculty, Michigan Robotics Institute
<https://robotics.umich.edu/core-faculty/>
Affiliate Faculty, National Center for Institutional Diversity
<https://lsa.umich.edu/ncid>
Affiliate Faculty, Center for Hybrid Intelligence Systems
<https://hyints.engin.umich.edu/>
Affiliate Faculty, IU Center for Computer-Mediated Communication
<https://ccmc.ils.indiana.edu/>
Director of MAVRIC <https://mavric.si.umich.edu>
Co-Director of DOW Lab
University of Michigan
Email: lprobert at umich.edu
UMSI Website <https://www.si.umich.edu/directory/lionel-robert> | Personal
Website  <https://sites.google.com/a/umich.edu/lionelrobert/home>
MAVRIC: https://mavric.si.umich.edu