[AISWorld] CFP HRI 2024 Workshop on Taking a Closer Look: Refining Trust

[Lionel Robert]

Taking a Closer Look: Refining Trust and its Impact in HRI

https://sites.google.com/vt.edu/hri-trust/


About the Workshop:

With the advancement of robots and AI, researchers have pondered over
human-robot coexistence as robots gradually participate in human life.
However, some people still hold concerns about using or living with robots
and doubt robot’s capability and reliability. To facilitate user acceptance
and satisfaction of robots, understanding the impact of potential factors
on user trust toward robots is crucial. This workshop aims to provide a
platform for HRI researchers, practitioners, and students from diverse
disciplines to engage in a discussion to define/refine the construct of
trust, understand different factors that influence trust in HRI and their
impacts, and measure various aspects of trust. The workshop will contribute
to building a solid research community on this crucial construct and
guiding future research and development of better human-robot interaction.


Topics of Interest (include but are not limited to):

   1.

   Trust as a complicated construct


   -

   Trust as a State vs. Trait (attitude)
   -

   Cognitive trust vs. affective trust
   -

   Trust as a dynamic status (trust calibration)
   -

   Artificial trust


   1.

   Factors that influence trust


   -

   Human-related factors: emotions, personality, attitude (TAM),
   interaction types
   -

   Robot-related factors: interfaces, appearance/form factors, expressions,
   movements (distance/proxemics, speed), personal space, performance,
   reliability
   -

   Contextual factors: task types, hierarchy, contexts


   1.

   Measuring trust


   -

   Subjective, behavioral, and neurophysiological metrics
   -

   Dynamic measure of trust as a function of time/interaction
   -

   Building an open-source dataset

Submission Guidelines:

We invite authors to submit their contributions as 1-3 page position
papers, excluding references, in the HRI 2024 extended abstract format by
the end of February 2, 2024 (AOE). Position papers must describe one or
more theoretical approaches to trust in HRI. Depending on the number of
position papers accepted, participants will be invited to prepare a short
talk or poster to present at the workshop. We will also allow passive
participants who will attend the workshop without an accepted position
paper.


All submissions should be made as a .pdf file following the general ACM SIG
format (“sigconf”, double column format), the same format as the full paper
and LBR submissions. Templates can be found here
<https://www.acm.org/publications/proceedings-template> or on Overleaf
<https://www.overleaf.com/latex/templates/acm-conference-proceedings-primary-article-template/wbvnghjbzwpc>directly.
Submissions are not required to be anonymized.


Submissions should be made via email at hri2024trust at gmail.com


Important Dates:

   -

   Submission Deadline: February 2, 2024
   -

   Notification of Acceptance: February 16, 2024
   -

   Camera-ready Deadline: February 23, 2024
   -

   Workshop Day: March 11, 2024

All deadlines are at 23:59 Anywhere on Earth (AOE) time.


Organizers:

   -

   Jiayuan Dong, PhD student, Virginia Tech
   -

   Connor Esterwood, PhD student, University of Michigan
   -

   Xin Ye, PhD student, University of Michigan
   -

   Jennifer Mitchell, PhD student, Virginia Tech
   -

   Wonse Jo, Post Doc, University of Michigan
   -

   Lionel Robert, Professor, University of Michigan
   -

   Chung Hyuk Park, Associate Professor, George Washington University
   -

   Myounghoon Jeon, Associate Professor, Virginia Tech


Please email hri2024trust at gmail.com if you have any additional questions.

Best regards,

Lionel

*New Robotics and AI Paper(s):*
Esterwood, C. and *Robert, L. P.* (2023). *The Theory of Mind and
Human-Robot Trust Repair,* *Scientific Reports,* 13, Article: 9877 open
access https://doi.org/10.1038/s41598-023-37032-0.

Marcu, G., Lin, I., Williams, B., *Robert, L. P.* and Schaub, F.
(2023). *"Would
I Feel More Secure With a Robot?": Understanding Perceptions of Security
Robots in Public Spaces, **Proceedings of the ACM on Human-Computer
Interaction*, 7, CSCW, Article 322, October, open access
https://doi.org/10.1145/3610171

X. Ye and *Robert, L. P. *(2023). *Human Security Robot Interaction and
Anthropomorphism: An Examination of Pepper, RAMSEE, and Knightscope Robots*,
*2023 32nd IEEE International Conference on Robot and Human Interactive
Communication *(*RO-MAN)*, Busan, Korea, Republic of, 2023, pp. 982-987,
https://doi.org/10.1109/RO-MAN57019.2023.10309400.

Lionel P. Robert Jr.
Professor, School of Information
<https://www.si.umich.edu/people/lionel-robert>
Professor, College of Engineering Robotics Department
<https://robotics.umich.edu/core-faculty/>
Affiliate Faculty, National Center for Institutional Diversity
<https://lsa.umich.edu/ncid>
Affiliate Faculty, IU Center for Computer-Mediated Communication
<https://ccmc.ils.indiana.edu/>
Director of MAVRIC <https://mavric.si.umich.edu>
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>