Müller, Ana; Richert, Anja:
Egocentric Robots in a Human-Centric World? Exploring Group-Robot-Interaction in Public Spaces
In: De.arXiv.org (2024-07-25)
2024-07-25Essay / Article in JournalOpen Access
Faculty of Process Engineering, Energy and Mechanical Systems
Title:
Egocentric Robots in a Human-Centric World? Exploring Group-Robot-Interaction in Public Spaces
Author:
Müller, AnaTH Köln
DHSB-ID
THK0006985
SCOPUS
57944865000
SCOPUS
58593076700
Other
person connected with TH Köln
corresponding author
;
Richert, AnjaTH Köln
DHSB-ID
THK0003203
SCOPUS
36176257900
Other
person connected with TH Köln
Date published:
2024-07-25
„Publication Channel“:
Open Access
arXiv.org ID
arXiv.org ID
Note:
Accepted at the workshop on advancing Group Understanding and robots' adaptive behavior (GROUND), held at the Robotics Science and Systems (RSS) Conference, 2024. Winner Best Poster Award (2024).
Language of text:
English
Keyword, Topic:
Group-Robot-Interaction ; Human-Robot-Interaction ; Multi-Party-Interaction ; Public Spaces ; HRI
Type of resource:
Text
Peer Reviewed:
Peer Reviewed
Practice Partner:
Yes
Category:
Research
Part of statistic:
Part of statistic

Abstract in English:

The deployment of social robots in real-world scenarios is increasing, supporting humans in various contexts. However, they still struggle to grasp social dynamics, especially in public spaces, sometimes resulting in violations of social norms, such as interrupting human conversations. This behavior, originating from a limited processing of social norms, might be perceived as robot-centered. Understanding social dynamics, particularly in group-robot-interactions (GRI), underscores the need for further research and development in human-robot-interaction (HRI). Enhancing the interaction abilities of social robots, especially in GRIs, can improve their effectiveness in real-world applications on a micro-level, as group interactions lead to increased motivation and comfort. In this study, we assessed the influence of the interaction condition (dyadic vs. triadic) on the perceived extraversion (ext.) of social robots in public spaces. The research involved 40 HRIs, including 24 dyadic (i.e., one human and one robot) interactions and 16 triadic interactions, which involve at least three entities, including the robot.