Conformity and Trust in Multi-party vs. Individual Human-Robot Interaction
In this study, we explored how conformity and trust vary in adolescent students' interactions with a social robot. Specifically, we compared how this was influenced by whether the participants had individual or multi-party interaction with robot and whether the robot was portrayed as an adult or a child through appearance and voice. Our experiment involved 75 Swedish middle school students participating in a card sorting game with the Furhat robot, where the objective was to discuss and reach an agreement on the card sequence. The data analysis focused firstly on the participants' willingness to rearrange cards following the robot's suggestions and secondly their post-session subjective trust in the robot's advice. Results indicated that individuals interacting with the robot individually were more likely to conform to its suggestions than those interacting with it together with a peer. Individuals interacting alone with the robot also showed higher post-session trust levels than those in multi-party settings, indicating group size impacts robot trustworthiness perceptions. However, the robot's perceived age did not affect the level of conformity. Exploratory analyses also showed that mutual understanding was lower in the multi-party setting, while the child robot condition improved user experience, highlighting the complex influence of group dynamics and robot portrayal on human-robot interactions in education.
Publication Details
- Type
- Conference Paper
- Published in
- ACM International Conference on Intelligent Virtual Agents (IVA '24)
- Publisher
- Association for Computing Machinery
- Series
- IVA '24
- ISBN
- 979-8-4007-0625-7
- DOI
- 10.1145/3652988.3673954
- Year
- 2024
- Location
- Glasgow, UK
Cite (BibTeX)
@inproceedings{kamelabad2024-ConformityTrustMultiparty,
title = {Conformity and Trust in Multi-party vs. Individual Human-Robot Interaction},
booktitle = {ACM International Conference on Intelligent Virtual Agents (IVA '24)},
author = {Kamelabad, Alireza M. and Engwall, Olov and Skantze, Gabriel},
year = {2024},
series = {IVA '24},
publisher = {Association for Computing Machinery},
address = {Glasgow, UK},
doi = {10.1145/3652988.3673954},
isbn = {979-8-4007-0625-7}
}