Abstract
Effective and successful interactions between robots and people are possible only when they both are able to infer the other’s intentions, beliefs, and goals. In particular, robots’ mental models need to be transparent to be accepted by people and facilitate the collaborations between the involved parties. In this study, we focus on investigating how to create legible emotional robots’ behaviours to be used to make their decision-making process more transparent to people. In particular, we used emotions to express the robot’s internal status and feedback during an interactive learning process. We involved 28 participants in an online study where they rated the robot’s behaviours, designed in terms of colours, icons, movements and gestures, according to the perceived intention and emotions.
Original language | English |
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Title of host publication | Social Robotics |
Subtitle of host publication | 13th International Conference, ICSR 2021, Singapore, Singapore, November 10–13, 2021, Proceedings |
Editors | Haizhou Li, Shuzhi Sam Ge, Yan Wu, Agnieszka Wykowska, Hongsheng He, Xiaorui Liu, Dongyu Li, Jairo Perez-Osorio |
Publisher | Springer Nature Link |
Pages | 397-407 |
Number of pages | 11 |
Volume | 13086 |
ISBN (Electronic) | 9783030905255 |
ISBN (Print) | 9783030905248 |
DOIs | |
Publication status | Published - 2 Nov 2021 |
Event | 13th International Conference on Social Robotics - , Singapore Duration: 10 Nov 2021 → 13 Nov 2021 https://www.colips.org/conferences/icsr2021/wp/ |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 13086 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 13th International Conference on Social Robotics |
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Abbreviated title | ICSR |
Country/Territory | Singapore |
Period | 10/11/21 → 13/11/21 |
Internet address |
Keywords
- Affective robotics
- Human-robot interaction
- Social robotics
- Transparency