Collecting Social Signals in Constructive and Destructive Events during Human-robot Collaborative Tasks
| Autor: | Rodrigo Ventura, Alexandre Bernardino, André B. Gonçalves, Leonel Garcia-Marques, João Avelino |
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| Rok vydání: | 2020 |
| Předmět: |
Social robot
media_common.quotation_subject 020207 software engineering 02 engineering and technology Outcome (game theory) Constructive Human–robot interaction Laughter Work (electrical) Human–computer interaction Dyadic interaction 0202 electrical engineering electronic engineering information engineering Robot 020201 artificial intelligence & image processing Psychology media_common |
| Zdroj: | HRI (Companion) |
| DOI: | 10.1145/3371382.3378259 |
| Popis: | Adapting behaviors based on others' reactions is a fundamental skill for a social robot that must interact with people. In this work, we to develop a systematic method to collect ecologically plausible data of human reactions to robot behaviors and associated valence. We designed a dyadic interaction were 24 participants played a board game in a human-robot team for a chance to win a chocolate. The ''Grumpy robot'' is responsible for losing an easy-to-win game, while the ''Kind robot'' for winning a seemingly impossible-to-win game. Questionnaires show that participants recognize both robots' critical impact on the game's outcome, but show similar social attraction towards both. Videos' reactions are distinct: smiles and neutral faces to the ''Kind robot'', and laughter, confusion, or shock to the ''Grumpy robot''. Collected data will be used to teach the robot to understand human reactions. |
| Databáze: | OpenAIRE |
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