Directing attention through gaze hints improves task solving in human–humanoid interaction
| Autor: | Eunice Mwangi, Matthias Rauterberg, Marta Díaz-Boladeras, Andreu Català Mallofré, Emilia I. Barakova |
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| Přispěvatelé: | Future Everyday |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Matching (statistics) General Computer Science Social Psychology Control (management) Game-based human–robot interaction 02 engineering and technology Gaze perception Article Task (project management) 020901 industrial engineering & automation InformationSystems_MODELSANDPRINCIPLES Human–computer interaction 0501 psychology and cognitive sciences Electrical and Electronic Engineering TUTOR 050107 human factors computer.programming_language business.industry 05 social sciences Embodied cues Robotics Gaze-based interactions Object (philosophy) Gaze Human-Computer Interaction Philosophy Control and Systems Engineering Robot Attentional cues Artificial intelligence Psychology business computer Directed attention Facial orientation |
| Zdroj: | International Journal of Social Robotics International Journal of Social Robotics, 10(3), 343-355. Springer |
| ISSN: | 1875-4791 |
| Popis: | In this paper, we report an experimental study designed to examine how participants perceive and interpret social hints from gaze exhibited by either a robot or a human tutor when carrying out a matching task. The underlying notion is that knowing where an agent is looking at provides cues that can direct attention to an object of interest during the activity. In this regard, we asked human participants to play a card matching game in the presence of either a human or a robotic tutor under two conditions. In one case, the tutor gave hints to help the participant find the matching cards by gazing toward the correct match, in the other case, the tutor only looked at the participants and did not give them any help. The performance was measured based on the time and the number of tries taken to complete the game. Results show that gaze hints (helping tutor) made the matching task significantly easier (fewer tries) with the robot tutor. Furthermore, we found out that the robots’ gaze hints were recognized significantly more often than the human tutor gaze hints, and consequently, the participants performed significantly better with the robot tutor. The reported study provides new findings towards the use of non-verbal gaze hints in human–robot interaction, and lays out new design implications, especially for robot-based educative interventions. |
| Databáze: | OpenAIRE |
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