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Studying Dynamics of Human Information Gathering Behaviors Using Social Robots
Matan Eshed1,2, Matan Epstein2, Ada H Zohar1
1Ruppin Academic Center, Hadera, Israel.
Frontiers in Psychology
|June 18, 2021
Summary
Understanding social interactions: Psychological inflexibility initially drives information gathering, followed by curiosity towards the end of novel social interactions with robots. This research explores human-robot social dynamics.
Area of Science:
- Social Psychology
- Human-Robot Interaction
- Behavioral Science
Background:
- Novel social interactions involve dynamic adaptation and information gathering about social context.
- Understanding the psychological drivers of behavior in these novel situations is crucial.
Purpose of the Study:
- To investigate the psychological determinants of social information-gathering behavior in novel human-robot interactions.
- To explore how individual psychological traits influence engagement in new social settings.
Main Methods:
- Participants engaged in non-verbal interactions with three social robots programmed with a "relationship matrix".
- Participant gaze was tracked to measure social information-gathering behaviors using Bayesian inference models.
Main Results:
- Information-gathering behavior was initially predicted by psychological inflexibility.
- Towards the end of the interaction, curiosity became the primary predictor of information-gathering behavior.
- This indicates a shift in behavioral drivers during novel social engagement.
Conclusions:
- Social robots are valuable tools for studying complex social behaviors in controlled environments.
- Psychological inflexibility and curiosity play distinct, time-dependent roles in shaping behavior during novel social interactions.
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