Drawing parallels in human-other interactions: a trans-disciplinary approach to developing human-robot interaction...

Area of Science:

• Robotics
• Human-Robot Interaction (HRI)
• Social Cognition
• Trans-disciplinary Research

Background:

• Current human-robot interaction (HRI) methodologies can be improved by integrating knowledge from fields studying human-other interactions.
• Existing HRI research often focuses on usability rather than the underlying mechanisms of interaction.
• A trans-disciplinary approach is proposed to enrich HRI methodology development.

Purpose of the Study:

• To present a framework for developing robust HRI methodologies by drawing parallels with human-human, human-animal, and human-object interaction.
• To demonstrate how this framework can help define mechanisms of effect in specific HRI scenarios.
• To explore the utility of objective psychological measures for understanding HRI and social cognition.

Main Methods:

• A framework is proposed that parallels HRI with other human interaction domains, considering robot morphology and use.
• Novel empirical work is presented as a proof of concept, using insights from animal-assisted therapy and attachment theory.
• Behavioral observations, including touch patterns, were used to assess user impact during interaction with an animal-like robot.

Main Results:

• The framework facilitates the definition of specific mechanisms of effect within HRI.
• Objective psychological measures of social cognition can deepen the understanding of HRI.
• Trans-disciplinary methodologies enable a shift from usability questions to mechanistic inquiries in HRI.

Conclusions:

• Robust HRI methodologies can be developed by integrating insights from diverse fields studying human-other interactions.
• Experimental HRI, using trans-disciplinary approaches, can serve as a valuable tool for studying human social cognition.
• This approach moves HRI research towards understanding the 'how' and 'why' of effective interaction, rather than just 'if' it is effective.