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Emotional Drone

Emotion Appropriateness in Human-Drone Interaction

Journal

Springer International Journal of Social Robotics

Authors

Viviane Herdel

Jessica R. Cauchard

Magic Lab, Department of Industrial Engineering and Management, Ben Gurion University of the Negev

Be'er Sheva, Israel

Abstract

As robotic agents become increasingly pervasive in our lives, recent works have shown promising results on the use of emotions on social drones.
However, further research is needed to determine the appropriateness of these emotions in various contexts. We here investigate the appropriateness of seven drone emotional states. In a series of six workshops (N=30) consisting of both individual and group activities, we studied emotion appropriateness for six drone metaphors across the two most popular and radically different domains for Human-Drone Interaction namely: Emergency and Entertainment.
Within diverse situations of interactions, participants were able to identify the appropriateness of each emotion. Our results describe how each emotion was found both appropriate and inappropriate depending on context. We provide insights into unique opportunities generated by the perceived emotion appropriateness, depending on different roles of drone emotions in interactions with people. We conclude with design considerations for future social robotic agents, including the importance of using a broad range of emotions, the use of a neutral expression, the temporality of emotions, and novel applications to interaction design. This work contributes to the understanding of the inner workings of emotion appropriateness in drones, providing researchers with a starting point for future work on social flying robots.

Methodology

To explore these research questions, we opted for an exploratory approach. We ran one workshop for each drone metaphor, resulting in a series of six workshops (N=30), which included both individual and group activities (e.g., mind mapping, focus groups).

Key Results

We showed that within diverse situations of interactions, people were able to identify the appropriateness of each emotion. Further, we describe that -- depending on the given context -- each emotion had times where it was appropriate, and times where it was inappropriate. Emotion appropriateness seems more influenced by drone applications than by the domain in which it is being used. The results of our focus group further highlight the wide variety of roles for emotions in HDI. 

For additional findings, we invite you to read the full paper.

Contribution in a nutshell: 

  • The perceived emotion appropriateness of seven drone emotional states.

  • The definition of emotion appropriateness profiles for six drone metaphors.

  • The identification of 5 research challenges for the HDI community

Got curious?

Publication coming soon.

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