Implement human-robot interaction via robot's emotion model

Shih, Wen-Feng; Naruse, Keitaro; Wu, Shih-Hung

doi:10.1109/icawst.2017.8256522

Cited by 9 publications

(1 citation statement)

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“…This category was binary, with the system either having history or not. A basic form of history involved a system that moves in a certain direction based on the input, such as moving in incremental steps between their past emotion and a human's current emotion [32]. In publications that featured longer history the term mood was often used, with combined emotion and mood models occurring very frequently [33], [34].…”

Section: Step 3: Emotional Codingmentioning

confidence: 99%

A Survey of Robotics and Emotion: Classifications and Models of Emotional Interaction

Savery¹,

Weinberg²

2020

Preprint

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As emotion plays a growing role in robotic research it is crucial to develop methods to analyze and compare among the wide range of approaches. To this end we present a survey of 1427 IEEE and ACM publications that include robotics and emotion. This includes broad categorizations of trends in emotion input analysis, robot emotional expression, studies of emotional interaction and models for internal processing. We then focus on 232 papers that present internal processing of emotion, such as using a humans emotion for better interaction or turning environmental stimuli into an emotional drive for robotic path planning. We conducted constant comparison analysis of the 232 papers and arrived at three broad categorization metrics -emotional intelligence, emotional model and implementation -each including two or three subcategories. The subcategories address the algorithm used, emotional mapping, history, the emotional model, emotional categories, the role of emotion, the purpose of emotion and the platform. Our results show a diverse field of study, largely divided by the role of emotion in the system, either for improved interaction, or improved robotic performance. We also present multiple future opportunities for research and describe intrinsic challenges common in all publications.

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Section: Step 3: Emotional Codingmentioning

confidence: 99%