Human perspective on affective robotic behavior: a longitudinal study

Humans are inherently social creatures, and affect plays no small role in their social nature. We use our emotional expressions to communicate our internal state, our moods assist or hinder our interactions on a daily basis, we constantly form lasting attitudes towards others, and our personalities make us uniquely predisposed to perform certain tasks. In this paper, we present a framework under development that combines these four areas of affect to influence robotic behavior, and describe initial results of a longitudinal human-robot interaction study. The study was designed to inform the development of the framework in order to increase ease and pleasantness of human-robot interaction.

Authors

• Lilia Moshkina
• Ronald C. Arkin

Keywords

• Mood
• Human robot interaction
• Orbital robotics
• Mobile robots
• Laboratories
• Educational institutions
• Animation
• Computational modeling
• Animals
• Anthropomorphism
• Longitudinal Study
• Affective Behavior
• Robot Behavior
• Emotional Expressions
• Social Nature
• Human-robot Interaction
• Interactive
• Usability
• Differences In Performance
• Slight Differences
• Emotional States
• Personality Traits
• Autonomic System
• Five-factor Model
• Negative Mood
• High Level Of Control
• Emotion Perception
• Positive Mood
• Subsequent Reports
• Fast Walking
• Levels Of Extraversion
• Ear Position
• Levels Of Neuroticism
• Post Questionnaire
• Affective Space
• Mood Questionnaire
• Sequence Detection
• computational models of emotion and personality