Measuring the perceived social intelligence of robots

Kimberly A. Barchard, Leiszle Lapping-Carr, R. Shane Westfall, Andrea Fink-Armold, Santosh Balajee Banisetty, David Feil-Seifer

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Robotic social intelligence is increasingly important. However, measures of human social intelligence omit basic skills, and robot-specific scales do not focus on social intelligence. We combined human robot interaction concepts of beliefs, desires, and intentions with psychology concepts of behaviors, cognitions, and emotions to create 20 Perceived Social Intelligence (PSI) Scales to comprehensively measure perceptions of robots with a wide range of embodiments and behaviors. Participants rated humanoid and non-humanoid robots interacting with people in five videos. Each scale had one factor and high internal consistency, indicating each measures a coherent construct. Scales capturing perceived social information processing skills (appearing to recognize, adapt to, and predict behaviors, cognitions, and emotions) and scales capturing perceived skills for identifying people (appearing to identify humans, individuals, and groups) correlated strongly with social competence and constituted the Mind and Behavior factors. Social presentation scales (appearing friendly, caring, helpful, trustworthy, and not rude, conceited, or hostile) relate more to Social Response to Robots Scales and Godspeed Indices, form a separate factor, and predict positive feelings about robots and wanting social interaction with them. For a comprehensive measure, researchers can use all PSI 20 scales for free. Alternatively, they can select the most relevant scales for their projects.

Original languageEnglish (US)
Article number24
JournalACM Transactions on Human-Robot Interaction
Volume9
Issue number4
DOIs
StatePublished - Oct 2020

Keywords

  • Social intelligence
  • human-computer interaction
  • human-robot interaction
  • socially assistive robotics

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'Measuring the perceived social intelligence of robots'. Together they form a unique fingerprint.

Cite this