Work

Classification of Robot Form: Factors Predicting Perceived Trustworthiness

Year: 2012

Type: article

Abstract: Many factors influence perceived usability of robots, including attributes of the human user, the environment, and the robot itself. Traditionally, the primary focus of research has been on performance-based characteristics of the robot for the purposes of classification, design, and understanding human-robot trust. In this work, we examine the human perceptions of the aesthetic dimensions of a variety of robot domains to gain insight into the impact of physical form on perceived trustworthiness that occurs prior to human-robot interaction. Results show that the physical form does matter when predicting initial trustworthiness of a robot, primarily through the perceived intelligence and classification of the robot.

Source: Proceedings of the Human Factors and Ergonomics Society Annual Meeting

DOI: 10.1177/1071181312561308

Authors: Kristin E. Schaefer, Tracy L. Sanders, Ryan E. Yordon, Deborah R. Billings, P.A. Hancock

Institution: University of Central Florida

Language: English

Topic: Social Robot Interaction and HRI

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W2017802568

FWCI: 3.381

Cites: 31

Cited by: 80

Related to: 10