Title

Classification Of Robot Form: Factors Predicting Perceived Trustworthiness

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. Copyright 2012 by Human Factors and Ergonomics Society, Inc. All rights reserved.

Publication Date

12-1-2012

Publication Title

Proceedings of the Human Factors and Ergonomics Society

Number of Pages

1548-1552

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1177/1071181312561308

Socpus ID

84873428656 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84873428656

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