Abstract

This work on trust in human-robot interaction describes a series of three experiments from which a series of predictive models are developed. Previous work in trust and robotics has examined HRI components related to robots extensively, but there has been little research to quantify the influence of individual differences in trust on HRI. The present work seeks to fill that void by measuring individual differences across a variety of conditions, including differences in robot characteristics and environments. The models produced indicate that the main individual factors predicting trust in robotics include pre-existing attitudes towards robots, interpersonal trust, and personality traits.

Graduation Date

2016

Semester

Fall

Advisor

Hancock, Peter

Degree

Doctor of Philosophy (Ph.D.)

College

College of Sciences

Department

Psychology

Degree Program

Psychology; Human Factors Cognitive Psychology

Format

application/pdf

Identifier

CFE0006843

URL

http://purl.fcla.edu/fcla/etd/CFE0006843

Language

English

Release Date

June 2022

Length of Campus-only Access

5 years

Access Status

Doctoral Dissertation (Campus-only Access)

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