Chien, Shih-Yi
(2017)
THE INFLUENCE OF CULTURAL FACTORS ON TRUST IN AUTOMATION.
Doctoral Dissertation, University of Pittsburgh.
(Unpublished)
Abstract
Human interaction with automation is a complex process that requires both skilled operators and complex system designs to effectively enhance overall performance. Although automation has successfully managed complex systems throughout the world for over half a century, inappropriate reliance on automation can still occur, such as the recent malfunction in Tesla autopilot mechanisms that resulted in a fatality. Research has shown that trust, as an intervening variable, is critical to the development of appropriate reliance on automated systems. Because automation inevitably involves uncertainty, trust in automation is related to a calibration between a user’s expectations and the capabilities of automation. Prior studies suggest that trust is dynamic and influenced by both endogenous (e.g., cultural diversity) and exogenous (e.g., system reliability) variables. To determine how cultural factors affect various aspects of trust in and reliance on automation, the present research has developed a cross-cultural trust questionnaire and an air traffic control simulator that incorporates a variety of scenarios identified from a review of relevant literature. The measures and tasks have been validated by a crowdsourcing system (Amazon Mechanical Turk), as well as through experimental studies conducted in the U.S., Turkey, and Taiwan, with approximately 1000 participants. The results indicate that the developed trust instrument can effectively measure human trust in automation across cultures. The findings reveal substantial cultural differences in human trust in automation, which have a significant impact on the design, implementation, and evaluation of automated systems to make them more trustworthy in determining the appropriate trust calibration for optimized reliance across cultures.
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Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
|
| ETD Committee: |
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| Date: |
15 June 2017 |
| Date Type: |
Publication |
| Defense Date: |
15 December 2016 |
| Approval Date: |
15 June 2017 |
| Submission Date: |
12 June 2017 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Number of Pages: |
183 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
School of Information Sciences > Information Science |
| Degree: |
PhD - Doctor of Philosophy |
| Thesis Type: |
Doctoral Dissertation |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
Human Factors; Experimentation; Cross-cultural research; Trust in automation; Scale development; Human automation interaction; Empirical study; Imperfect automation; Workload; System reliability |
| Date Deposited: |
15 Jun 2017 20:03 |
| Last Modified: |
15 Jun 2017 20:03 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/32432 |
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