Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Influence of Culture, Transparency, Trust, and Degree of Automation on Automation Use

Chien, Shih-Yi and Lewis, Michael and Sycara, Katia and Liu, Jyi-Shane and Kumru, Asiye (2019) Influence of Culture, Transparency, Trust, and Degree of Automation on Automation Use. IEEE Transactions on Human Machine Systems. (Submitted)

[img]
Preview
PDF
Download (567kB) | Preview

Abstract

The reported study compares groups of 120 participants each, from the United States, Taiwan, and Turkey interacting with versions of an automated path planner that vary in transparency and degree of automation. The nationalities were selected in accordance with the theory of Cultural Syndromes as representatives of Dignity (US), Face (Taiwan), and Honor (Turkey) cultures and were predicted to differ in readiness to trust automation, degree of transparency required to use automation, and willingness to use systems with high degrees of automation. Three experimental conditions were tested. In the first, highlight, path conflicts were highlighted leaving rerouting to the participant. In the second, re-planner made requests for permission to reroute when a path conflict was detected. The third combined condition increased transparency of the re-planner by combining highlighting with rerouting to make the conflict on which decision was based visible to the user. A novel framework relating transparency, stages of automation, and trust in automation is proposed in which transparency plays a primary
role in decisions to use automation but is supplemented by trust where there is insufficient information otherwise. Hypothesized cultural effects and framework predictions were confirmed


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Article
Status: Submitted
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Chien, Shih-Yi
Lewis, Michaelml@sis.pitt.educmlewis0000-0002-1013-9482
Sycara, Katia
Liu, Jyi-Shane
Kumru, Asiye
Date: 2019
Date Type: Submission
Journal or Publication Title: IEEE Transactions on Human Machine Systems
Publisher: IEEE
Schools and Programs: School of Computing and Information > Information Science
Refereed: Yes
Article Type: Research Article
Date Deposited: 31 May 2019 16:08
Last Modified: 31 May 2019 16:08
URI: http://d-scholarship.pitt.edu/id/eprint/36823

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item