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Abstract

Although successful automation can bring abundance to people’s lives, the prolonged use of unreliable automation causes negative impacts on users. This study aims to examine how prolonged use of an unreliable auto-proofreading system affects users’ trust levels and physiological responses. Nineteen native English speakers participated in tasks that correct grammatical errors in each of the 20 sentences in reliable and unreliable proofreading conditions. During the tasks, the participants’ electrodermal activities (EDA) were recorded and their perceived trust in the proofreading system was evaluated. As the unreliable auto-proofreading system worked improperly, perceived trust decreased gradually, and a noticeably increasing pattern of EDA signals was observed. In contrast, perceived trust increased gradually, and a stable or a decreasing pattern of EDA signals were observed in the reliable auto-proofreading system. Prolonged use of an unreliable system results in aggravating anxiety, causing an increase in distrust and EDA signals. The findings of this study provide empirical data that can be used for designing a fail-safe feature of automation by minimizing a user’s anxiety level.

Details

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Title
Relationships between physiological signals and stress levels in the case of automated technology failure
Author
Branstrom, Celeste 1 ; Jeong, Heejin 2 ; Park, Jaehyun 3 ; Lee, Byung-Cheol 4 ; Park, Jangwoon 4   VIAFID ORCID Logo 

 Texas A&M University, Department of Biological & Agricultural Engineering, College Station, USA (GRID:grid.264756.4) (ISNI:0000 0004 4687 2082) 
 University of Michigan, Department of Industrial and Operations Engineering, Ann Arbor, USA (GRID:grid.214458.e) (ISNI:0000000086837370) 
 Incheon National University, Department of Industrial and Management Engineering, Incheon, South Korea (GRID:grid.412977.e) (ISNI:0000 0004 0532 7395) 
 Texas A&M University – Corpus Christi, Department of Engineering, Corpus Christi, USA (GRID:grid.264759.b) (ISNI:0000 0000 9880 7531) 
Publication title
Volume
1
Issue
1
Pages
43-51
Publication year
2019
Publication date
Mar 2019
Publisher
Springer Nature B.V.
Place of publication
Orange County
Country of publication
Netherlands
ISSN
25244876
e-ISSN
25244884
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2019-04-16
Milestone dates
2019-03-11 (Registration); 2018-08-14 (Received); 2019-03-11 (Accepted)
Publication history
 
 
   First posting date
16 Apr 2019
ProQuest document ID
2932978496
Document URL
https://www.proquest.com/scholarly-journals/relationships-between-physiological-signals/docview/2932978496/se-2?accountid=208611
Copyright
© Springer Nature Switzerland AG 2019.
Last updated
2024-08-27
Database
ProQuest One Academic