Relationships between physiological signals and stress levels in the case of automated technology failure

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Bibliografiset tiedot
Julkaisussa:Human-Intelligent Systems Integration vol. 1, no. 1 (Mar 2019), p. 43
Päätekijä: Branstrom, Celeste
Muut tekijät: Jeong, Heejin, Park, Jaehyun, Lee, Byung-Cheol, Park, Jangwoon
Julkaistu:
Springer Nature B.V.
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100 1 |a Branstrom, Celeste  |u Texas A&M University, Department of Biological & Agricultural Engineering, College Station, USA (GRID:grid.264756.4) (ISNI:0000 0004 4687 2082) 
245 1 |a Relationships between physiological signals and stress levels in the case of automated technology failure 
260 |b Springer Nature B.V.  |c Mar 2019 
513 |a Journal Article 
520 3 |a 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. 
651 4 |a United States--US 
653 |a Physiology 
653 |a Readability 
653 |a Physiological responses 
653 |a Anxiety 
653 |a Stress 
653 |a Automation 
653 |a Experiments 
653 |a Questionnaires 
653 |a Proofreading 
653 |a Editing 
653 |a Trust 
653 |a Workloads 
653 |a Heart rate 
700 1 |a Jeong, Heejin  |u University of Michigan, Department of Industrial and Operations Engineering, Ann Arbor, USA (GRID:grid.214458.e) (ISNI:0000000086837370) 
700 1 |a Park, Jaehyun  |u Incheon National University, Department of Industrial and Management Engineering, Incheon, South Korea (GRID:grid.412977.e) (ISNI:0000 0004 0532 7395) 
700 1 |a Lee, Byung-Cheol  |u Texas A&M University – Corpus Christi, Department of Engineering, Corpus Christi, USA (GRID:grid.264759.b) (ISNI:0000 0000 9880 7531) 
700 1 |a Park, Jangwoon  |u Texas A&M University – Corpus Christi, Department of Engineering, Corpus Christi, USA (GRID:grid.264759.b) (ISNI:0000 0000 9880 7531) 
773 0 |t Human-Intelligent Systems Integration  |g vol. 1, no. 1 (Mar 2019), p. 43 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
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