Effects of Uncertainty and Cognitive Load on User Trust in Predictive Decision Making
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This leads to 'cognitive load' (Zhou et al. 2017), which affects work memory and, thus, delimits cognitive resources, further increasing the level of distrust and misreading of uncertainties.
“This leads to ‘cognitive load’ (Zhou et al. 2017), which affects work memory and, thus, delimits cognitive resources, further increasing the level of distrust and misreading of uncertainties.”
From Chatbot breakthrough in the 2020s? An ethical reflection on the trend of automated consultations in health care (2022) · cites this paper as Zhou et al. 2017
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- Authors
- Zhou, J., Arshad, S. Z., Luo, S., & Chen, F.
- Affiliations
- Commonwealth Scientific and Industrial Research Organisation (AU)
- Corresponding author
- Zhou, Jianlong
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2017
- Volume
- LNCS-10516
- Issue
- Part IV
- Pages
- 23-39
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2754613478
- Cited by
- 59
- References
- 38
- Citations by year
- 2026: 10 · 2025: 11 · 2024: 5 · 2023: 5 · 2022: 9 · 2021: 10 · 2020: 5 · 2019: 2 · 2018: 1 · 2017: 1
- FWCI
- 3.99
- Type
- conference paper
- Language
- en
- Open access
- green
- inria.hal.science
- Locations
- Lecture notes in computer science (publishedVersion)
- HAL (submittedVersion, cc-by)
- Topics
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Keywords
- user trust, predictive decision-making, uncertainty, cognitive load, risk and ambiguity, human-machine interaction, user interface design, mental workload
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