The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Display Signaling in Augmented Reality: Effects of Cue Reliability and Image Realism on Attention Allocation and Trust Calibration
Abstract
This experiment seeks to examine the relationships among three advanced technology features (presentation of target cuing, reliability of target cuing, and level of image reality and the attention and trust given to that information). The participants were 16 military personnel who piloted an unmanned air vehicle and searched for targets camouflaged in terrain, which was presented at two levels of image realism. Cuing was available for some targets, and the reliability of this information was manipulated at two levels (100% and 75%). The results showed that the presence of cuing aided target detection for expected targets but drew attention away from the presence of unexpected targets. Cuing benefits and attentional tunneling were both reduced when cuing became less reliable. Increasing image realism was compelling but increased reliance on the cuing information when those data were reliable. Potential applications include a cost-benefit analysis of how trust modulates attention in the use of automated target recognition systems and the extent to which increased realism may influence this trust.
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“Yang and colleagues [139] found that likelihood alarms took more time to adjust trust calibration than binary warning signals.”
From Measuring and Understanding Trust Calibrations for Automated Systems: A Survey of the State-Of-The-Art and Future Directions (2023) · cites this paper as [139]
In the citing paper
“Yet, uncertainty cues also increased workload in some cases [70] but not in others [92] and led to instances of over-trust when the cues were not reliable [140].”
From Measuring and Understanding Trust Calibrations for Automated Systems: A Survey of the State-Of-The-Art and Future Directions (2023) · cites this paper as [140]
In the citing paper
“To assess trust, one paper found that trust is best refected at each moment in the interaction rather than at the end of the interaction [139].”
From Measuring and Understanding Trust Calibrations for Automated Systems: A Survey of the State-Of-The-Art and Future Directions (2023) · cites this paper as [139]
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Metadata
- Authors
- Yeh, M., & Wickens, C. D.
- Affiliations
- Mitre (United States) (US)
- University of Illinois Urbana-Champaign (US)
- Venue
- Human Factors: The Journal of the Human Factors and Ergonomics Society
- Publisher
- SAGE Publications
- Published
- 2001-09
- Volume
- 43
- Issue
- 3
- Pages
- 355-365
- ISSN
- 0018-7208 (ISSN-L)
- 1547-8181
- OpenAlex
- W2129001561
- Cited by
- 175
- References
- 21
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 12 · 2023: 9 · 2022: 11 · 2021: 9 · 2020: 7 · 2019: 6 · 2018: 8 · 2017: 11 · 2016: 5 · 2015: 9 · 2014: 4 · 2013: 5 · 2012: 11
- FWCI
- 4.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Human Factors The Journal of the Human Factors and Ergonomics Society (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Army Research Laboratory (DAAL01-96-2-0003)
- Topics
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Keywords
- augmented reality, cue reliability, photorealism, attention allocation, trust calibration, attentional tunneling, automatic target recognition, target detection, military personnel
- MeSH terms
- Adult, Analysis of Variance, Attention, Computer Graphics, Cues, Data Display, Female, Humans, Male, Military Personnel, Reaction Time, Sensitivity and Specificity, Task Performance and Analysis, User-Computer Interface, Visual Perception, Reproducibility of Results
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