Selective Access to Decision Support as a Function of Event Uncertainty Article Swipe
Yoav Ben Yaakov
,
Jason S. McCarley
,
Joachim Meyer
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1177/00187208241277158
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1177/00187208241277158
Objective We investigate the impact of event uncertainty, decision support (DS) display format, and DS sensitivity on participants’ behavior, performance, subjective workload, and perception of DS usefulness and performance in a classification task. Background DS systems can positively and negatively affect decision accuracy, performance time, and workload. The ability to access DS selectively, based on informational needs, might improve DS effectiveness. Method Participants performed a sensory classification task in which they were allowed to request DS on a trial-by-trial basis. DS was presented in separated-binary (SB), separated-likelihood (SL), or integrated-likelihood (IL) formats. Access preferences, task performance, performance time, subjective workload, and perceived DS usefulness and performance were recorded. Results Participants accessed DS more often when it was highly sensitive, stimulus information was highly uncertain, or the DS cue and stimulus information were perceptually integrated. Effective sensitivity was highest with the integrated likelihood DS. Although the separated likelihood DS provided more information than the binary likelihood DS, it was accessed less often, leading to lower sensitivity. Conclusion Participants are most likely to access DS when raw stimulus information is highly uncertain and appear to make effective use of likelihood DS only when DS cues are integrated with raw stimulus information within a display. Application Results suggest that DS use will be most effective when likelihood DS cues and raw stimulus information are perceptually integrated. When DS cues and raw stimuli cannot be perceptually integrated, binary cues from the DS will be more effective than likelihood cues.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1177/00187208241277158
- https://journals.sagepub.com/doi/pdf/10.1177/00187208241277158
- OA Status
- hybrid
- Cited By
- 1
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4402183046
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4402183046Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1177/00187208241277158Digital Object Identifier
- Title
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Selective Access to Decision Support as a Function of Event UncertaintyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
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2024-09-03Full publication date if available
- Authors
-
Yoav Ben Yaakov, Jason S. McCarley, Joachim MeyerList of authors in order
- Landing page
-
https://doi.org/10.1177/00187208241277158Publisher landing page
- PDF URL
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https://journals.sagepub.com/doi/pdf/10.1177/00187208241277158Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://journals.sagepub.com/doi/pdf/10.1177/00187208241277158Direct OA link when available
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Stimulus (psychology), Workload, Perception, Computer science, Psychology, Cognitive psychology, Neuroscience, Operating systemTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
- References (count)
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30Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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