Context-Based Human Influence and Causal Responsibility for Assisted Decision-Making Article Swipe
Yossef Saad
,
Joachim Meyer
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1177/00187208251317470
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1177/00187208251317470
Objective The impact of the context in which automation is introduced to a decision-making system was analyzed theoretically and empirically. Background Previous work dealt with causality and responsibility in human-automation systems without considering the effects of how the automation’s role is presented to users. Methods An existing analytical model for predicting the human contribution to outcomes was adapted to accommodate the context of automation. An aided signal detection experiment with 400 participants was conducted to assess the correspondence of observed behavior to model predictions. Results The context in which the automation’s role is presented affected users’ tendency to follow its advice. When automation made decisions, and users only supervised it, they tended to contribute less to the outcome than in systems where the automation had an advisory capacity. The adapted theoretical model for human contribution was generally aligned with participants’ behavior. Conclusion The specific way automation is integrated into a system affects its use and the perceptions of user involvement, possibly altering overall system performance. Application The research can help design systems with automation-assisted decision-making and provide information on regulatory requirements and operational processes for such systems.
Related Topics
Concepts
Automation
Context (archaeology)
Computer science
Risk analysis (engineering)
Causality (physics)
Process automation system
Outcome (game theory)
Knowledge management
Human–computer interaction
Engineering
Business
Mathematics
Physics
Paleontology
Mechanical engineering
Mathematical economics
Quantum mechanics
Biology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1177/00187208251317470
- OA Status
- green
- Cited By
- 1
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4407095837
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4407095837Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1177/00187208251317470Digital Object Identifier
- Title
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Context-Based Human Influence and Causal Responsibility for Assisted Decision-MakingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-02-03Full publication date if available
- Authors
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Yossef Saad, Joachim MeyerList of authors in order
- Landing page
-
https://doi.org/10.1177/00187208251317470Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.ncbi.nlm.nih.gov/pmc/articles/12231881Direct OA link when available
- Concepts
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Automation, Context (archaeology), Computer science, Risk analysis (engineering), Causality (physics), Process automation system, Outcome (game theory), Knowledge management, Human–computer interaction, Engineering, Business, Mathematics, Physics, Paleontology, Mechanical engineering, Mathematical economics, Quantum mechanics, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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48Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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