The Application of Human Mental Models for Engineering to Improve Acceptance and Performance of Driving Automation Article Swipe
Peter Moertl
,
Peter Wimmer
,
Martin Rudigier
,
Werner Rom
,
Daniel Watzenig
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.1483719
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.1483719
The vision of advanced information technologies to provide intelligent driving assistance and automation is currently being reconciled with humans operating these technologies in complex, real-time environments where sometimes unpredicted situations need to be mastered under time pressure. Could automation technologies be designed such that humans can collaborate with them more quickly and effectively to solve the Unpredicted? We investigate the utility of computational Human Mental Models for Engineering (HMMEs) toward developing automation systems that are more similar to human behavior. We validate and compare an HMME with a control model for a basic steering task and compare them both with driving data from 16 human drivers in a driving simulator. We report on the observed characteristics of the HMME to support multi-tasking, graceful degradation, and multi-sensory driver state integration.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5281/zenodo.1483719
- OA Status
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- Cited By
- 1
- OpenAlex ID
- https://openalex.org/W3215073777
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3215073777Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.1483719Digital Object Identifier
- Title
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The Application of Human Mental Models for Engineering to Improve Acceptance and Performance of Driving AutomationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
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2018Year of publication
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2018-04-16Full publication date if available
- Authors
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Peter Moertl, Peter Wimmer, Martin Rudigier, Werner Rom, Daniel WatzenigList of authors in order
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https://doi.org/10.5281/zenodo.1483719Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://doi.org/10.5281/zenodo.1483719Direct OA link when available
- Concepts
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Automation, Mental model, Computer science, Engineering, Systems engineering, Risk analysis (engineering), Process management, Human–computer interaction, Manufacturing engineering, Psychology, Engineering management, Engineering ethics, Business, Mechanical engineering, Cognitive scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2020: 1Per-year citation counts (last 5 years)
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