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Eye Tracking in Dri...
Eye Tracking in Driver Attention Research : How Gaze Data Interpretations Influence What We Learn
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- Ahlström, Christer, 1977- (författare)
- Linköpings universitet,Statens väg- och transportforskningsinstitut,Linköping University,Människan i transportsystemet, MTS,Avdelningen för medicinsk teknik,Tekniska fakulteten,Swedish Natl Rd & Transport Res Inst VTI, Linkoping, Sweden
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- Kircher, Katja, 1973- (författare)
- Statens väg- och transportforskningsinstitut,Linköping University,Människan i transportsystemet, MTS,Swedish Natl Rd & Transport Res Inst VTI, Linkoping, Sweden
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- Nyström, Marcus (författare)
- Lund University,Lunds universitet,Humanistlaboratoriet,Fakultetsgemensamma verksamheter,Humanistiska och teologiska fakulteterna,Lund University Humanities Lab,Units,Joint Faculties of Humanities and Theology,Lund University, Sweden,Lund Univ, Sweden
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- Wolfe, Benjamin (författare)
- University of Toronto Mississauga, Canada,Univ Toronto Mississauga, Canada
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(creator_code:org_t)
- 2021-12-08
- 2021
- Engelska.
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Ingår i: Frontiers in Neuroergonomics. - : Frontiers Media SA. - 2673-6195. ; 2:34
- Relaterad länk:
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http://dx.doi.org/10... (free)
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https://doi.org/10.3...
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https://vti.diva-por... (primary) (Raw object)
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Abstract
Ämnesord
Stäng
- Eye tracking (ET) has been used extensively in driver attention research. Amongst other findings, ET data have increased our knowledge about what drivers look at in different traffic environments and how they distribute their glances when interacting with non-driving related tasks. Eye tracking is also the go-to method when determining driver distraction via glance target classification. At the same time, eye trackers are limited in the sense that they can only objectively measure the gaze direction. To learn more about why drivers look where they do, what information they acquire foveally and peripherally, how the road environment and traffic situation affect their behavior, and how their own expertise influences their actions, it is necessary to go beyond counting the targets that the driver foveates. In this perspective paper, we suggest a glance analysis approach that classifies glances based on their purpose. The main idea is to consider not only the intention behind each glance, but to also account for what is relevant in the surrounding scene, regardless of whether the driver has looked there or not. In essence, the old approaches, unaware as they are of the larger context or motivation behind eye movements, have taken us as far as they can. We propose this more integrative approach to gain a better understanding of the complexity of drivers' informational needs and how they satisfy them in the moment.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Människa-datorinteraktion (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Human Computer Interaction (hsv//eng)
- SAMHÄLLSVETENSKAP -- Psykologi -- Tillämpad psykologi (hsv//swe)
- SOCIAL SCIENCES -- Psychology -- Applied Psychology (hsv//eng)
Nyckelord
- eye tracking (ET)
- driving (veh)
- distraction and inattention
- purpose-based analysis
- coding scheme
- context
- relevance
- eye tracking (ET); driving (veh); distraction and inattention; purpose-based analysis; coding scheme; context; relevance
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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