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  Attentional Biases during Steering Behavior

Bieg, H.-J., Bülthoff, H., & Chuang, L. (2013). Attentional Biases during Steering Behavior. In V. Duffy (Ed.), Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management: Healthcare and Safety of the Environment and Transport (pp. 21-27). Berlin, Germany: Springer.

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 Creators:
Bieg, H-J1, 2, Author           
Bülthoff, HH1, 2, Author           
Chuang, LL1, 2, Author           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: In the current study, we examine eye movements of human operators during a combined steering and discrimination task. In this task, observers had to alternate their gaze between a central steering task and a discrimination task in the periphery. Our results show that the observer’s gaze behavior is influenced by the motion direction of the steering task. Saccade reaction times (SRTs) of saccades to the discrimination target were shorter if the target appeared in the steering direction. SRTs back to the steering task were shorter when the steering target moved away from the discrimination target. These effects are likely the result of motion-related attention shifts and an interaction of the saccadic and smooth pursuit eye movement system.

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 Dates: 2013-07
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-642-39173-6_3
BibTex Citekey: BiegBC2013
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Title: 4th International Conference DHM 2013, Held as Part of HCI International 2013
Place of Event: Las Vegas, NV, USA
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Title: Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management: Healthcare and Safety of the Environment and Transport
Source Genre: Proceedings
 Creator(s):
Duffy, VG, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 21 - 27 Identifier: ISBN: 978-3-642-39172-9

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 8025 Sequence Number: - Start / End Page: 21 - 27 Identifier: -