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  Towards Using Gaze Properties to Detect Language Proficiency

Karolus, J., Woźniak, P., & Chuang, L. (2016). Towards Using Gaze Properties to Detect Language Proficiency. In S. Björk, & E. Eriksson (Eds.), 9th Nordic Conference on Human-Computer Interaction (NordiCHI '16) (pp. 118). New York, NY, USA: ACM Press.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-7A6C-F Version Permalink: https://hdl.handle.net/21.11116/0000-0000-7A6D-E
Genre: Conference Paper

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 Creators:
Karolus, J, Author
Woźniak, PW, Author
Chuang, LL1, 2, 3, Author           
Affiliations:
1Project group: Cognition & Control in Human-Machine Systems, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528703              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Abstract: Humans are inherently skilled at using subtle physiological cues from other persons, for example gaze direction in a conversation. Personal computers have yet to explore this implicit input modality. In a study with 14 participants, we investigate how a user's gaze can be leveraged in adaptive computer systems. In particular, we examine the impact of different languages on eye movements by presenting simple questions in multiple languages to our participants. We found that fixation duration is sufficient to ascertain if a user is highly proficient in a given language. We propose how these findings could be used to implement adaptive visualizations that react implicitly on the user's gaze.

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 Dates: 2016-10
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1145/2971485.2996753
BibTex Citekey: KarolusWC2016
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Title: 9th Nordic Conference on Human-Computer Interaction (NordiCHI '16)
Place of Event: Göteborg, Sweden
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Title: 9th Nordic Conference on Human-Computer Interaction (NordiCHI '16)
Source Genre: Proceedings
 Creator(s):
Björk , S., Editor
Eriksson, E., Editor
Affiliations:
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Publ. Info: New York, NY, USA : ACM Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 118 Identifier: ISBN: 978-1-4503-4763-1