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  Robust Gaze Features for Enabling Language Proficiency Awareness

Karolus, J., Wozniak, P., Chuang, L., & Schmidt, A. (2017). Robust Gaze Features for Enabling Language Proficiency Awareness. In G. Mark, & S. Fussell (Eds.), 2017 CHI Conference on Human Factors in Computing Systems (pp. 2998-3010). New York, NY, USA: ACM Press.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-C3B3-9 Version Permalink: https://hdl.handle.net/21.11116/0000-0000-C3B4-8
Genre: Conference Paper

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 Creators:
Karolus, J, Author
Wozniak, PW, Author
Chuang, LL1, 2, 3, Author           
Schmidt, A, 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: We are often confronted with information interfaces designed in an unfamiliar language, especially in an increasingly globalized world, where the language barrier inhibits interaction with the system. In our work, we explore the design space for building interfaces that can detect the user's language proficiency. Specifically, we look at how a user's gaze properties can be used to detect whether the interface is presented in a language they understand. We report a study (N=21) where participants were presented with questions in multiple languages, whilst being recorded for gaze behavior. We identified fixation and blink durations to be effective indicators of the participants' language proficiencies. Based on these findings, we propose a classification scheme and technical guidelines for enabling language proficiency awareness on information displays using gaze data.

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 Dates: 2017-05
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1145/3025453.3025601
BibTex Citekey: KarolusWCS2017
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Title: 35th Annual ACM Conference on Human Factors in Computing Systems (CHI '17)
Place of Event: Denver, CO, USA
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Title: 2017 CHI Conference on Human Factors in Computing Systems
Source Genre: Proceedings
 Creator(s):
Mark , G., Editor
Fussell, S., Editor
Affiliations:
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Publ. Info: New York, NY, USA : ACM Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 2998 - 3010 Identifier: ISBN: 978-1-4503-4655-9