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EyeLikert: Eye-based Interactions for Answering Surveys

Langner, Moritz ORCID iD icon 1; Aßfalg, Nico 2; Toreini, Peyman 1; Maedche, Alexander 1
1 Institut für Wirtschaftsinformatik und Marketing (IISM), Karlsruher Institut für Technologie (KIT)
2 Karlsruher Institut für Technologie (KIT)


Surveys are a widely used method for data collection from participants. However, responding to surveys is a time consuming task and requires cognitive and physical efforts of the participants. Eye-based interactions offer the advantage of high speed pointing, low physical effort and implicitness. These advantages are already successfully leveraged in different domains, but so far not investigated in supporting participants in responding to surveys. In this paper, we present EyeLikert, a tool that enables users to answer Likert-scale questions in surveys with their eyes. EyeLikert integrates three different eye-based interactions considering the Midas Touch problem. We hypothesize that enabling eye-based interactions to fill out surveys offers the potential to reduce the physical effort, increase the speed of responding questions, and thereby reduce drop-out rates.

DOI: 10.1145/3517031.3529776
Zitationen: 2
Zugehörige Institution(en) am KIT Institut für Wirtschaftsinformatik und Marketing (IISM)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 08.06.2022
Sprache Englisch
Identifikator ISBN: 978-1-4503-9252-5
KITopen-ID: 1000148102
Erschienen in 2022 Symposium on Eye Tracking Research and Applications. Ed.: F. Shic
Veranstaltung ACM Symposium on Eye Tracking Research and Applications (ETRA 2022), Seattle, WA, USA, 08.06.2022 – 11.06.2022
Verlag Association for Computing Machinery (ACM)
Seiten Article no: 16
Nachgewiesen in Scopus
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