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The state of the art of diagnostic multiparty eye tracking in synchronous computer-mediated collaboration

Reuscher, Tom Frank 1; Toreini, Peyman 2; Maedche, Alexander 2
1 Institut für Unternehmungsführung (IBU), Karlsruher Institut für Technologie (KIT)
2 Institut für Wirtschaftsinformatik und Marketing (IISM), Karlsruher Institut für Technologie (KIT)

Abstract:

In recent years, innovative multiparty eye tracking setups have been introduced to synchronously capture eye movements of multiple individuals engaged in computer-mediated collaboration. Despite its great potential for studying cognitive processes within groups, the method was primarily used as an interactive tool to enable and evaluate shared gaze visualizations in remote interaction. We conducted a systematic literature review to provide a comprehensive overview of what to consider when using multiparty eye tracking as a diagnostic method in experiments and how to process the collected data to compute and analyze group-level metrics. By synthesizing our findings in an integrative conceptual framework, we identified fundamental requirements for a meaningful implementation. In addition, we derived several implications for future research, as multiparty eye tracking was mainly used to study the correlation between joint attention and task performance in dyadic interaction. We found multidimensional recurrence quantification analysis, a novel method to quantify group-level dynamics in physiological data, to be a promising procedure for addressing some of the highlighted research gaps. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000160458
Veröffentlicht am 12.07.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Unternehmungsführung (IBU)
Institut für Wirtschaftsinformatik und Marketing (IISM)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 1995-8692
KITopen-ID: 1000160458
Erschienen in Journal of Eye Movement Research
Verlag Bern Open Publishing
Band 16
Heft 2
Vorab online veröffentlicht am 19.06.2023
Schlagwörter eye movement, eye tracking, gaze, attention, computer-mediated communication, social interaction, collaboration
Nachgewiesen in Dimensions
Web of Science
Scopus
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