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Towards Intelligent Interfaces for Mixed-Focus Collaboration

  • Large, high-resolution displays are highly suitable for creation of digital environments for co-located collaborative task solving. Yet, placing multiple users in a shared environment may increase the risk of interferences, thus causing mental discomfort and decreasing efficiency of the team. To mitigate interferences coordination strategies and techniques were introduced. However, in a mixed-focus collaboration scenarios users switch now and again between loosely and tightly collaboration, therefore different coordination techniques might be required depending on the current collaboration state of team members. For that, systems have to be able to recognize collaboration states as well as transitions between them to ensure a proper adjustment of the coordination strategy. Previous studies on group behavior during collaboration in front of large displays investigated solely collaborative coupling states, not transitions between them though. To address this gap, we conducted a study with 12 participant dyads in front of a tiled display and let them solve two tasks in two different conditions (focus and overview). We looked into group dynamics and categorized transitions by means of changes in proximity, verbal communication, visual attention, visual interface, and gestures. The findings can be valuable for user interface design and development of group behavior models.

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Metadaten
Document Type:Conference Object
Language:English
Parent Title (English):Mitrovic, Zhang et al. (Eds.): Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization (UMAP '18). Singapore, Singapore, July 08-11, 2018
First Page:287
Last Page:292
ISBN:978-1-4503-5784-5
DOI:https://doi.org/10.1145/3213586.3225239
Publisher:ACM
Date of first publication:2018/07/02
Tag:Group behavior; co-located collaboration; tiled displays; user study
Departments, institutes and facilities:Fachbereich Informatik
Institute of Visual Computing (IVC)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2018/07/18