Supporting Complex Decision-Making: Evidence from an Eye Tracking Study on In-Person and Remote Collaboration

Author:

Wisiecka Katarzyna1ORCID,Konishi Yuumi2ORCID,Krejtz Krzysztof1ORCID,Zolfaghari Mahshid3ORCID,Kopainsky Birgit3ORCID,Krejtz Izabela1ORCID,Koike Hideki4ORCID,Fjeld Morten5ORCID

Affiliation:

1. Institute of Psychology, SWPS University of Humanities and Social Sciences

2. t2i Lab, Chalmers University of Technology and Koike Lab, Tokyo Institute of Technology

3. System Dynamics Group, University of Bergen

4. Koike Lab, Tokyo Institute of Technology

5. t2i Lab, Chalmers University of Technology and t2i Lab, University of Bergen

Abstract

This article examines the attentional mechanism of in-person collaboration by means of System Dynamics-based simulations using an eye tracking experiment. Three experimental conditions were tested: in-person collaboration, remote collaboration, and single user. We hypothesized that collaboration focuses users’ attention on key information facilitating decision-making. Collaborating participants dwelt longer on key elements of the simulation than single users. Moreover, in-person collaboration and single users yielded a strategy of decision-making similar to an optimal strategy. Finally, in-person collaboration was less cognitively demanding and of higher quality. The contribution of this article is a deeper understanding of how in-person collaboration on a large display can help users focus their visual attention on the most important areas. With this novel understanding, we believe collaborative systems designers will be better equipped to design more effective attention-guiding mechanisms in remote collaboration systems. The present work has the potential to advance the study of collaborative, interactive technologies.

Funder

Marianne and Marcus Wallenberg Foundation and the Marcus and Amalia Wallenberg Foundation

UiB strategic collaboration funds

MediaFutures partners and the Research Council of Norway

European Union resources within the European Social Fund

Publisher

Association for Computing Machinery (ACM)

Subject

Human-Computer Interaction

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