Our paper “Gaze-Guided Narratives: Adapting Audio Guide Content to Gaze in Virtual and Real Environments” has been accepted by ACM CHI 2019 as a full paper:
Kwok, T.C.K., Kiefer, P., Schinazi, V.R., Adams, B., and Raubal, M. (2019) Gaze-Guided Narratives: Adapting Audio Guide Content to Gaze in Virtual and Real Environments. In CHI Conference on Human Factors in Computing Systems Proceedings (CHI 2019), ACM (accepted)
This paper proposes Gaze-Guided Narratives as an implicit gaze-based interaction concept for guiding tourists through the hidden stories of a city panorama. It reports on the implementation and evaluation of this concept which has been developed as part of the LAMETTA project. This research has been performed in collaboration between the GeoGazeLab, Victor R. Schinazi (Chair of Cognitive Science, ETH Zurich) and Benjamin Adams (Department of Geography, University of Canterbury).
Abstract. Exploring a city panorama from a vantage point is a popular tourist activity. Typical audio guides that support this activity are limited by their lack of responsiveness to user behavior and by the difficulty of matching audio descriptions to the panorama. These limitations can inhibit the acquisition of information and negatively affect user experience. This paper proposes Gaze-Guided Narratives as a novel interaction concept that helps tourists find specific features in the panorama (gaze guidance) while adapting the audio content to what has been previously looked at (content adaptation). Results from a controlled study in a virtual environment (n=60) revealed that a system featuring both gaze guidance and content adaptation obtained better user experience, lower cognitive load, and led to better performance in a mapping task compared to a classic audio guide. A second study with tourists situated at a vantage point (n=16) further demonstrated the feasibility of this approach in the real world.