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EagleView: A Video Analysis Tool for Visualising and Querying Spatial Interactions of People and Devices

Brudy, FM; Suwanwatcharachat, S; Zhang, W; Houben, S; Marquardt, N; (2018) EagleView: A Video Analysis Tool for Visualising and Querying Spatial Interactions of People and Devices. In: Proceedings of the ACM International Conference on Interactive Surfaces and Spaces:ACM ISS 2018. (pp. pp. 61-72). ACM: New York, NY, USA. Green open access

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Abstract

To study and understand group collaborations involving multiple handheld devices and large interactive displays, researchers frequently analyse video recordings of interaction studies to interpret people’s interactions with each other and/or devices. Advances in ubicomp technologies allow researchers to record spatial information through sensors in addition to video material. However, the volume of video data and high number of coding parameters involved in such an interaction analysis makes this a time-consuming and labour-intensive process. We designed EagleView, which provides analysts with real-time visualisations during playback of videos and an accompanying data-stream of tracked interactions. Real-time visualisations take into account key proxemic dimensions, such as distance and orientation. Overview visualisations show people’s position and movement over longer periods of time. EagleView also allows the user to query people’s interactions with an easy-to-use visual interface. Results are highlighted on the video player’s timeline, enabling quick review of relevant instances. Our evaluation with expert users showed that EagleView is easy to learn and use, and the visualisations allow analysts to gain insights into collaborative activities.

Type: Proceedings paper
Title: EagleView: A Video Analysis Tool for Visualising and Querying Spatial Interactions of People and Devices
Event: ACM International Conference on Interactive Surfaces and Spaces, 25 - 28 November 2018, Tokyo, Japan
Location: Tokyo, Japan
Dates: 25 November 2018 - 28 November 2018
ISBN-13: 978-1-4503-5694-7
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3279778.3279795
Publisher version: https://doi.org/10.1145/3279778.3279795
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Video analysis, cross-device interaction analysis, spatial interaction, group collaboration, interaction analysis, information visualisation
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10058080
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