Rights statement: © ACM, 2018. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ISS '18 Proceedings of the 2018 ACM International Conference on Interactive Surfaces and Spaces http://doi.acm.org/10.1145/3279778.3279795
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Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - EagleView
T2 - A Video Analysis Tool for Visualising and Querying Spatial Interactions of People and Devices
AU - Brudy, Frederik
AU - Suwanwatcharachat, Suppachai
AU - Zhang, Wenyu
AU - Houben, Steven
AU - Marquardt, Nicolai
N1 - © ACM, 2018. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ISS '18 Proceedings of the 2018 ACM International Conference on Interactive Surfaces and Spaces http://doi.acm.org/10.1145/3279778.3279795
PY - 2018/11/25
Y1 - 2018/11/25
N2 - 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.
AB - 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.
U2 - 10.1145/3279778.3279795
DO - 10.1145/3279778.3279795
M3 - Conference contribution/Paper
SN - 9781450356947
SP - 61
EP - 72
BT - ISS '18 Proceedings of the 2018 ACM International Conference on Interactive Surfaces and Spaces
PB - ACM
CY - New York
ER -