iBall: Augmenting Basketball Videos with Gaze-moderated Embedded Visualizations

Zhutian Chen; Qisen Yang; Jiarui Shan; Tica Lin; Johanna Beyer; Haijun Xia; Hanspeter Pfister

doi:10.1145/3544548.3581266

iBall: Augmenting Basketball Videos with Gaze-moderated Embedded Visualizations

Zhutian Chen
, Qisen Yang
, Jiarui Shan
, Tica Lin
, Johanna Beyer
, Haijun Xia
, Hanspeter Pfister

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

33 Scopus citations

Abstract

We present iBall, a basketball video-watching system that leverages gaze-moderated embedded visualizations to facilitate game understanding and engagement of casual fans. Video broadcasting and online video platforms make watching basketball games increasingly accessible. Yet, for new or casual fans, watching basketball videos is often confusing due to their limited basketball knowledge and the lack of accessible, on-demand information to resolve their confusion. To assist casual fans in watching basketball videos, we compared the game-watching behaviors of casual and die-hard fans in a formative study and developed iBall based on the findings. iBall embeds visualizations into basketball videos using a computer vision pipeline, and automatically adapts the visualizations based on the game context and users' gaze, helping casual fans appreciate basketball games without being overwhelmed. We confirmed the usefulness, usability, and engagement of iBall in a study with 16 casual fans, and further collected feedback from 8 die-hard fans.

Original language	English (US)
Title of host publication	CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450394215
DOIs	https://doi.org/10.1145/3544548.3581266
State	Published - Apr 19 2023
Externally published	Yes
Event	2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Germany Duration: Apr 23 2023 → Apr 28 2023

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
Country/Territory	Germany
City	Hamburg
Period	4/23/23 → 4/28/23

Bibliographical note

Publisher Copyright:
© 2023 ACM.

Keywords

Augmented Sports Videos
Embedded Visualization
Gaze Interaction
Sports Visualization
Video-based Visualization

Publisher link

10.1145/3544548.3581266

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Find It at U of M Libraries

Cite this

Chen, Z., Yang, Q., Shan, J., Lin, T., Beyer, J., Xia, H., & Pfister, H. (2023). iBall: Augmenting Basketball Videos with Gaze-moderated Embedded Visualizations. In CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems Article 841 (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3544548.3581266

iBall: Augmenting Basketball Videos with Gaze-moderated Embedded Visualizations. / Chen, Zhutian; Yang, Qisen; Shan, Jiarui et al.
CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2023. 841 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chen, Z, Yang, Q, Shan, J, Lin, T, Beyer, J, Xia, H & Pfister, H 2023, iBall: Augmenting Basketball Videos with Gaze-moderated Embedded Visualizations. in CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems., 841, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, Hamburg, Germany, 4/23/23. https://doi.org/10.1145/3544548.3581266

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title = "iBall: Augmenting Basketball Videos with Gaze-moderated Embedded Visualizations",

abstract = "We present iBall, a basketball video-watching system that leverages gaze-moderated embedded visualizations to facilitate game understanding and engagement of casual fans. Video broadcasting and online video platforms make watching basketball games increasingly accessible. Yet, for new or casual fans, watching basketball videos is often confusing due to their limited basketball knowledge and the lack of accessible, on-demand information to resolve their confusion. To assist casual fans in watching basketball videos, we compared the game-watching behaviors of casual and die-hard fans in a formative study and developed iBall based on the findings. iBall embeds visualizations into basketball videos using a computer vision pipeline, and automatically adapts the visualizations based on the game context and users' gaze, helping casual fans appreciate basketball games without being overwhelmed. We confirmed the usefulness, usability, and engagement of iBall in a study with 16 casual fans, and further collected feedback from 8 die-hard fans.",

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AB - We present iBall, a basketball video-watching system that leverages gaze-moderated embedded visualizations to facilitate game understanding and engagement of casual fans. Video broadcasting and online video platforms make watching basketball games increasingly accessible. Yet, for new or casual fans, watching basketball videos is often confusing due to their limited basketball knowledge and the lack of accessible, on-demand information to resolve their confusion. To assist casual fans in watching basketball videos, we compared the game-watching behaviors of casual and die-hard fans in a formative study and developed iBall based on the findings. iBall embeds visualizations into basketball videos using a computer vision pipeline, and automatically adapts the visualizations based on the game context and users' gaze, helping casual fans appreciate basketball games without being overwhelmed. We confirmed the usefulness, usability, and engagement of iBall in a study with 16 casual fans, and further collected feedback from 8 die-hard fans.

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iBall: Augmenting Basketball Videos with Gaze-moderated Embedded Visualizations

Abstract

Publication series

Conference

Bibliographical note

Keywords

Publisher link

Find It

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