research-article

GestureMap: Supporting Visual Analytics and Quantitative Analysis of Motion Elicitation Data by Learning 2D Embeddings

Authors:

Daniel BuschekAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 317, Pages 1 - 12

https://doi.org/10.1145/3411764.3445765

Published: 07 May 2021 Publication History

Abstract

This paper presents GestureMap, a visual analytics tool for gesture elicitation which directly visualises the space of gestures. Concretely, a Variational Autoencoder embeds gestures recorded as 3D skeletons on an interactive 2D map. GestureMap further integrates three computational capabilities to connect exploration to quantitative measures: Leveraging DTW Barycenter Averaging (DBA), we compute average gestures to 1) represent gesture groups at a glance; 2) compute a new consensus measure (variance around average gesture); and 3) cluster gestures with k-means. We evaluate GestureMap and its concepts with eight experts and an in-depth analysis of published data. Our findings show how GestureMap facilitates exploring large datasets and helps researchers to gain a visual understanding of elicited gesture spaces. It further opens new directions, such as comparing elicitations across studies. We discuss implications for elicitation studies and research, and opportunities to extend our approach to additional tasks in gesture elicitation.

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Cited By

Lin DCaba Heilbron FLee JWang OMartelaro N(2024)VideoMap: Supporting Video Exploration, Brainstorming, and Prototyping in the Latent SpaceProceedings of the 16th Conference on Creativity & Cognition10.1145/3635636.3656192(311-327)Online publication date: 23-Jun-2024
https://dl.acm.org/doi/10.1145/3635636.3656192
Vatavu R(2023)Gesture-Based InteractionHandbook of Human Computer Interaction10.1007/978-3-319-27648-9_20-1(1-47)Online publication date: 9-Feb-2023
https://doi.org/10.1007/978-3-319-27648-9_20-1
Li ALiu JCordeil MEns B(2022)Demonstrating Immersive Gesture Exploration with GestureExplorer2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW55335.2022.00341(980-981)Online publication date: Mar-2022
https://doi.org/10.1109/VRW55335.2022.00341
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GestureMap: Supporting Visual Analytics and Quantitative Analysis of Motion Elicitation Data by Learning 2D Embeddings

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cover image ACM Conferences

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

10862 pages

ISBN:9781450380966

DOI:10.1145/3411764

General Chairs:
Yoshifumi Kitamura
Tohoku University, Japan
,
Aaron Quigley
University of New South Wales, Australia
,
Program Chairs:
Katherine Isbister
University of California Santa Cruz, USA
,
Takeo Igarashi
The University of Tokyo, Japan
,
Publications Chairs:
Pernille Bjørn
University of Copenhagen, Denmark
,
Steven Drucker
Microsoft Research, USA

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Cited By

Lin DCaba Heilbron FLee JWang OMartelaro N(2024)VideoMap: Supporting Video Exploration, Brainstorming, and Prototyping in the Latent SpaceProceedings of the 16th Conference on Creativity & Cognition10.1145/3635636.3656192(311-327)Online publication date: 23-Jun-2024
https://dl.acm.org/doi/10.1145/3635636.3656192
Vatavu R(2023)Gesture-Based InteractionHandbook of Human Computer Interaction10.1007/978-3-319-27648-9_20-1(1-47)Online publication date: 9-Feb-2023
https://doi.org/10.1007/978-3-319-27648-9_20-1
Li ALiu JCordeil MEns B(2022)Demonstrating Immersive Gesture Exploration with GestureExplorer2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW55335.2022.00341(980-981)Online publication date: Mar-2022
https://doi.org/10.1109/VRW55335.2022.00341
Li ALiu JCordeil MEns B(2022)Initial Evaluation of Immersive Gesture Exploration with GestureExplorer2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW55335.2022.00141(580-581)Online publication date: Mar-2022
https://doi.org/10.1109/VRW55335.2022.00141

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