Cited By
View all- Higashimura RWatanabe KVargo AIwata MDengel AKise K(2024)Estimating Unknown English Words From User Smartphone Reading BehaviorsIEEE Access10.1109/ACCESS.2024.345751012(140223-140234)Online publication date: 2024
Metacognition-EnGauge: Real-time Augmentation of Self-and-Group Engagement Levels Understanding by Gauge Interface in Online Meetings
Pages 301 - 303
Abstract
Engagement is one of the core cognitive states in communication. Increased engagement improves the quality and immersion of the conversation. In this demonstration, we aim to present a metacognition augmentation application called Metacognition-EnGauge. This work aims to discover three research questions. Does self-metacognition augmentation of engagement levels support participant to be engaged in the meetings? Does group-metacognition augmentation of engagement levels support participant to be engaged in the meetings? Do participants prefer none, self, or group-metacognition augmentation intervention in the online meetings? To answer these questions, we conducted online meeting experiments with 18 participants. As a result, we found that self-metacognition augmentation outperformed well on increasing average engagement levels. According to the survey, participant preference shows group-metacognition as the best intervention.
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The demo application video.
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References
[1]
Kenneth Holstein, Gena Hong, Mera Tegene, Bruce M. McLaren, and Vincent Aleven. 2018. The classroom as a dashboard: co-designing wearable cognitive augmentation for K-12 teachers. In Proceedings of the 8th International Conference on Learning Analytics and Knowledge (Sydney, New South Wales, Australia) (LAK ’18). Association for Computing Machinery, New York, NY, USA, 79–88. https://doi.org/10.1145/3170358.3170377
[2]
Mikko Kytö, Ilyena Hirskyj-Douglas, and David McGookin. 2021. From Strangers to Friends: Augmenting Face-to-face Interactions with Faceted Digital Self-Presentations. In Proceedings of the Augmented Humans International Conference 2021 (Rovaniemi, Finland) (AHs ’21). Association for Computing Machinery, New York, NY, USA, 192–203. https://doi.org/10.1145/3458709.3458954
[3]
Masayasu Niwa, Katsutoshi Masai, Shigeo Yoshida, and Maki Sugimoto. 2023. Investigating Effects of Facial Self-Similarity Levels on the Impression of Virtual Agents in Serious/Non-Serious Contexts. In Proceedings of the Augmented Humans International Conference 2023 (Glasgow, United Kingdom) (AHs ’23). Association for Computing Machinery, New York, NY, USA, 221–230. https://doi.org/10.1145/3582700.3582721
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Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen. 2018. Mobilenetv2: Inverted residuals and linear bottlenecks. In Proceedings of the IEEE conference on computer vision and pattern recognition. 4510–4520.
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Soohyun Shin, Jaekyung Cho, and Seong-Woo Kim. 2021. Jumple: Interactive Contents for the Virtual Physical Education Classroom in the Pandemic Era. In Proceedings of the Augmented Humans International Conference 2021 (Rovaniemi, Finland) (AHs ’21). Association for Computing Machinery, New York, NY, USA, 268–270. https://doi.org/10.1145/3458709.3458964
[6]
Ko Watanabe, Tanuja Sathyanarayana, Andreas Dengel, and Shoya Ishimaru. 2023. EnGauge: Engagement Gauge of Meeting Participants Estimated by Facial Expression and Deep Neural Network. IEEE Access (2023).
[7]
Ko Watanabe, Yusuke Soneda, Yuki Matsuda, Yugo Nakamura, Yutaka Arakawa, Andreas Dengel, and Shoya Ishimaru. 2021. Discaas: Micro behavior analysis on discussion by camera as a sensor. Sensors 21, 17 (2021), 5719.
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- Metacognition-EnGauge: Real-time Augmentation of Self-and-Group Engagement Levels Understanding by Gauge Interface in Online Meetings
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Published In
April 2024
355 pages
ISBN:9798400709807
DOI:10.1145/3652920
Copyright © 2024 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 01 May 2024
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- Refereed limited
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- DFG International Call on Artificial Intelligence ``Learning Cyclotron'
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AHs 2024
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View all- Higashimura RWatanabe KVargo AIwata MDengel AKise K(2024)Estimating Unknown English Words From User Smartphone Reading BehaviorsIEEE Access10.1109/ACCESS.2024.345751012(140223-140234)Online publication date: 2024
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