Challenges of Emotion Detection Using Facial Expressions and Emotion Visualisation in Remote Communication

被引：8

作者：

Ertay, Eylul ^{[1
]}

Huang, Hao ^{[2
]}

Sarsenbayeva, Zhanna ^{[2
]}

Dingler, Tilman ^{[2
]}

机构：

[1] Cornell Univ, Cornell Tech, New York, NY 10021 USA

[2] Univ Melbourne, Melbourne, Vic, Australia

来源：

UBICOMP/ISWC '21 ADJUNCT: PROCEEDINGS OF THE 2021 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2021 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS | 2021年

关键词：

Emotion Detection; Affective Computing; Face Detection; Remote Chat; Video Conferencing Tool; EXPERIENCE; BEHAVIOR;

D O I：

10.1145/3460418.3479341

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Emotion detection research has gained significant attention across different scientific disciplines, including Human-Computer Interaction and Ubiquitous Computing. In this work, we provide an overview of challenges that researchers and designers face when designing and deploying emotion detection systems. We discuss these challenges in the context of an online video conferencing tool we designed to detect emotions from facial expressions. Finally, we propose ideas on how to better design emotion inference systems and how to provide visual feedback on emotions.

引用

页码：230 / 236

页数：7

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