GEORGIA INSTITUTE OF TECHNOLOGY
Under the provisions of the regulations for the degree
MASTER OF INDUSTRIAL DESIGN
on
Tuesday, Dec 2nd 2022
9:00 a.m. – 11:00 a.m.
online
Xingyu Li
will present a thesis defense entitled,
“Design and Evaluation of an online interface with AI Emotion suggestions to support social communication”
Advisor:
Dr. Harmon, Stephen W – School of Industrial Design
Committee:
Prof. Noura Howell – School of Digital Media
Prof. Sang-won Leigh – School of Industrial Design
Faculty and students are invited to attend this presentation.
Abstract
Advances in artificial intelligence (AI) have provided great opportunities for participating in social communication and carrying out empathic conversations through collaborating with people. However, AI with low accuracy doesn’t work well in social scenarios as the effect must be studied in the context it is being expressed, and observed emotion signals should not replace internally reported effects for affective computing applications. Perhaps there will be a high-accuracy Emotion AI with an improved algorithm fitting complex social scenarios in the near future. To understand the effects of Emotion AI (artificial intelligence that learns to interpret and respond to human emotions) on people's interpersonal confidence, social experience, and emotion recognition ability, we designed a prototype, Adverb, providing real-time detailed emotion types in the online meeting software.
This thesis study aims to investigate the following questions: How does emotional AI communicate with humans? What’s the impact of AI information displays advice on users' social intelligence and interpersonal confidence? What’s the impact of AI information displays advice on users' emotion recognition ability? We conducted the user study employing both qualitative and quantitive methods, and thirty participants join the survey and interview. This thesis is concluded with a discussion on limitations and future work of human-ai collaboration.
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