Mirror Ritual: An Affective Interface for Emotional Self-Reflection

要旨

This paper introduces a new form of real-time affective interface that engages the user in a process of conceptualisation of their emotional state. Inspired by Barrett's Theory of Constructed Emotion, 'Mirror Ritual' aims to expand upon the user's accessible emotion concepts, and to ultimately provoke emotional reflection and regulation. The interface uses classified emotions – obtained through facial expression recognition -- as a basis for dynamically generating poetry. The perceived emotion is used to seed a poetry generation system based on OpenAI's GPT-2 model, fine-tuned on a specially curated corpus. We evaluate the device's ability to foster a personalised, meaningful experience for individual users over a sustained period. A qualitative analysis revealed that participants were able to affectively engage with the mirror, with each participant developing a unique interpretation of its poetry in the context of their own emotional landscape.

キーワード
Affective computing
affective interface
theory of constructed emotion
computational creativity
emotion
poetry
generative networks
著者
Nina Rajcic
Monash University, Melbourne, VIC, Australia
Jon McCormack
Monash University, Melbourne, VIC, Australia
DOI

10.1145/3313831.3376625

論文URL

https://doi.org/10.1145/3313831.3376625

動画

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Design for reflective practices & value

Paper session
313C O'AHU
4 件の発表
2020-04-30 20:00:00
2020-04-30 21:15:00
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