From Recognition to Expression: A Qualitative Study on Emotion-Driven Mechanisms in Interactive Art

Yiming He

2025

Abstract

As emotion recognition technologies evolve, their integration into interactive art opens up new possibilities for real-time, affect-sensitive experiences. Rather than relying on conventional inputs like touch or movement, emotion-driven systems detect users’ affective states—through facial expressions, vocal features, or physiological signals—and translate them into dynamic visual, auditory, or spatial feedback. This approach not only creates novel aesthetic interactions but also deepens emotional resonance between participant and system. This paper examines the core mechanisms behind emotion-driven interaction in art by analyzing how emotional data is captured, interpreted, and expressed. It explores three major recognition pathways—facial, vocal, and physiological—each offering distinct affordances in responsiveness, sensitivity, and ambiguity. The paper further investigates how artists translate raw emotion into aesthetic parameters, embedding their own conceptual logic and cultural framing into the system’s response. Through comparative case analysis and cross-modal reflection, this study highlights emotion’s dual role as both computational input and expressive medium, and proposes future directions for designing emotionally intelligent, adaptive, and culturally sensitive interactive systems.

Paper Citation

in Harvard Style

He Y. (2025). From Recognition to Expression: A Qualitative Study on Emotion-Driven Mechanisms in Interactive Art . In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 376-380. DOI: 10.5220/0014355900004718

in Bibtex Style

@conference{emiti25,
author={Yiming He},
title={From Recognition to Expression: A Qualitative Study on Emotion-Driven Mechanisms in Interactive Art },
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={376-380},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014355900004718},
isbn={978-989-758-792-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - From Recognition to Expression: A Qualitative Study on Emotion-Driven Mechanisms in Interactive Art
SN - 978-989-758-792-4
AU - He Y.
PY - 2025
SP - 376
EP - 380
DO - 10.5220/0014355900004718
PB - SciTePress