Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

5-2025

Abstract

In Affective computing, recognizing users’ emotions accurately is the basis of affective human–computer interaction. Understanding users’ interoception contributes to a better understanding of individually different emotional abilities, which is essential for achieving inter-individually accurate emotion estimation. However, existing interoception measurement methods, such as the heart rate discrimination task, have several limitations, including their dependence on a well-controlled laboratory environment and precision apparatus, making monitoring users’ interoception challenging. This study aims to determine other forms of data that can explain users’ interoceptive or similar states in their real-world lives and propose a novel hypothetical concept “cyberoception,” a new sense (1) which has properties similar to interoception in terms of the correlation with other emotion-related abilities, and (2) which can be measured only by the sensors embedded inside commodity smartphone devices in users’ daily lives. Results from a 10-day-long in-lab/in-the-wild hybrid experiment reveal a specific cyberoception type “Turn On” (users’ subjective sensory perception about the frequency of turning-on behavior on their smartphones) significantly related to participants’ emotional valence. We anticipate that cyberoception to serve as a fundamental building block for developing more “emotion-aware”, user-friendly applications and services.

Keywords

Emotion / Affective Computing, Cyberoception, Interoception, Sensing, Mobile Devices, Wearable Devices, Personalization

Discipline

Artificial Intelligence and Robotics | Graphics and Human Computer Interfaces

Publication

CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, April 26 - May 1, Yokohama

First Page

1

Last Page

17

ISBN

9798400713941

Identifier

10.1145/3706598.3713638

Publisher

ACM

City or Country

New York

Additional URL

https://doi.org/10.1145/3706598.3713638

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