Estimation of Affective State based on Keystroke and Typing Vibration during Computer-Mediated Communication

Kei Hasegawa, Hikaru Miyamoto, Yuki Ashida, Yuki Ban, Rui Fukui, Masahiro Inazawa, Shin’ichi Warisawa

Abstract

In recent years, the use of computer-mediated communication (CMC), that is, communication among people through computers, has increased. Knowing the message sender’s affective state is essential for understanding the contents of the message correctly. However, it is difficult to interpret this state because of the nonavailability of nonverbal information from the sender during CMC. Although attempts have been performed to estimate affective state, there is a challenge of high measurement load. In this paper, we propose an estimation of valence and arousal using keyboard input and typing vibration information as a method to estimate the sender’s affective state with a low measurement load during CMC. We conducted experiments to obtain keyboard input and typing vibration information for estimating valence and arousal. This estimation was performed by extracting features from the information using a support vector machine, and cross-validation was conducted to verify our method. Therefore, the valence and arousal were estimated at accuracies of 69.8% and 71.1%, respectively, for unlearned participants’ data.

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Paper Citation


in Harvard Style

Hasegawa K., Miyamoto H., Ashida Y., Ban Y., Fukui R., Inazawa M. and Warisawa S. (2021). Estimation of Affective State based on Keystroke and Typing Vibration during Computer-Mediated Communication.In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOSIGNALS, ISBN 978-989-758-490-9, pages 235-242. DOI: 10.5220/0010267502350242


in Bibtex Style

@conference{biosignals21,
author={Kei Hasegawa and Hikaru Miyamoto and Yuki Ashida and Yuki Ban and Rui Fukui and Masahiro Inazawa and Shin’ichi Warisawa},
title={Estimation of Affective State based on Keystroke and Typing Vibration during Computer-Mediated Communication},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOSIGNALS,},
year={2021},
pages={235-242},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010267502350242},
isbn={978-989-758-490-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOSIGNALS,
TI - Estimation of Affective State based on Keystroke and Typing Vibration during Computer-Mediated Communication
SN - 978-989-758-490-9
AU - Hasegawa K.
AU - Miyamoto H.
AU - Ashida Y.
AU - Ban Y.
AU - Fukui R.
AU - Inazawa M.
AU - Warisawa S.
PY - 2021
SP - 235
EP - 242
DO - 10.5220/0010267502350242