TY - JOUR
T1 - Evaluation and estimation of discomfort during continuous work with Mixed Reality systems by deep learning
AU - Banchi, Yoshihiro
AU - Tsuchiya, Kento
AU - Hirose, Masato
AU - Takahashi, Ryu
AU - Yamashita, Riku
AU - Kawai, Takashi
N1 - Publisher Copyright:
© 2022 Society for Imaging Science and Technology. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Mixed reality systems are often reported to cause user discomfort. Therefore, it is important to estimate the timing at which discomfort occurs and to consider ways to reduce or avoid it. The purpose of this study is to estimate the discomfort of the user while using the MR system. Psychological and physiological indicators during the task were measured using the MR system, and a deep learning model was constructed to estimate psychological indicators from physiological indicators. As a result of 4-fold cross-validation, the average F1-value of each discomfort score was 0.608 for 1 (Nothing at all), 0.555 for 2 (Slightly Discomfort), and 0.290 for 3 (Very Discomfort). This result suggests that mild discomfort can be detected with a certain degree of accuracy.
AB - Mixed reality systems are often reported to cause user discomfort. Therefore, it is important to estimate the timing at which discomfort occurs and to consider ways to reduce or avoid it. The purpose of this study is to estimate the discomfort of the user while using the MR system. Psychological and physiological indicators during the task were measured using the MR system, and a deep learning model was constructed to estimate psychological indicators from physiological indicators. As a result of 4-fold cross-validation, the average F1-value of each discomfort score was 0.608 for 1 (Nothing at all), 0.555 for 2 (Slightly Discomfort), and 0.290 for 3 (Very Discomfort). This result suggests that mild discomfort can be detected with a certain degree of accuracy.
UR - http://www.scopus.com/inward/record.url?scp=85132413901&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85132413901&partnerID=8YFLogxK
U2 - 10.2352/EI.2022.34.2.SDA-309
DO - 10.2352/EI.2022.34.2.SDA-309
M3 - Conference article
AN - SCOPUS:85132413901
SN - 2470-1173
VL - 34
JO - IS and T International Symposium on Electronic Imaging Science and Technology
JF - IS and T International Symposium on Electronic Imaging Science and Technology
IS - 2
M1 - 309
T2 - IS and T International Symposium on Electronic Imaging: 33rd Stereoscopic Displays and Applications, SDA 2022
Y2 - 17 January 2022 through 26 January 2022
ER -