Quantitative Analysis of Mental Effort Investment using Photoplethysmogram

Yongqiang Lyu, Tianshu Yang, Xiaomin Luo, Chun Yu, Lei Wang, Yuanchun Shi

2014

Abstract

Recent studies have shown a close relationship between the mental effort and the photoplethysmograms (PPG), but lack an index which can analyze the invested mental effort quantitatively during the cognitive tasks, which is notable for evaluating user experience in ubiquitous scenarios. In this study, we propose the stress-induced vascular response index (sVRI) to quantify the mental effort invested in cognitive tasks, and verify it via the experiments on aritehmatic tasks with different difficulty levels. The results show an outstanding correlation between the sVRI and the task difficulties, which suggests a dose-response of the sVRI when users perform different cognitive tasks with different difficulties. This is useful for evaluating the user experience in performing cognitive tasks to guide the task or the interaction designs.

Paper Citation

in Harvard Style

Lyu Y., Yang T., Luo X., Yu C., Wang L. and Shi Y. (2014). Quantitative Analysis of Mental Effort Investment using Photoplethysmogram . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014) ISBN 978-989-758-010-9, pages 166-171. DOI: 10.5220/0004732001660171

in Bibtex Style

@conference{healthinf14,
author={Yongqiang Lyu and Tianshu Yang and Xiaomin Luo and Chun Yu and Lei Wang and Yuanchun Shi},
title={Quantitative Analysis of Mental Effort Investment using Photoplethysmogram},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)},
year={2014},
pages={166-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004732001660171},
isbn={978-989-758-010-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)
TI - Quantitative Analysis of Mental Effort Investment using Photoplethysmogram
SN - 978-989-758-010-9
AU - Lyu Y.
AU - Yang T.
AU - Luo X.
AU - Yu C.
AU - Wang L.
AU - Shi Y.
PY - 2014
SP - 166
EP - 171
DO - 10.5220/0004732001660171