Automatic Evaluation of Presenters’ Discussion Performance based on Their Heart Rate

Shimeng Peng, Katashi Nagao

2018

Abstract

Heart rate (HR) variability (HRV) has recently seen a surge in interest regarding the evaluation of cognitive performance as it always be used to measure the autonomic nervous system function. In this study, we argue that a presenters’ HR data can be used to effectively evaluate their cognitive performance, specifically presenters’ performance of discussion which consists of several Q&A segments (question and answer pairs) compared with using traditional natural language processing (NLP) such as semantic analysis. To confirm this, we used a non-invasive device, i.e., Apple Watch, to collect real-time updated HR data of presenters during discussions in our lab-seminar environment, their HR data were analyzed based on Q&A segments, and three machine-learning models were generated for evaluation: logistic regression, support vector machine, and random forest. We also discuss the meaningful HR and HRV features (metrics). Comparative experiments were conducted involving semantic data of Q&A statements alone and a combination of HR and semantic data. The HR data of presenters resulted in effective evaluation of discussion performance compared with using only semantic data. The combination of these two types of data could improve the discussion performance evaluation ability to some extent.

Paper Citation

in Harvard Style

Peng S. and Nagao K. (2018). Automatic Evaluation of Presenters’ Discussion Performance based on Their Heart Rate.In Proceedings of the 10th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-291-2, pages 27-34. DOI: 10.5220/0006799500270034

in Bibtex Style

@conference{csedu18,
author={Shimeng Peng and Katashi Nagao},
title={Automatic Evaluation of Presenters’ Discussion Performance based on Their Heart Rate},
booktitle={Proceedings of the 10th International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2018},
pages={27-34},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006799500270034},
isbn={978-989-758-291-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - Automatic Evaluation of Presenters’ Discussion Performance based on Their Heart Rate
SN - 978-989-758-291-2
AU - Peng S.
AU - Nagao K.
PY - 2018
SP - 27
EP - 34
DO - 10.5220/0006799500270034