A Review of Pupillometry for Human-computer Interaction Studies

  • Máté Köles Department of Ergonomics and Psychology, Faculty of Economics and Social Sciences, Budapest University of Technology and Economics, Hungary

Abstract

The most commonly used methods in human-computer interaction (HCI) are based on behavioral data, interviews and questionnaires. While these practices are able to provide reliable results, they are influenced by subjective factors arising both from the experimenter’s and the user’s side. Many of these methods also have poor temporal resolution, limiting their range of use. Approaches based on physiological responses should not have these inherent shortcomings. Although there exist many methods based on different signals (EEG, ECG, EDA), pupillometry has its distinct advantages. The basic set of devices needed is cheap compared to most other methods and it is also the least intrusive option. It is well established that cognitive and affective processes can be monitored by recording changes in pupil dilation. While emotions are an important aspect of HCI and overall user experience, changes in mental effort levels are easier to interpret in case of software and webpage evaluation or interactions with automated systems. As a result, the present paper will focus on the measurement of mental effort, only mentioning other possible uses briefly. The goal of this review is to provide a brief insight on the issues that might arise during HCI studies and factors that should be controlled to gather valid data for mental effort calculations.

Keywords

human-computer interaction, pupillometry, mental effort, pupillary light response
Published
01-09-2017
How to Cite
KÖLES, Máté. A Review of Pupillometry for Human-computer Interaction Studies. Periodica Polytechnica Electrical Engineering and Computer Science, [S.l.], sep. 2017. ISSN 2064-5279. Available at: <https://pp.bme.hu/eecs/article/view/10736>. Date accessed: 26 sep. 2017. doi: https://doi.org/10.3311/PPee.10736.
Section
Articles