Pupil diameter as a measure of emotion and sickness in VR

8Citations
Citations of this article
67Readers
Mendeley users who have this article in their library.

Abstract

Eye tracking is rapidly becoming popular in consumer technology, including virtual and augmented reality. Eye trackers commonly provide an estimate of gaze location, and pupil diameter. Pupil diameter is useful for interactive systems, as it provides means to estimate cognitive load, stress, and emotional state. However, there are several roadblocks that limit the use of pupil diameter. In VR HMDs there are a lack of models that account for stereoscopic viewing and the increased brightness of near eye displays. Existing work has shown correlations between pupil diameter and emotion, but have not been extended to VR environments. The scope of this work is to bridge the gap between existing research on emotion and pupil diameter to VR, while also attempting to use pupillary data to tackle the problem of simulator sickness in VR.

References Powered by Scopus

Measuring emotion: The self-assessment manikin and the semantic differential

7207Citations
N/AReaders
Get full text

Simulator Sickness Questionnaire: An Enhanced Method for Quantifying Simulator Sickness

4368Citations
N/AReaders
Get full text

The pupil as a measure of emotional arousal and autonomic activation

1405Citations
N/AReaders
Get full text

Cited by Powered by Scopus

A Systematic Review of Physiological Measurements, Factors, Methods, and Applications in Virtual Reality

67Citations
N/AReaders
Get full text

Pupillary light reflex as a diagnostic aid from computational viewpoint: A systematic literature review

26Citations
N/AReaders
Get full text

Real-Time Prediction of Simulator Sickness in Virtual Reality Games

24Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

John, B. (2019). Pupil diameter as a measure of emotion and sickness in VR. In Eye Tracking Research and Applications Symposium (ETRA). Association for Computing Machinery. https://doi.org/10.1145/3314111.3322868

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 27

66%

Researcher 7

17%

Professor / Associate Prof. 5

12%

Lecturer / Post doc 2

5%

Readers' Discipline

Tooltip

Computer Science 22

65%

Psychology 7

21%

Engineering 3

9%

Neuroscience 2

6%

Save time finding and organizing research with Mendeley

Sign up for free