The Evaluation of Eye-tracking Technology for Human-Computer Interaction Control
Research Article
Open Access
CC BY

The Evaluation of Eye-tracking Technology for Human-Computer Interaction Control

Junjie Chen 1*
1 University of Liverpool
*Corresponding author: cjj20020222@gmail.com
Published on 30 July 2025
Journal Cover
CHR Vol.74
ISSN (Print): 2753-7072
ISSN (Online): 2753-7064
ISBN (Print): 978-1-80590-301-7
ISBN (Online): 978-1-80590-302-4
Download Cover

Abstract

Human-computer interaction (HCI) traditionally relies on manual input devices like mice and keyboards, which can be limiting or inaccessible in certain contexts. Eye-tracking technology, enabling control and interaction through gaze direction, emerges as a promising alternative, offering a more natural and intuitive interface. This report evaluates the applicability and costs of eye-tracking technology for HCI control, assessing its potential to overcome traditional limitations. Recent rapid advancements have expanded eye-tracking beyond laboratories into diverse fields (e.g., user research, software development, education), demonstrating significant potential. Our evaluation of applicability reveals its versatility in scenarios requiring interactive operations, such as optimizing interface design, aiding code comprehension, and enhancing learning analytics. However, technical constraints like accuracy variations (typically 0.5°-1.5°), latency issues (often >100ms), and sensitivity to individual differences hinder universal adoption. Regarding costs, while hardware prices have decreased significantly (e.g., devices now available for $99-$495), widespread implementation faces substantial barriers. These include ongoing maintenance expenses, the need for specialized personnel for calibration and data analysis, and operational constraints like high energy demands and specific environmental requirements, contributing to a high total cost of ownership. Despite these challenges, eye-tracking technology holds considerable promise for revolutionizing HCI paradigms, particularly for accessibility and specialized applications. Its future success hinges on overcoming current cost-effectiveness barriers and technical limitations to achieve broader, practical deployment.

Keywords:

Eye-tracking Technology, Human-Computer Interaction (HCI), Applicability Evaluation, Cost-Benefit Analysis

View PDF
Chen,J. (2025). The Evaluation of Eye-tracking Technology for Human-Computer Interaction Control. Communications in Humanities Research,74,31-36.

References

[1]. S. Djamasbi, M. Siegel, and T. Tullis. (2010) Generation Y, web design, and eye tracking, International Journal of HumanComputer Studies, vol. 68, no. 5, pp. 307–323. doi: https: //doi.org/10.1016/j.ijhcs.2009.12.006.

[2]. B. Sharif and T. Shaffer. (2015) The Use of Eye Tracking in Software Development, ” in Foundations of Augmented Cognition, D. D. Schmorrow and Fidopiastis, Cali M, Eds., Cham: Springer International Publishing, pp. 807–816. Available: https: //doi.org/10.1007/978-3-319-20816-977.

[3]. S. Djamasbi. (2014) Eye Tracking and Web Experience. AIS Transactions on Human Computer Interaction, vol. 6, no. 2, pp. 37–54.

[4]. X. Zhang, X. Liu, S. Yuan, and S. Lin. (2017) Eye Tracking Based Control System for Natural Human-Computer Interaction, Computational Intelligence and Neuroscience, vol. 2017. doi: https: //doi.org/10.1155/2017/5739301.

[5]. V. Janthanasub and P. Meesad. (2015) Evaluation of a low-cost Eye Tracking System for Computer Input. Applied Science and Engineering Progress, vol. 8, Art. no. 3. doi: http: //dx.doi.org/10.14416/j.ijast.2015.07.001.

[6]. U. Obaidellah, A. Haek, and P. C. Cheng. (2018) A Survey on the Usage of Eye-Tracking in Computer Programming, ACM Computing Surveys (CSUR), vol. 51, no. 1, pp. 1–58. doi: https: //doi.org/10.1145/3145904.

[7]. S. Almeida, Ó. Mealha, and A. Veloso. (2016) Video game scenery analysis with eye tracking, Entertainment Computing, vol. 14, pp. 1–13. doi: https: //doi.org/10.1016/j.entcom.2015.12.001.

[8]. M. Lai et al. (2013) A review of using eye-tracking technology in exploring learning from 2000 to 2012, Educational Research Review, vol. 10, pp. 90–115. doi: https: //doi.org/10.1016/j.edurev.2013.10.001.

[9]. K. A. Dalrymple, M. D. Manner, K. A. Harmelink, E. P. Teska, and J. T. Elison. (2018) An examination of recording accuracy and precision from eye tracking data from toddlerhood to adulthood, Frontiers in psychology, vol. 9, pp. 803. doi: https: //doi.org/10.3389/fpsyg.2018.00803.

[10]. A. Sen, Bandara, Nuwan Sriyantha, I. Gokarn, T. Kandappu, and A. Misra. (2024) EyeTrAES: finegrained, low-latency eye tracking via adaptive event slicing. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 8, no. 4, pp. 1–32. doi: https: //doi.org/10.1145/3699745.

[11]. M. Burch, R. Haymoz, and S. Lindau. (2022) The Benefits and Drawbacks of Eye Tracking for Improving Educational Systems, Seattle, WA, USA: Association for Computing Machinery. doi: https: //doi.org/10.1145/3517031.3529242.

[12]. I. Schuetz and K. Fiehler. (2022) Eye tracking in virtual reality: Vive pro eye spatial accuracy, precision, and calibration reliability. Journal of Eye Movement Research, vol. 15, no. 3, September. doi: https: //doi.org/10.16910/jemr.15.3.3.

Cite this article

Chen,J. (2025). The Evaluation of Eye-tracking Technology for Human-Computer Interaction Control. Communications in Humanities Research,74,31-36.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of ICADSS 2025 Symposium: Art, Identity, and Society: Interdisciplinary Dialogues

ISBN: 978-1-80590-301-7(Print) / 978-1-80590-302-4(Online)
Editor: Ioannis Panagiotou, Yanhua Qin
Conference date: 22 August 2025
Series: Communications in Humanities Research
Volume number: Vol.74
ISSN: 2753-7064(Print) / 2753-7072(Online)