Eye tracking allows psychologists to make broad distinctions between groups of participants. Therefore, it may be entirely possible to exploit these distinctions in order to create screening tools for potentially diagnosing various conditions. These diagnostic techniques may have a number of advantages over exiting techniques. However, in order to develop such screening tools it would be beneficial if eye tracking systems were easy to access and use. There are a number of ways to improve accessibility of eye trackers: affordability, transportation, ease of use. This positional paper explores how HCI (Human Computer Interaction) eye trackers can be used for diagnostic purposes of psychological conditions.
- Sport, Exercise and Health Sciences
Smart Innovation, Systems and Technologies
Pages308 - 315
CitationWILCOCKSON, T.D.W., 2017. Using eye trackers as indicators of diagnostic markers: Implications from HCI devices. IN: Czarnowski, I., Howlett, R.J. and Jain, L.C. (eds). Intelligent Decision Technologies 2017 (IDT 2017), Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017) – Part II, pp.308-315.
Publisher© Springer International Publishing
VersionAM (Accepted Manuscript)
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
NotesThe final authenticated version is
available online at https://doi.org/10.1007/978-3-319-59424-8_29. This conference was held 20-22 June 2018, Gold Coast, QLD, Australia.
Book seriesSmart Innovation, Systems and Technologies;73