Mapping Eye-Tracking Research in Human–Computer Interaction: A Science-Mapping and Content-Analysis Study

Notes

Korkmaz, A. (2026) 'Mapping eye-tracking research in human–computer interaction: a science-mapping and content-analysis study', *Journal of Eye Movement Research*, 19(1), 23. doi: 10.3390/jemr19010023.

Open-access (MDPI, CC BY) single-author bibliometric review by Adem Korkmaz (Bandırma Onyedi Eylül University, Türkiye). Merges Web of Science and Scopus records to analyse 1033 unique publications on eye tracking in HCI from 2020–2025, using VOSviewer for keyword co-occurrence, co-citation, co-authorship, and source mapping, plus a qualitative content analysis of the 50 most-cited papers. Identifies four principal research axes — deep-learning gaze estimation, XR interaction paradigms, cognitive load / human factors, and usability / accessibility design — and a thematic shift over time toward XR, AI, and gaze-controlled interaction. Compiled in full into [[eye-tracking-hci-science-mapping]]; the field-level map that situates this KB's existing topic articles ([[gaze-interaction-in-extended-reality]], [[appearance-based-gaze-estimation]], [[pupil-dilation-cognitive-load]], [[gaze-based-hci-and-usability]], [[eye-tracking-in-virtual-reality]]).

Pagination: MDPI article-internal numbering runs "1 of 21" … "21 of 21", so **PDF page = original printed page (offset 0)**. Searchable text, `ocr_status: ok`; verified via the RAW PDF and DOI. Figures 2 (keyword co-occurrence network, p. 7) and 4 (time-overlay keyword map, p. 11) extracted to `Wiki/images/eye-tracking-hci-science-mapping/`.

```bibtex
@article{korkmaz2026mapping,
  author    = {Korkmaz, Adem},
  title     = {Mapping Eye-Tracking Research in Human--Computer Interaction: A Science-Mapping and Content-Analysis Study},
  journal   = {Journal of Eye Movement Research},
  volume    = {19},
  number    = {1},
  pages     = {23},
  year      = {2026},
  doi       = {10.3390/jemr19010023}
}
```

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