How Source Attribution Visualization Shapes User Attention and Preference: An Eye-Tracking Study of Four AI Chatbot Layouts

Junho Cho, Dokshin Lim

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DOI: 10.3390/jemr19040089
Published: 2026-08-14
Container: Journal of Eye Movement Research
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/jemr19040089,
  title = {How Source Attribution Visualization Shapes User Attention and Preference: An Eye-Tracking Study of Four AI Chatbot Layouts},
  author = {Junho Cho and Dokshin Lim},
  year = {2026},
  journal = {Journal of Eye Movement Research},
  doi = {10.3390/jemr19040089},
  url = {https://doi.org/10.3390/jemr19040089}
}

RIS

TY  - JOUR
TI  - How Source Attribution Visualization Shapes User Attention and Preference: An Eye-Tracking Study of Four AI Chatbot Layouts
AU  - Junho Cho
AU  - Dokshin Lim
PY  - 2026
JO  - Journal of Eye Movement Research
DO  - 10.3390/jemr19040089
UR  - https://doi.org/10.3390/jemr19040089
ER  -

APA

Cho, J., & Lim, D. (2026). How Source Attribution Visualization Shapes User Attention and Preference: An Eye-Tracking Study of Four AI Chatbot Layouts. Journal of Eye Movement Research. https://doi.org/10.3390/jemr19040089

Source records

crossref · retrieved 2026-11-10T10:48:17.844Z