arbiter
JournalsAccount

Exploring the application of LLM-based AI in UX design: an empirical case study of ChatGPT

Zhibin Zhou et al.

Human-Computer Interaction2024https://doi.org/10.1080/07370024.2024.2420991article
AJG 1ABDC A
Weight
0.54

Abstract

No abstract available.

16 citations

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1080/07370024.2024.2420991

Or copy a formatted citation

@article{zhibin2024,
  title        = {{Exploring the application of LLM-based AI in UX design: an empirical case study of ChatGPT}},
  author       = {Zhibin Zhou et al.},
  journal      = {Human-Computer Interaction},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.1080/07370024.2024.2420991},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Exploring the application of LLM-based AI in UX design: an empirical case study of ChatGPT

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.54

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.46 × 0.4 = 0.18
M · momentum0.90 × 0.15 = 0.14
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.