User-Centered Evaluation of Information Visualization Techniques: Making the HCI-InfoVis Connection Explicit
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Significant challenges remain in conducting truly user-centered usability assessments for XAI-CDSS despite comprehensive evaluation guidelines.
“Despite the existence of comprehensive evaluation guidelines (e.g., those by Freitas et al. [81] for visualization), significant challenges remain in conducting truly user-centered usability assessments for XAI-CDSS.”
From Explainable AI for Clinical Decision Support Systems: Literature Review, Key Gaps, and Research Synthesis (2025) · cites this paper as [81]
The citation lists haven’t been fetched yet
References 80 · Cited by 28
- Authors
- Freitas, C. M. D. S., Pimenta, M. S., & Scapin, D. L.
- Affiliations
- Universidade Federal do Rio Grande do Sul (BR)
- Institut national de recherche en sciences et technologies du numérique (FR)
- Corresponding author
- Freitas, Carla M. D. S.
- Venue
- Handbook of Human Centric Visualization
- Publisher
- Springer New York
- Published
- 2013-06-25
- Pages
- 315-336
- OpenAlex
- W166454861
- Cited by
- 28
- References
- 80
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1 · 2020: 4 · 2019: 1 · 2018: 4 · 2017: 3 · 2016: 5 · 2015: 4 · 2014: 3 · 2012: 1
- FWCI
- 9.50
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- Locations
- Springer eBooks (publishedVersion)
- HAL (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- information visualization, usability evaluation, user-centered evaluation, human-computer interaction, user experience, evaluation guidelines, human factors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review