Cited by 28Data Visualization and AnalyticsUsability and User Interface DesignInnovative Human-Technology Interaction

User-Centered Evaluation of Information Visualization Techniques: Making the HCI-InfoVis Connection Explicit

Freitas, Carla M. D. S., Pimenta, Marcelo S., Scapin, Dominique L.·2014·Handbook of Human Centric Visualization

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Crossref · 10.1007/978-1-4614-7485-2_12

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  • 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.”

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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
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
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

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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.

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