DOF ranks document categories by distinctiveness instead of size to promote blind-spot discovery, surfacing different content than coverage-based methods across four domains.
InProceedings of the 23rd International Conference on Intelligent User Interfaces (IUI ’18)
4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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Designers and developers accept LLMs more readily when framed as tools under human control than as teammates with ambiguous agency, because the latter blurs accountability; the paper provides an analytic rubric for how role framing affects authority, oversight, and organizational fit.
Interviews with 16 qualitative researchers identify efficiency, ownership, and trust as key factors shaping preferences for AI as a supportive assistant rather than a full collaborator or supervisor in qualitative data analysis.
The study introduces a framework and reports differences in consistency, cohesiveness, and correctness of themes produced under synchronous versus asynchronous collaboration across three interactive NLP tools.
citing papers explorer
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Discovery-Oriented Faceting: From Coverage to Blind-Spot Discovery
DOF ranks document categories by distinctiveness instead of size to promote blind-spot discovery, surfacing different content than coverage-based methods across four domains.
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To LLM, or Not to LLM: How Designers and Developers Navigate LLMs as Tools or Teammates
Designers and developers accept LLMs more readily when framed as tools under human control than as teammates with ambiguous agency, because the latter blurs accountability; the paper provides an analytic rubric for how role framing affects authority, oversight, and organizational fit.
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Not a Collaborator or a Supervisor, but an Assistant: Striking the Balance Between Efficiency and Ownership in AI-incorporated Qualitative Data Analysis
Interviews with 16 qualitative researchers identify efficiency, ownership, and trust as key factors shaping preferences for AI as a supportive assistant rather than a full collaborator or supervisor in qualitative data analysis.
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Effects of Collaboration on the Performance of Interactive Theme Discovery Systems
The study introduces a framework and reports differences in consistency, cohesiveness, and correctness of themes produced under synchronous versus asynchronous collaboration across three interactive NLP tools.