Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Narechania, Arpit"'
Academic literature reviews have traditionally relied on techniques such as keyword searches and accumulation of relevant back-references, using databases like Google Scholar or IEEEXplore. However, both the precision and accuracy of these search tec
Externí odkaz:
http://arxiv.org/abs/2408.13450
Recently, large language models (LLMs) have shown great promise in translating natural language (NL) queries into visualizations, but their "black-box" nature often limits explainability and debuggability. In response, we present a comprehensive text
Externí odkaz:
http://arxiv.org/abs/2408.13391
We present ProvenanceWidgets, a Javascript library of UI control elements such as radio buttons, checkboxes, and dropdowns to track and dynamically overlay a user's analytic provenance. These in situ overlays not only save screen space but also minim
Externí odkaz:
http://arxiv.org/abs/2407.17431
Autor:
Narechania, Arpit, Du, Fan, Sinha, Atanu R, Rossi, Ryan A., Hoffswell, Jane, Guo, Shunan, Koh, Eunyee, Navathe, Shamkant B., Endert, Alex
Selecting relevant data subsets from large, unfamiliar datasets can be difficult. We address this challenge by modeling and visualizing two kinds of auxiliary information: (1) quality - the validity and appropriateness of data required to perform cer
Externí odkaz:
http://arxiv.org/abs/2303.01575
Natural language (NL) toolkits enable visualization developers, who may not have a background in natural language processing (NLP), to create natural language interfaces (NLIs) for end-users to flexibly specify and interact with visualizations. Howev
Externí odkaz:
http://arxiv.org/abs/2207.00189
Human biases impact the way people analyze data and make decisions. Recent work has shown that some visualization designs can better support cognitive processes and mitigate cognitive biases (i.e., errors that occur due to the use of mental "shortcut
Externí odkaz:
http://arxiv.org/abs/2108.03536
There are a few prominent practices for conducting reviews of academic literature, including searching for specific keywords on Google Scholar or checking citations from some initial seed paper(s). These approaches serve a critical purpose for academ
Externí odkaz:
http://arxiv.org/abs/2108.03366
Visual data analysis tools provide people with the agency and flexibility to explore data using a variety of interactive functionalities. However, this flexibility may introduce potential consequences in situations where users unknowingly overemphasi
Externí odkaz:
http://arxiv.org/abs/2108.02909
Natural language interfaces (NLIs) have shown great promise for visual data analysis, allowing people to flexibly specify and interact with visualizations. However, developing visualization NLIs remains a challenging task, requiring low-level impleme
Externí odkaz:
http://arxiv.org/abs/2008.10723
Modern automobiles have evolved from just being mechanical machines to having full-fledged electronics systems that enhance vehicle dynamics and driver experience. However, these complex hardware and software systems, if not properly designed, can ex
Externí odkaz:
http://arxiv.org/abs/2007.15832