18 citations · 74 across the 16 of their papers we have counts for
7 papers · 1 filter
Human-Data Interaction, Exploration, and Visualization in the AI Era: Challenges and Opportunities
Jean-Daniel Fekete, Yifan Hu, Dominik Moritz +8
The rapid advancement of AI is transforming human-centered systems, with profound implications for human-AI interaction, human-data interaction, and visual analytics. In the AI era…
Multi-Attribute Group Fairness in -NN Queries on Vector Databases
Thinh On, Senjuti Basu Roy, Baruch Schieber
We initiate the study of multi-attribute group fairness in -nearest neighbor (-NN) search over vector databases. Unlike prior work that optimizes efficiency or query filterin…
Personalized Top-k Set Queries Over Predicted Scores
Sohrab Namazi Nia, Subhodeep Ghosh, Senjuti Basu Roy +1
This work studies the applicability of expensive external oracles such as large language models in answering top-k queries over predicted scores. Such scores are incurred by user-d…
Recommending Deployment Strategies for Collaborative Tasks
Dong Wei, Senjuti Basu Roy, Sihem Amer-Yahia
Our work contributes to aiding requesters in deploying collaborative tasks in crowdsourcing. We initiate the study of recommending deployment strategies for collaborative tasks to…
Eliciting Worker Preference for Task Completion
Mohammadreza Esfandiari, Senjuti Basu Roy, Sihem Amer-Yahia
Current crowdsourcing platforms provide little support for worker feedback. Workers are sometimes invited to post free text describing their experience and preferences in completin…
"The Whole Is Greater Than the Sum of Its Parts": Optimization in Collaborative Crowdsourcing
Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan +2
In this work, we initiate the investigation of optimization opportunities in collaborative crowdsourcing. Many popular applications, such as collaborative document editing, sentenc…
Optimization in Knowledge-Intensive Crowdsourcing
Senjuti Basu Roy, Ioanna Lykourentzou, Saravanan Thirumuruganathan +2
We present SmartCrowd, a framework for optimizing collaborative knowledge-intensive crowdsourcing. SmartCrowd distinguishes itself by accounting for human factors in the process of…