Guidance Source Matters: How Guidance from AI, Expert, or a Group of Analysts Impacts Visual Data Preparation and Analysis

no code implementations • 2 Feb 2025 • Arpit Narechania, Alex Endert, Atanu R Sinha

However, research on guidance has not yet examined the perceived efficacy of the source from which guidance is offered and the impact of this source on the user's perception and usage of guidance.

Attribute

Learning to Infer Unobserved Behaviors: Estimating User's Preference for a Site over Other Sites

no code implementations • 15 Dec 2023 • Atanu R Sinha, Tanay Anand, Paridhi Maheshwari, A V Lakshmy, Vishal Jain

Estimating users' preferences for the site, however, faces major obstacles because (a) the focal site usually has no data of its users' interactions with other sites; these interactions are users' unobserved behaviors for the focal site; and (b) the Machine Learning literature in recommendation does not offer a model of this situation.

Personalized Detection of Cognitive Biases in Actions of Users from Their Logs: Anchoring and Recency Biases

no code implementations • 30 Jun 2022 • Atanu R Sinha, Navita Goyal, Sunny Dhamnani, Tanay Asija, Raja K Dubey, M V Kaarthik Raja, Georgios Theocharous

The recognition of cognitive bias in computer science is largely in the domain of information retrieval, and bias is identified at an aggregate level with the help of annotated data.

Bias Detection Ethics +3