18 citations · 21 across the 4 of their papers we have counts for
4 papers
Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models
Aimen Gaba, Emily Wall, Tejas Ramkumar Babu +3
Large language models (LLMs) are becoming increasingly ubiquitous in our daily lives, but numerous concerns about bias in LLMs exist. This study examines how gender-diverse populat…
My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning
Aimen Gaba, Zhanna Kaufman, Jason Chueng +4
Machine learning technology has become ubiquitous, but, unfortunately, often exhibits bias. As a consequence, disparate stakeholders need to interact with and make informed decisio…
How Do We Measure Trust in Visual Data Communication?
Hamza Elhamdadi, Aimen Gaba, Yea-Seul Kim +1
Trust is fundamental to effective visual data communication between the visualization designer and the reader. Although personal experience and preference influence readers' trust…
Comparison Conundrum and the Chamber of Visualizations: An Exploration of How Language Influences Visual Design
Aimen Gaba, Vidya Setlur, Arjun Srinivasan +2
The language for expressing comparisons is often complex and nuanced, making supporting natural language-based visual comparison a non-trivial task. To better understand how people…