Publications

2026

  1. FAccT’26
    (Under-review)
    A Gender-Diverse Perspective of Bias in Large Language Models
    Aimen Gaba, Emily Wall, Os Keyes, and 3 more authors
    2026
  2. TVCG’26
    (Under-review)
    Capturing the Gist: How Data Approximation Algorithms Align with Human Perception in Time-Series Visualizations
    Yishu Ji, Aimen Gaba, Reid Laughton, and 2 more authors
    IEEE TVCG, 2026
  3. ASSETS’26
    (In Preparation)
    "Beyond Disability-centered:" Empowering Blind-led Innovation of Assistive Technology
    Aimen Gaba, Lucas Nadolskis, Patrick Carrington, and 3 more authors
    2026

2025

  1. arXiv
    Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models
    Aimen Gaba, Emily Wall, Tejas Ramkumar Babu, and 3 more authors
    arXiv preprint arXiv:2506.21898, 2025
    PDF

2023

  1. IEEE VIS’23
    My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning
    Aimen Gaba, Zhanna Kaufman, Jason Chueng, and 4 more authors
    2023
    PDF
  2. IEEE TVCG’23
    Reasoning Affordances with Tables and Bar Charts
    Cindy Xiong, Elsie Lee-Robbins, Icy Zhang, and 2 more authors
    IEEE Transactions on Visualization and Computer Graphics, 2023
    PDF

2022

  1. IEEE VIS’22
    Comparison Conundrum and the Chamber of Visualizations: An Exploration of How Language Influences Visual Design
    Aimen Gaba, Vidya Setlur, Arjun Srinivasan, and 2 more authors
    IEEE Transactions on Visualization and Computer Graphics, 2022
    PDF
  2. IEEE BELIV’22
    How Do We Measure Trust in Visual Data Communication?
    Hamza Elhamdadi, Aimen Gaba, Yea-Seul Kim, and 1 more author
    In 2022 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV), 2022
    PDF