activity
20232025
most citedFostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies

52 citations · 85 across the 9 of their papers we have counts for

collaborators

9 papers

cs.HC2025★ 1 cited

Empowering Children to Create AI-Enabled Augmented Reality Experiences

Lei Zhang, Shuyao Zhou, Amna Liaqat +4

Despite their potential to enhance children's learning experiences, AI-enabled AR technologies are predominantly used in ways that position children as consumers rather than creato…

cs.HC2025★ 9 cited

ConversAR: Exploring Embodied LLM-Powered Group Conversations in Augmented Reality for Second Language Learners

Jad Bendarkawi, Ashley Ponce, Sean Mata +6

Group conversations are valuable for second language (L2) learners as they provide opportunities to practice listening and speaking, exercise complex turn-taking skills, and experi…

cs.CY2025

FareShare: A Tool for Labor Organizers to Estimate Lost Wages and Contest Arbitrary AI and Algorithmic Deactivations

Varun Nagaraj Rao, Samantha Dalal, Andrew Schwartz +3

What happens when a rideshare driver is suddenly locked out of the platform connecting them to riders, wages, and daily work? Deactivation-the abrupt removal of gig workers' platfo…

cs.HC2025

Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations

Indu Panigrahi, Sunnie S. Y. Kim, Amna Liaqat +4

Explanations for computer vision models are important tools for interpreting how the underlying models work. However, they are often presented in static formats, which pose challen…

cs.HC2025★ 20 cited

ARctic Escape: Promoting Social Connection, Teamwork, and Collaboration Using a Co-Located Augmented Reality Escape Room

Theodore Knoll, Amna Liaqat, Andrés Monroy-Hernández

We present ARctic Escape, a co-located augmented reality (AR) escape room designed to promote collaboration between dyads through play. While physical escape rooms provide groups w…

cs.HC2025★ 52 cited

Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies

Sunnie S. Y. Kim, Jennifer Wortman Vaughan, Q. Vera Liao +2

Large language models (LLMs) can produce erroneous responses that sound fluent and convincing, raising the risk that users will rely on these responses as if they were correct. Mit…

cs.HC2024

Understanding Young People's Creative Goals with Augmented Reality

Amna Liaqat, Fannie Liu, Brian Berengard +2

Young people are major consumers of Augmented Reality (AR) tools like Pokémon GO, but they rarely engage in creating these experiences. Creating with technology gives young people…

cs.HC2024★ 2 cited

Mapping the Landscape of Independent Food Delivery Platforms in the United States

Yuhan Liu, Amna Liaqat, Owen Xingjian Zhang +5

Beyond the well-known giants like Uber Eats and DoorDash, there are hundreds of independent food delivery platforms in the United States. However, little is known about the sociote…

cs.HC2023★ 1 cited

Should Policymakers be Involved? Understanding the Opinions and Needs for Independent Food Delivery Platforms in the United States regarding Public Policy

Yuhan Liu, Amna Liaqat, Andrés Monroy-Hernández

Mainstream food delivery platforms, like DoorDash and Uber Eats, have been the locus of fierce policy debates about their unfair business and labor practices. At the same time, hun…