works on

From the 1 of 7 linked papers with an AI index.

activity
20242026
collaborators

7 papers

cs.CY2026

Context and Symmetry in Auditing: A Case Study of Skeleton Inference in Motion Capture

Emma Harvey, Emanuel Moss, Hauke Sandhaus +2

Humans are increasingly expected to interact with AI systems that observe and make inferences about them - but do these systems actually work? A standard approach to answering this…

cs.CY2026

"Nobody Did This": Contribution, Originality, and Accountability in Agent-Mediated Collaboration

Kashif Imteyaz, Mohammad Rashidujjaman Rifat, Divya Ramesh +6

The paper discusses how large language model agents embedded in collaborative knowledge work can blur who contributed what, making it hard to attribute originality and hold partici…

cs.HC2026

Visible Adoption, Untracked Contribution: GitHub Evidence of the Accountability Gap Across Three Cohorts of an HCI Prototyping Course

Maria Teresa Parreira, Pranav Prabhat Sinha, Hauke Sandhaus +1

This paper presents a longitudinal, observational case study of how student GenAI adoption shifted across three cohorts (Fall 2022, 2023, and 2025) of the same graduate-level HCI p…

cs.CY2025

Privacy of Groups in Dense Street Imagery

Matt Franchi, Hauke Sandhaus, Madiha Zahrah Choksi +3

Spatially and temporally dense street imagery (DSI) datasets have grown unbounded. In 2024, individual companies possessed around 3 trillion unique images of public streets. DSI da…

cs.HC2025

Co-Designing with Algorithms: Unpacking the Complex Role of GenAI in Interactive System Design Education

Hauke Sandhaus, Quiquan Gu, Maria Teresa Parreira +1

Generative Artificial Intelligence (GenAI) is transforming Human-Computer Interaction (HCI) education and technology design, yet its impact remains poorly understood. This study ex…

cs.HC2025

My Precious Crash Data: Barriers and Opportunities in Encouraging Autonomous Driving Companies to Share Safety-Critical Data

Hauke Sandhaus, Angel Hsing-Chi Hwang, Wendy Ju +1

Safety-critical data, such as crash and near-crash records, are crucial to improving autonomous vehicle (AV) design and development. Sharing such data across AV companies, academic…