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20242026
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cs.HC2026

Revibing Code from Papers: Reimplementing HCI Artifacts

Eytan Adar, Yoonjoo Lee, Ning-Er +4

Software artifacts for most technical HCI research projects are unavailable. The lack of access to these imposes limits on academic knowledge production. It is difficult to: extend…

cs.HC2026

Evaluating Affective Objectives: Statistical Numbing in Data Visualization

Elsie Lee-Robbins, Eytan Adar

Visualizations can help audiences understand the scale of tragedies, such as the consequences of natural disasters, war, genocide, and pandemics. In these cases, a visualization de…

cs.HC2026

Beyond Screenshots: Evaluating VLMs' Understanding of UI Animations

Chen Liang, Xirui Jiang, Naihao Deng +2

AI agents operating on user interfaces must understand how interfaces communicate state and feedback to act reliably. As a core communicative modality, animations are increasingly…

cs.HC2026

Assessing Affective Objectives for Communicative Visualizations

Elsie Lee-Robbins, Eytan Adar

Using learning objectives to define designer intents for communicative visualizations can be a powerful design tool. Cognitive and affective objectives are concrete and specific, w…

cs.HC2025

QuizRank: Picking Images by Quizzing VLMs

Tenghao Ji, Eytan Adar

Images play a vital role in improving the readability and comprehension of Wikipedia articles by serving as `illustrative aids.' However, not all images are equally effective and n…

cs.HC2025

Exploring Bridges Between Algorithmic and AI-generated Art

Jiaqi Wu, Eytan Adar

In this paper, we bridge algorithmic and AI art by adding functionality to the creative coding environment. We create two systems that demonstrate how AI features can enhance algor…