activity
20242026
most citedA Taxonomy for Human-LLM Interaction Modes: An Initial Exploration

55 citations · 56 across the 9 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.HC2026

CoBranchMR: Supporting Parallel Design and Conflict Resolution in Mixed Reality

Niloofar Sayadi, Kaiyuan Tang, Yunhao Xing +3

We present CoBranchMR, a mixed reality (MR) system that enables distributed collaborators to work in parallel from different locations on the same digital representation of a physi…

cs.HC2026

Stayin' Aligned Over Time: Towards Longitudinal Human-LLM Alignment via Contextual Reflection and Privacy-Preserving Behavioral Data

Simret Araya Gebreegziabher, Allison E Sproul, Yinuo Yang +3

Current human-AI alignment and evaluation methods for large language models (LLMs) often rely on preference signals collected immediately after an interaction. This practice implic…

cs.HC2026

MultEval: Supporting Collaborative Alignment for LLM-as-a-Judge Evaluation Criteria

Charles Chiang, Simret Gebreegziabher, Annalisa Szymanski +6

LLM-as-a-judge approaches have emerged as a scalable solution for evaluating model behaviors, yet they rely on evaluation criteria often created by a single individual, embedding t…

cs.HC2026

Comparing Human Oversight Strategies for Computer-Use Agents

Chaoran Chen, Zhiping Zhang, Zeya Chen +9

LLM-powered computer-use agents (CUAs) shift users from direct manipulation to supervising an unfolding action sequence, yet existing oversight research mostly evaluates static dec…

cs.HC2026

The Behavioral Fabric of LLM-Powered GUI Agents: Human Values and Interaction Outcomes

Simret Araya Gebreegziabher, Yukun Yang, Charles Chiang +7

Large Language Model (LLM)-powered web GUI agents are increasingly automating everyday online tasks. Despite their popularity, little is known about how users' preferences and valu…