activity
20232026
most citedWhen combinations of humans and AI are useful: A systematic review and meta-analysis

493 citations · 560 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC2026

Graphionale: How Graph Visualizations of LLM Rationales Affect Human Decision Making

Xinru Wang, Zhexuan Ma, Ming Yin +2

Large Language Models (LLMs) are increasingly equipped with augmented reasoning capabilities to generate rationales that support human decision-making. Yet these text-dense rationa…

cs.HC2025

Togedule: Scheduling Meetings with Large Language Models and Adaptive Representations of Group Availability

Jaeyoon Song, Zahra Ashktorab, Thomas W. Malone

Scheduling is a perennial-and often challenging-problem for many groups. Existing tools are mostly static, showing an identical set of choices to everyone, regardless of the curren…

cs.HC2024★ 493 cited

When combinations of humans and AI are useful: A systematic review and meta-analysis

Michelle Vaccaro, Abdullah Almaatouq, Thomas Malone

Inspired by the increasing use of AI to augment humans, researchers have studied human-AI systems involving different tasks, systems, and populations. Despite such a large body of…

cs.HC2024★ 55 cited

A Taxonomy for Human-LLM Interaction Modes: An Initial Exploration

Jie Gao, Simret Araya Gebreegziabher, Kenny Tsu Wei Choo +3

With ChatGPT's release, conversational prompting has become the most popular form of human-LLM interaction. However, its effectiveness is limited for more complex tasks involving r…

cs.AI2023★ 12 cited

Supermind Ideator: Exploring generative AI to support creative problem-solving

Steven R. Rick, Gianni Giacomelli, Haoran Wen +9

Previous efforts to support creative problem-solving have included (a) techniques (such as brainstorming and design thinking) to stimulate creative ideas, and (b) software tools to…