2 citations · 3 across the 3 of their papers we have counts for
4 papers
From Use to Oversight: How Mental Models Influence User Behavior and Output in AI Writing Assistants
Shalaleh Rismani, Su Lin Blodgett, Q. Vera Liao +2
AI-based writing assistants are ubiquitous, yet little is known about how users' mental models shape their use. We examine two types of mental models -- functional or related to wh…
Results-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild
Willem van der Maden, Malak Sadek, Ziang Xiao +3
How do product teams evaluate LLM-powered products? As organizations integrate large language models (LLMs) into digital products, their unpredictable nature makes traditional eval…
As Confidence Aligns: Exploring the Effect of AI Confidence on Human Self-confidence in Human-AI Decision Making
Jingshu Li, Yitian Yang, Q. Vera Liao +2
Complementary collaboration between humans and AI is essential for human-AI decision making. One feasible approach to achieving it involves accounting for the calibrated confidence…
"It was 80% me, 20% AI": Seeking Authenticity in Co-Writing with Large Language Models
Angel Hsing-Chi Hwang, Q. Vera Liao, Su Lin Blodgett +2
Given the rising proliferation and diversity of AI writing assistance tools, especially those powered by large language models (LLMs), both writers and readers may have concerns ab…