most citedTrust in Human-AI Interaction: Scoping Out Models, Measures, and Methods

86 citations · 256 across the 6 of their papers we have counts for

collaborators

8 papers

cs.RO202242 cited

Voice Over Body? Older Adults' Reactions to Robot and Voice Assistant Facilitators of Group Conversation

Katie Seaborn, Takuya Sekiguchi, Seiki Tokunaga +2

Intelligent agents have great potential as facilitators of group conversation among older adults. However, little is known about how to design agents for this purpose and user grou…

cs.RO202248 cited

What Pronouns for Pepper? A Critical Review of Gender/ing in Research

Katie Seaborn, Alexa Frank

Gender/ing guides how we view ourselves, the world around us, and each other--including non-humans. Critical voices have raised the alarm about stereotyped gendering in the design…

cs.HC202286 cited

Trust in Human-AI Interaction: Scoping Out Models, Measures, and Methods

Takane Ueno, Yuto Sawa, Yeongdae Kim +3

Trust has emerged as a key factor in people's interactions with AI-infused systems. Yet, little is known about what models of trust have been used and for what systems: robots, vir…

cs.HC202222 cited

Finding Strategies Against Misinformation in Social Media: A Qualitative Study

Jacqueline Urakami, Yeongdae Kim, Hiroki Oura +1

Misinformation spread through social media has become a fundamental challenge in modern society. Recent studies have evaluated various strategies for addressing this problem, such…

cs.RO2022

Neither "Hear" Nor "Their": Interrogating Gender Neutrality in Robots

Katie Seaborn, Peter Pennefather

Gender is a social framework through which people organize themselves-and non-human subjects, including robots. Research stretching back decades has found evidence that people tend…

cs.HC2022

Gender neutrality in robots: An open living review framework

Katie Seaborn, Peter Pennefather

Gender is a primary characteristic by which people organize themselves. Previous research has shown that people tend to unknowingly ascribe gender to robots based on features of th…