activity
20182021
most citedWhat Makes a Good Conversation? Challenges in Designing Truly Conversational Agents

457 citations · 596 across the 7 of their papers we have counts for

collaborators

11 papers

cs.HC20215 cited

CUI @ Auto-UI: Exploring the Fortunate and Unfortunate Futures of Conversational Automotive User Interfaces

Justin Edwards, Philipp Wintersberger, Leigh Clark +6

This work aims to connect the Automotive User Interfaces (Auto-UI) and Conversational User Interfaces (CUI) communities through discussion of their shared view of the future of aut…

cs.HC20212 cited

Bridging Social Distance During Social Distancing: Exploring Social Talk and Remote Collegiality in Video Conferencing

Anna Bleakley, Daniel Rough, Justin Edwards +6

Video conferencing systems have long facilitated work-related conversations among remote teams. However, social distancing due to the COVID-19 pandemic has forced colleagues to use…

cs.HC202150 cited

What Do We See in Them? Identifying Dimensions of Partner Models for Speech Interfaces Using a Psycholexical Approach

Philip R Doyle, Leigh Clark, Benjamin R Cowan

Perceptions of system competence and communicative ability, termed partner models, play a significant role in speech interface interaction. Yet we do not know what the core dimensi…

cs.HC202024 cited

Mental Workload and Language Production in Non-Native Speaker IPA Interaction

Yunhan Wu, Justin Edwards, Orla Cooney +5

Through proliferation on smartphones and smart speakers, intelligent personal assistants (IPAs) have made speech a common interaction modality. Yet, due to linguistic coverage and…

cs.HC202046 cited

See what I'm saying? Comparing Intelligent Personal Assistant use for Native and Non-Native Language Speakers

Yunhan Wu, Daniel Rough, Anna Bleakley +5

Limited linguistic coverage for Intelligent Personal Assistants (IPAs) means that many interact in a non-native language. Yet we know little about how IPAs currently support or hin…

cs.HC202012 cited

Transparency in Language Generation: Levels of Automation

Justin Edwards, Allison Perrone, Philip R. Doyle

Language models and conversational systems are growing increasingly advanced, creating outputs that may be mistaken for humans. Consumers may thus be misled by advertising, media r…