activity
20202023
most citedSee what I'm saying? Comparing Intelligent Personal Assistant use for Native and Non-Native Language Speakers

46 citations · 93 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2023★ 10 cited

The Partner Modelling Questionnaire: A validated self-report measure of perceptions toward machines as dialogue partners

Philip R. Doyle, Iona Gessinger, Justin Edwards +7

Recent work has looked to understand user perceptions of speech agent capabilities as dialogue partners (termed partner models), and how this affects user interaction. Yet, current…

cs.HC2021★ 2 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.HC2020★ 11 cited

Finally a Case for Collaborative VR?: The Need to Design for Remote Multi-Party Conversations

Anna Bleakley, Vincent Wade, Benjamin R. Cowan

Amid current social distancing measures requiring people to work from home, there has been renewed interest on how to effectively converse and collaborate remotely utilizing curren…

cs.HC2020★ 24 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.HC2020★ 46 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…