activity
20182023
most citedWhat Makes a Good Conversation? Challenges in Designing Truly Conversational Agents

457 citations · 1.1k across the 18 of their papers we have counts for

collaborators

20 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.HC2023★ 52 cited

Defending Against the Dark Arts: Recognising Dark Patterns in Social Media

Thomas Mildner, Merle Freye, Gian-Luca Savino +3

Interest in unethical user interfaces has grown in HCI over recent years, with researchers identifying malicious design strategies referred to as ''dark patterns''. While such stra…

cs.HC2023★ 80 cited

About Engaging and Governing Strategies: A Thematic Analysis of Dark Patterns in Social Networking Services

Thomas Mildner, Gian-Luca Savino, Philip R. Doyle +2

Research in HCI has shown a growing interest in unethical design practices across numerous domains, often referred to as ``dark patterns''. There is, however, a gap in related lite…

cs.HC2022★ 5 cited

Bilingual by default: Voice Assistants and the role of code-switching in creating a bilingual user experience

Helin Cihan, Yunhan Wu, Paola Peña +2

Conversational User Interfaces such as Voice Assistants are hugely popular. Yet they are designed to be monolingual by default, lacking support for, or sensitivity to, the bilingua…

cs.CL2021

An Empirical Study of Topic Transition in Dialogue

Mayank Soni, Brendan Spillane, Emer Gilmartin +3

Transitioning between topics is a natural component of human-human dialog. Although topic transition has been studied in dialogue for decades, only a handful of corpora based studi…

cs.HC2021★ 5 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.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.CL2021★ 3 cited

Enhancing Self-Disclosure In Neural Dialog Models By Candidate Re-ranking

Mayank Soni, Benjamin Cowan, Vincent Wade

Neural language modelling has progressed the state-of-the-art in different downstream Natural Language Processing (NLP) tasks. One such area is of open-domain dialog modelling, neu…

cs.HC2021

Eliciting Spoken Interruptions to Inform Proactive Speech Agent Design

Justin Edwards, Christian Janssen, Sandy Gould +1

Current speech agent interactions are typically user-initiated, limiting the interactions they can deliver. Future functionality will require agents to be proactive, sometimes inte…

cs.HC2021★ 75 cited

Eliciting and Analysing Users' Envisioned Dialogues with Perfect Voice Assistants

Sarah Theres Völkel, Daniel Buschek, Malin Eiband +2

We present a dialogue elicitation study to assess how users envision conversations with a perfect voice assistant (VA). In an online survey, N=205 participants were prompted with e…

cs.HC2021★ 50 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.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…

cs.HC2020

Quantifying the Impact of Making and Breaking Interface Habits

Diego Garaialde, Christopher P. Bowers, Charlie Pinder +4

The frequency with which people interact with technology means that users may develop interface habits, i.e. fast, automatic responses to stable interface cues. Design guidelines o…

cs.HC2019★ 90 cited

Mapping Perceptions of Humanness in Speech-Based Intelligent Personal Assistant Interaction

Philip R. Doyle, Justin Edwards, Odile Dumbleton +2

Humanness is core to speech interface design. Yet little is known about how users conceptualise perceptions of humanness and how people define their interaction with speech interfa…

cs.HC2019★ 6 cited

Multitasking with Alexa Multitasking with Alexa: How Using Intelligent Personal Assistants Impacts Language-based Primary Task Performance

Justin Edwards, He Liu, Tianyu Zhou +4

Intelligent personal assistants (IPAs) are supposed to help us multitask. Yet the impact of IPA use on multitasking is not clearly quantified, particularly in situations where prim…

cs.HC2019★ 44 cited

What's in an accent? The impact of accented synthetic speech on lexical choice in human-machine dialogue

Benjamin R. Cowan, Philip Doyle, Justin Edwards +5

The assumptions we make about a dialogue partner's knowledge and communicative ability (i.e. our partner models) can influence our language choices. Although similar processes may…

cs.HC2019★ 457 cited

What Makes a Good Conversation? Challenges in Designing Truly Conversational Agents

Leigh Clark, Nadia Pantidi, Orla Cooney +8

Conversational agents promise conversational interaction but fail to deliver. Efforts often emulate functional rules from human speech, without considering key characteristics that…

cs.HC2018★ 188 cited

The State of Speech in HCI: Trends, Themes and Challenges

Leigh Clark, Phillip Doyle, Diego Garaialde +7

Speech interfaces are growing in popularity. Through a review of 68 research papers this work maps the trends, themes, findings and methods of empirical research on speech interfac…