31 citations · 46 across the 10 of their papers we have counts for
10 papers
Drag or Traction: Understanding How Designers Appropriate Friction in AI Ideation Outputs
A. Baki Kocaballi, Joseph Kizana, Sharon Stein +1
Seamless AI presents output as a finished, polished product that users consume rather than shape. This risks design fixation: users anchor on AI suggestions rather than generating…
"I'm happy even though it's not real": GenAI Photo Editing as a Remembering Experience
Yufeng Wu, Qing Li, Elise van den Hoven +1
Generative Artificial Intelligence (GenAI) is increasingly integrated into photo applications on personal devices, making editing photographs easier than ever while potentially inf…
Recommendation-as-Experience: A framework for context-sensitive adaptation in conversational recommender systems
Raj Mahmud, Shlomo Berkovsky, Mukesh Prasad +1
While Conversational Recommender Systems (CRS) have matured technically, they frequently lack principled methods for encoding latent experiential aims as adaptive state variables.…
Making AI Functional with Workarounds: An Insider's Account of Invisible Labour in Organisational Politics
Shang Chieh Lee, Bhuva Narayan, Simon Buckingham Shum +2
Research on the implementation of Generative Artificial Intelligence (GenAI) in higher education often focuses on strategic goals, overlooking the hidden, and often politically cha…
Unplug, Mute, Avoid: Investigating smart speaker users' privacy protection behaviours in Saudi Homes
Abdulrhman Alorini, Yufeng Wu, Abdullah Bin Sawad +2
Smart speakers are increasingly integrated into domestic life worldwide, yet their privacy risks remain underexplored in non-Western cultural contexts. This study investigates how…
Evaluating User Experience in Conversational Recommender Systems: A Systematic Review Across Classical and LLM-Powered Approaches
Raj Mahmud, Yufeng Wu, Abdullah Bin Sawad +3
Conversational Recommender Systems (CRSs) are receiving growing research attention across domains, yet their user experience (UX) evaluation remains limited. Existing reviews large…
Understanding User Preferences for Interaction Styles in Conversational Recommender Systems: The Predictive Role of System Qualities, User Experience, and Traits
Raj Mahmud, Shlomo Berkovsky, Mukesh Prasad +1
Conversational Recommender Systems (CRSs) deliver personalised recommendations through multi-turn natural language dialogue and increasingly support both task-oriented and explorat…
Conversational AI-Powered Design: ChatGPT as Designer, User, and Product
A. Baki Kocaballi
The recent advancements in Large Language Models (LLMs), particularly conversational LLMs like ChatGPT, have prompted changes in a range of fields, including design. This study aim…
Automatic Speech Summarisation: A Scoping Review
Dana Rezazadegan, Shlomo Berkovsky, Juan C. Quiroz +4
Speech summarisation techniques take human speech as input and then output an abridged version as text or speech. Speech summarisation has applications in many domains from informa…
Empirical Analysis of Zipf's Law, Power Law, and Lognormal Distributions in Medical Discharge Reports
Juan C Quiroz, Liliana Laranjo, Catalin Tufanaru +4
Bayesian modelling and statistical text analysis rely on informed probability priors to encourage good solutions. This paper empirically analyses whether text in medical discharge…