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Yunxing Liu

dblp:283/4737 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0002-3797-9510ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Human-AI interaction · 62% Immersive interaction · 19% Design research and methods · 19%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-AI interaction › conversational systems
conversational interface
0.812024
Conversation-based hybrid UI for the repertory grid technique: A lab experiment into automation of qualitative surveys · Int. J. Hum. Comput. Stud. 2024
Immersive interaction › mixed reality interaction
hybrid user interface
0.212024
Conversation-based hybrid UI for the repertory grid technique: A lab experiment into automation of qualitative surveys · Int. J. Hum. Comput. Stud. 2024

Methods — techniques the papers use, named apart from their topics

repertory grid technique · 0.8
YearPublicationVenuePosition
2025 f-KGQA: A fuzzy question answering system for knowledge graphs
Ruizhe Ma, Yunxing Liu, Zongmin Ma 0001
Fuzzy Sets Syst.2
2024 Conversation-based hybrid UI for the repertory grid technique: A lab experiment into automation of qualitative surveys
abstract
A frequent use of conversational user interfaces (CUIs) today is improving the users’ experience with online quantitative surveys. In this paper, we explore the use of CUIs in qualitative surveys. As a concrete use case, we adopt a specific, well-structured, qualitative research method called the repertory grid technique (RGT). We developed a hybrid user interface (HUI) that combines a graphical user interface (GUI) with a CUI to automate the distinct stages in a RGT survey. A pilot study was used to verify the feasibility of the approach and to fine-tune interface aspects of an initial prototype. In this paper, we report the results of a within-subject lab experiment with 24 participants that aimed to establish the performance and UX in a realistic context of a more advanced prototype. We observed a small decrease in UX in some hedonistic aspects, but also confirmed that the HUI performs similarly to a human agent in most pragmatic aspects. These results provide support for our hypothesis that automating qualitative surveys is possible with proper interface design. We hope that our work can inspire other researchers to design additional tools for qualitative survey automation, especially now that generative AI systems, such as ChatGPT, open up interesting new ways for computer systems to interact with users in natural language.
Yunxing Liu, Jean-Bernard Martens
Int. J. Hum. Comput. Stud.1