VLDB 2026 Research / reviewers in the wild / expert
Gabriel Vigliensoni
dblp:48/9955
· DBLP profile ↗
7ranked-venue papers
2as first author
6since 2021 · last 2026
0000-0003-0274-4356ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 4 · 4 since 2021Applied, interdisciplinary, general and emerging computing · 3 · 2 first-author · 2 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Mapping AI Integration in Professional Design WorkflowsabstractArtificial intelligence (AI) is increasingly present in professional design environments, yet much of the discussion around AI in design focuses on questions of creativity rather than changes to work structure. This paper examines the integration of AI within professional design workflows, investigating where and how AI systems are integrated into design processes. Based on a literature-derived workflow baseline and semi-structured interviews with five professional designers, this paper proposes a workflow-based taxonomy of AI touchpoints across professional design stages, classifying AI involvement by task type and its effect on workflow organization. The findings indicate that AI participation is distributed across research, ideation, development, and production stages, where it redistributes task execution, reduces time spent on technical production, and shifts designers toward selection, evaluation, and decision-making tasks. This paper contributes a framework for understanding AI integration in design practice as a structural change to artifact flow and professional accountability. George Kerasias, Gabriel Vigliensoni |
Creativity & Cognition | 2 |
| 2026 | Explainable AI for the Arts 4 (XAIxArts4)abstractThe fourth workshop on Explainable AI for the Arts (XAIxArts) continues to bring together and expand a community of researchers and creative practitioners in Human-Computer Interaction (HCI), Interaction Design, AI, eXplainable AI (XAI), and Digital Arts to explore the role of XAI for the Arts. XAI is a key concern of Responsible and Human-Centred AI, emphasising HCI techniques that make opaque AI models more understandable to people. XAIxArts offers a distinctive lens to examine explainability through creative and artistic domains. The previous workshops explored the landscape and the speculative futures of AI in creative processes. To respond to emerging challenges and contribute to creative and societal transformation more broadly, this workshop focuses on the operationalisation of XAI in the Arts. Specifically, we will: i) critically reflect on emerging practices that encourage diversity and inclusivity in XAI; ii) collectively ideate a library of missing projects to encourage future collaborations and speculations; iii) scope the development of a resource hub for open XAIxArts projects to archive tangible XAI interventions and facilitate future community building with the wider discourse on Human-Centred AI. Shuoyang Jasper Zheng, Terence Broad, Elizabeth Wilson, Adam Cole, Ziqing Xu, Jia-Rey Chang, Gabriel Vigliensoni, Jeba Rezwana, Lanxi Xiao, Michael Paul Clemens, Makayla Lewis, Alan Chamberlain, Helen Kennedy, Corey Ford 0002, Nick Bryan-Kinns |
Creativity & Cognition | 7 |
| 2025 | Explainable AI for the Arts 3 (XAIxArts3)abstractThe third workshop on Explainable AI for the Arts (XAIxArts) continues to bring together and expand a community of researchers and creative practitioners in Human-Computer Interaction (HCI), Interaction Design, AI, explainable AI (XAI), and Digital Arts to explore the role of XAI for the Arts.XAI is a key concern of Responsible and Human-Centred AI, emphasising the use of HCI techniques to explore how to make complicated and opaque AI models more understandable to people.The previous workshops moved from mapping the landscape of XAI for the Arts to co-developing an XAIxArts manifesto.To continue driving discourse on XAIxArts, the anticipated outcomes of this workshop are: i) fresh insights into the evolving challenges of AI bias, lack of transparency and barriers to inclusivity through discussion of current and emerging XAIxArts practices; ii) co-developed speculative futures which expand XAIxArts discourse beyond post-hoc rationalisations of AI decisions into the imaginative possibilities of AI as an interlocutor in the creative process; iii) plans for a co-developed proposal of an edited book on XAIxArts; and iv) community expansion and engagement in wider discourses on Responsible and Human-Centred AI. Corey Ford 0002, Elizabeth Wilson, Shuoyang Zheng, Gabriel Vigliensoni, Jeba Rezwana, Lanxi Xiao, Michael Paul Clemens, Makayla Lewis, Drew Hemment, Alan Chamberlain, Helen Kennedy, Nick Bryan-Kinns |
Creativity & Cognition | 4 |
| 2025 | Embedding visual thinking into an AI-driven furniture design critiquing system
Vuong H. Nguyen, Gabriel Vigliensoni |
ICCC | 2 |
| 2024 | Explainable AI for the Arts 2 (XAIxArts2)abstractThis second workshop on explainable AI for the Arts (XAIxArts) brings together a community of researchers and creative practitioners in Human-Computer Interaction (HCI), Interaction Design, AI, explainable AI (XAI), and Digital Arts to explore the role of XAI for the Arts. XAI is a core concern of Human-Centred AI and relies heavily on HCI techniques to explore how to make complex and difficult to understand AI models more understandable to people. Our first workshop explored the landscape of XAIxArts and identified emergent themes. To move the discourse on XAIxArts forward and to contribute to Human-Centred AI more broadly this workshop will: i) bring researchers together to expand the XAIxArts community; ii) collect and critically reflect on current and emerging XAIxArts practice; iii) co-develop a manifesto for XAIxArts; iv) co-develop a proposal for an edited book on XAIxArts; v) engage with the wider discourse on Human-Centred AI. Nick Bryan-Kinns, Corey Ford 0002, Shuoyang Zheng, Helen Kennedy, Alan Chamberlain, Makayla Lewis, Drew Hemment, Lanxi Xiao, Gus G. Xia, Jeba Rezwana, Michael Paul Clemens, Gabriel Vigliensoni |
Creativity & Cognition | 14 |
| 2023 | Steering latent audio models through interactive machine learning
Gabriel Vigliensoni, Rebecca Fiebrink |
ICCC | 1 |
| 2020 | Creating Latent Spaces for Modern Music Genre Rhythms Using Minimal Training Data
Gabriel Vigliensoni, Louis McCallum, Rebecca Fiebrink |
ICCC | 1 |