Oct 2026· Proceedings of the 14th Nordic Conference on Human-Computer Interaction· 0 citations· 44 references
TL;DR
Insight into agency and roles in generative human-computer interaction, articulate form languages as constructs for designing generative systems, and implications for creativity support tools to empower users as explorers of possibility spaces are contributed.
Abstract
Most generative AI tools focus on producing single artifacts through slot‑machine–like prompting, limiting creative agency and distancing users from reflective exploration. We instead investigate how a procedural content generation–based tool can support engagement with possibility spaces rather than isolated outputs. Through constructive design research, we developed Asemic (Figure 1 a-c), a generative design tool enabling users to configure and navigate stylistically coherent form languages. We evaluated Asemic through two explorative studies; a qualitative lab study with six participants and an online deployment with 43 respondents. Findings suggest that Asemic supports meaningful exploration of generative spaces and helps users discover coherent families of shapes. However, users also faced challenges regarding fine‑grained control, goal‑directed tasks, and learning the skeleton‑based interface. We contribute insights into agency and roles in generative human-computer interaction, articulate form languages as constructs for designing generative systems, and discuss implications for creativity support tools to empower users as explorers of possibility spaces.
GenAI creativity support tools often condition inspiration solely on user input, which can narrow exploration and contribute to fixation. We designed Magic Easel, a tangible creativity support tool that introduces the physical environment as an additional input source by detecting environmental objects and semantically...
L. Purnamasari, Han-Ke Chen, Shivani Kannan et al.· Proceedings of the 14th Nord...· 0 citations
This work investigates the design process of data artists through three complementary studies and finds that stories and visual forms develop together through data exploration, reference adaptation, sketching, and prototyping, which inform tools connecting stories, references, and real data.
Tian-Wei Ma, A. Offenwanger, Naimul Hoque· 0 citations
This paper investigates the role of generative AI as a co-creative design partner with children (aged 9-12) to envision child-centric school streets. Drawing on future studies that highlight how diverse ways of imagining shape human perception, we examine how AI-mediated speculation reshapes co-design & participatory d...
C. Tandon, Charu Monga· International Conference on...· 0 citations
Reflection plays a crucial role in self-directed learning (SDL), enabling learners to connect past experiences, understand present actions, and set future goals. Metaphors can support this reflective process by offering a way to conceptualize learning that may be difficult to express directly, particularly when affecti...
Haruka Ubukata, Emily A. Marzin· Studies in Self-Access Learn...· 0 citations
C cultivation is proposed : a design metaphor in which LLM-generated branches are stored as persistent material for authors to shape through iterative curation, and reflects on how this metaphor reframes human-AI creative collaboration: authors become garden-ers, tending ever-growing branches rather than constraining e...
As Generative AI (GenAI) expands beyond individual workflows and becomes increasingly integrated into collaborative creative work, its potential to address the fundamental challenge of building common ground among creators with diverse expertise remains underexplored. Specifically, we lack empirical understanding of ho...
Hajun Kim, Jini Kim, Y. J. Choi· Proceedings of the ACM on Hu...· 0 citations
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