Research Catalogue

Unstable Systems Instability can be a creative force in art, design, and architecture. Artists, designers, and scholars work both with and against systems that are ever-changing, fragile, or unpredictable. Whether dealing with technological systems, ecosystems, social structures, or sensory experiences, instability is often a prerequisite for creation. Instability opens pathways for new ideas and processes, reshaping how we approach and redesign the systems that shape our lives. It can also refer to the creative act itself—one that does not follow predetermined trajectories or established norms. Art, design, and architecture serve as tools to disrupt stable systems and/or shed new light on systems that appear stable but in reality, they are not. No system is truly stable, and when we resist that instability, it becomes a problem. Instability is perhaps the only certainty we can rely on. Hugarflug 2025, the annual conference on artistic research, will take place on September 11–12. It will serve as a platform for research that engages with instability across various systems—from technological advancements such as AI and interactive systems to issues related to politics, society, and the environment. We will explore how instability functions as a tool for generating new possibilities while also fueling unrest and transformation within society and academia. The Iceland University of the Arts invites proposals of all kinds, including presentations of ongoing or completed research by our faculty, students, and collaborators.

In these works I have explored how I can relate to my environment through my daily practices of teaching, eating, animating etc. I begun the project by improvising lectures for various audiences I wanted to have input from. I have lectured to all possible enteties in the ecosystem I am a part of, from blueberries to colleagues to films. Every time something new continues to take shape. The exposition include essays, paintings and animations.

Great Sweetness is a written companion of the artistic research project Night of Dark Angels, which investigates how erotic mysticism, queer vampire narratives, and somatic performance can function as modes of embodied knowledge. The text explores “great sweetness” as a recurring motif in hagiographic writings of mystics and in queer vampire literature, where ecstatic pleasure, abjection, and desire exceed normative frameworks of sexuality, subjectivity, and transcendence. Drawing on Lacanian jouissance and Julia Kristeva’s concept of abjection, the research approaches great sweetness as an excessive affective state—simultaneously pleasurable and disturbing—that destabilizes boundaries between self and other, sacred and profane, human and non-human. Methodologically, the text operates through a situated, phenomenological, and autoethnographic approach, treating writing not as representation but as a performative practice that accompanies and informs artistic experimentation. Great Sweetness functions as a conceptual and affective archive that feeds directly into the development of experimental somatic LARP (Live Action Role Play) scores within Night of Dark Angels. This LARP experiment translates textual research into collective, embodied situations, where figures of mystics and queer vampires are enacted as tools for exploring vulnerability, monstrosity, care, and resistance. Rather than aiming at theoretical closure, the text proposes great sweetness as a mode of embodied thinking—one that foregrounds process, relationality, and affect, and that opens artistic research toward antifascist, feminist, and queer forms of collective imagination and practice.

As interaction with corporate artificial intelligence increasingly becomes a precondition for contemporary life, artists need to see beyond Generative AI (GenAI) technology as a discrete tool that makes generic products. Instead, they can imagine combinatorial approaches and conceptual frameworks for AI-enabled artworks. Through my practice-based research, the act of prompting multimodal GenAI models has been informed by comprehending an assemblage as a “framework of instruction” held together through poetic alliances, within which the output from one component feeds the process of another. Practical experiments explored an interrelation of body, text, and predictive technology, where an algorithmic prediction of human action conjured “biometric poetry” that was used to stimulate a language model. Working with archival film footage and digital puppets animated with motion-capture files gave rise to the idea of a camera’s field of view – with its bounded contents acting like a key – eliciting value from a language model in a novel form of story making. Potential erroneous inferences were perceived as a new form of chance operation and a characteristic of algorithmic remix as defined by Steve F. Anderson. This method has been further developed in a project that combines performance, waste material, object recognition, and a language model to explore how the manipulation of garbage can be rationalised by a machine to produce poetic texts as a commentary to action portrayed on a screen.

This paper delves into the dynamics and dramaturgical specifications of ANA, a theatrical installation engineered for co-creating narratives in a dialogic process with individual users. ANA embodies a collaborative storytelling environment that is used to communicate narrative and emotional information through multiple modalities, thereby bringing into focus an unexpectedly human essence in a human-machine interaction. Integrating GPT-4, emotion-recognition algorithms and a simulation of its own affective state, ANA engages users in a 10-minute interaction, fostering an immersive narrative exchange where the affective dimension of collaborative storytelling takes precedence. This paper explores the specific challenges of prompt design in this setting, focusing on the concept of emotional attuning, the feeling of being “in sync” with a machine throughout the interaction. Through an analytical lens encompassing cognitive science, philosophy of mind, and prompting techniques, the authors describe and reflect practices of employing multimodal sensorial data such as emotion recognition, and dramatic considerations, into the process of designing prompts. They also describe and reflect on their attempts to establish a form of meta-communication with the machine about the emotional aspects of the experience. By focusing on dramaturgical and improvisational strategies, this paper underscores the pivotal significance of emotional attunement and multimodal communication in fostering intimate technological engagement.

How useful can AI be at this present moment to generate assignments or instructions to teach and train people to live more playful, creative and ethical lives? In this artistic research, I try to put aside fears of a dystopian future in which runaway AI assumes control over humanity, and suspend them long enough to play with the idea of reversing the usual dynamic: what if AI were to instruct us, instead of us instructing AI? What kind of positive outcomes could emerge? I borrow from traditions of instruction art and avant-garde art, and I employ discursive practices that alternate between techno-enthusiastic and techno-skeptical. The AI tool ChatGPT and I hold conversations in which we explore the research question together, and in which I prompt ChatGPT to issue me instructions, then I describe the process and result of executing the instructions.