Adrian Preussner
Last Name
Preussner
First name
Adrian
Email
adrian.preussner@unisg.ch
ORCID
Phone
071 224 7210
8 results
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Item type:Publication, Understanding the Imagined City: Exploring How Decision-Makers Can Make Sense of Citizens AI Generated Urban Imaginaries in Citizen Engagement(2026-10)Generative artificial intelligence (GenAI) enables image creation and modification through prompts. Prior research has explored the use of GenAI to support citizens in visualising their ideas for urban development, a concept introduced in this paper as urban imaginaries. Although GenAI holds the potential to foster participation and creativity, there is little research on how decision-makers can turn such urban imaginaries into actionable outcomes. To address this gap, interviews with experts (N=21) in urban design, participatory approaches, and municipal administrations were conducted. The findings reveal reflections on the use of GenAI for participatory urban planning, the limitations of relying solely on urban imaginaries, and the contextual data considered essential for decision-making. Building on these insights, this paper outlines implications for identifying when and how urban imaginaries can be meaningfully integrated into participatory urban planning. These implications aim to support decision-makers in understanding citizens’ needs and translating their visions into meaningful action.Type:conference paperJournal:Nordic Conference on Human-Computer Interaction (NordiCHI ’26) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Connected Words, Shared Journeys: Understanding the Motivations, Practices, and Experiences of Individual and Collaborative Gratitude Journalling Users(2026-03-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, SpeculAR: An In-the-wild Exploration of Users’ Perceptions of a Social Augmented RealityWhile head-mounted augmented reality (AR) glasses are becoming increasingly reliable and relevant for public scenarios, little is known about users’ preferences and perceptions when experiencing AR in social spaces. In this late-breaking work, we investigate users’ perceptions of augmented social environments tailored to their shared interests. Through interviews with 64 participants, we first identified 12 key usage scenarios, which informed the development of SpeculAR, a prototype for an augmented social reality. We then conducted an in-the-wild study with 18 participants to assess their experiences with SpeculAR. Our findings reveal that shared AR scenarios are generally perceived positively and can be seamlessly integrated into real-world environments to augment and further enhance real-world spaces. Our exploration of augmented social spaces highlights important considerations and lays the groundwork for future studies and the realizations of augmented reality applications in everyday lives.Type:conference paperJournal:Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA ’25)Scopus© Citations 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, UrbAI: Exploring the Possibilities of Generative AI Image Processing to Promote Citizen Participation(2025-04-26); ; Giving citizens a voice in urban development processes is crucial for enabling socially sustainable cities and communities. However, citizens’ opportunities to express ideas are often limited to communication channels that offer poor incentives for participation. In this paper, we conducted an in-the-wild technology probe study (N=16) using a generative AI (GenAI) tool to allow citizens to visualise and submit urban development ideas by taking pictures and manipulating them with GenAI. The results highlight the potential of GenAI to empower, engage, and inspire citizens‘ creativity. We then conducted additional expert interviews (N=6) with city representatives and community associates. They voiced GenAI’s value in early-stage citizen participation but raised concerns about excluding senior citizens. Building on these insights, we present the design and evaluation (N=10) of UrbAI, a co-creative system tailored to urban development participation and conclude with lessons learned to inform how GenAI could be embedded in future citizen participation processes.Type:conference paperJournal:CHI Conference on Human Factors in Computing Systems (CHI ’25)Scopus© Citations 11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, MRTranslate: Bridging Language Barriers in the Physical World Using a Mixed Reality Point-and-Translate SystemLanguage barriers pose significant challenges in our increasingly globalized world, hindering effective communication and access to information. Existing translation tools often disrupt the current activity flow and fail to provide seamless user experiences. In this paper, we contribute the design, implementation, and evaluation of \MRTranslate, an assistive Mixed Reality (MR) prototype that enables seamless translations of real-world text. We instructed 12 participants to translate items on a food menu using MRTranslate, which we compared to state-of-the-art translation apps, including Google Translate and Google Lens. Findings from our user study reveal that when utilising a fully functional implementation of MRTranslate, participants achieve success in up to 91.67% of their translations whilst also enjoying the visual translation of the unfamiliar text. Although the current translation apps were well perceived, participants particularly appreciated the convenience of not having to grab a smartphone and manually input the text for translation when using MRTranslate. We believe that MRTranslate, along with the empirical insights we have gained, presents a valuable step towards a future where MR transforms language translation and holds the potential to assist individuals in various day-to-day experiences.Type:conference paper - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Exploring User Perceptions on Visual CO2 Representations as Eco-Feedback in Virtual Reality(2025-04-26); ; ; Eco-feedback interventions primarily focus on lowering energy consumption behaviours instead of considering the impact of CO2 emissions resulting from the overall energy mix of renewable and non-renewable energy sources. Although labelling products with CO2 emission is an effective way for green nudging, consumers often perceive the information as intangible and incomprehensible. In this paper, we study the impact of the visual representation of CO2 equivalences (VisualRepCO2) on customers’ perceptions when choosing an energy supplier in virtual reality (VR) compared to a paper baseline and desktop setup. Our findings indicate that a VisualRepCO2 supports customers of electricity supplies in understanding their impact more comprehensibly and touches them more emotionally than a text label. We conclude by demonstrating lessons learned for future research and offering recommendations to support practitioners in enhancing customers’ understanding of CO2 emissions.Type:conference posterJournal:Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA ’25)Scopus© Citations 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, CitizenVision: A Mobile App to Promote Citizen Engagement with Generative AI(2025-07-05); ; Traditional methods for citizen participation in urban planning rely on written forms or hand-drawn sketches, which can be inaccessible to those without drawing or design skills. This limits the ability of citizens to communicate their visions effectively, leading to missed opportunities for community-driven improvements. We developed CitizenVision, a generative AI-powered app that enables citizens to visualize their ideas for public spaces by marking areas in photos and textual prompts. CitizenVision incorporates features such as map-based project discovery, keyword-based voting, and community idea browsing. A user study with N=19 participants comparing CitizenVision with a traditional paper-based method showed that CitizenVision significantly improves user experience and engagement. We demonstrate how generative AI can be effectively used in participatory urban planning, allowing citizens to express ideas creatively and interact with those of others. Our findings highlight potential and driving factors for developing similar tools and using them effectively for participatory urban design processes.Type:conference posterJournal:Designing Interactive Systems Conference (DIS ’25 Companion)Scopus© Citations 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Examining the Role of "Green Apps" in Fostering Community Engagement for Sustainable HCIResearch in the "Sustainable HCI" community is shifting from individual to broader perspectives to enable more significant impacts from their insights for sustainable futures. A critical aspect of this shift is strengthening community engagement, where individuals come together to exchange ideas and practices around sustainability. In this study, we examine the extent to which "green apps" available in app stores support community engagement. Our findings reveal that while many green apps address individual sustainability concerns, they do not fully embrace the opportunity for higher levels of interaction among users, such as interpersonal, community and organisational interactions. This paper outlines a pathway for enhancing community engagement in green apps and highlights the need for greater integration of interactions beyond the individual level.Type:conference speech