Design for Wellbeing & Human-Centred AI
Date: Monday 10 Nov 2025
Room: S/2.22 - Sandpit/Katherine Johnson Suite
| Time | Presentation | Abstract | Authors | Contribution type |
|---|---|---|---|---|
| 14:30-14:50 | The Real Cost of the Trick Wording Deceptive Pattern: Time Lost, Minds Taxed | With the increasing attention on Deceptive Patterns in the digital world, especially from the field of Human-Computer Interaction (HCI), it is becoming more important to understand how Deceptive Patterns influence User Experience (UX) design and reading behavior of users, and what the real cost actually is. This research focuses on a Deceptive Pattern, namely obstruction “Trick Wording”. Through the use of eye-tracking technology in an experiment, this research aims to find out how the presence of negations in text influence readability by investigating possible relations between negations and cognitive load, fixations, and reading duration. The results showed that there were positive linear relations between all of the aforementioned variables, with the number of negations being a somewhat reliable predictor of cognitive load. There was also a significant difference in cognitive load between questions that were correctly and incorrectly answered. The findings are hard to generalize to as there was a small sample size (n=20) in the experiment. Nevertheless, this research can lay a good foundation for future research by investigating variables (evidence based) that have barely been touched before in the context and field of Deceptive Patterns. | Christof van Nimwegen, Evan van de Sande and Almila Akdag | Research |
| 14:50-15:10 | Designing for Financial Wellbeing Informed by Financial Therapists’ and Coaches’ Practices | Personal money management and financial decisions are both essential and challenging, and most HCI research in this space has focused on end users, such as individuals’ or families’ financial behaviour. However, we know less about the financial practitioners’ practices with their clients to support their financial well-being and address their financial challenges. We report an interview study with 21 financial practitioners including therapists and coaches to explore their practices with their clients, as well as their perspective on financial well-being and problematic financial behaviour. Findings support richer understanding of financial well-being, and its main challenges, as well as the main interventions to address them. We conclude with three design implications to better support financial well-being. | Mariam Alenazi and Corina Sas | Research |
| 15:10-15:30 | Understanding #CreepyTech: Exploring the Context of Creepiness of Emerging Technology | While emerging technologies open new opportunities, some people might find them ‘creepy’. Research on ‘creepy technologies’ has focused on identifying and quantifying the specific characteristics that make them seem creepy. However, creepiness is subjective, and technologies seen as benign in one situation may become creepy in another. We contribute an exploratory analysis of tweets containing the keyword ‘creepy technology’ to identify how technological (e.g. what the technology can do) and contextual (e.g. application areas) factors might influence the perception of creepiness. | Argenis Ramirez Gomez, Carolina Fuentes, Samuelson Atiba, Nervo Verdezoto and Katarzyna Stawarz | Research |
| 15:30-15:40 | Leveraging Creepiness to Facilitate Ethical Design: Lessons Learned From a Design Workshop | Developing novel technologies tends to focus on eliminating or reducing undesirable features and characteristics of novel technologies. However, there is value in exploring the impact of intentionally ‘creepy’ designs that make these unwanted characteristics an explicit attribute. We have conducted a preliminary design workshop with 10 participants to explore the impact of this approach. The results show how, in focusing on creepiness as a resource for design, participants were organically prompted to reflect on the source of creepiness, namely identifying often overlooked attributes or characteristics. This facilitated the mitigation of potential side effects related to ethical issues that could emerge, as designers were informed by creepiness to create better designs of novel technologies. Overall, our work shows how creepiness could become an accessible framework to facilitate reflection on the ethical frictions of designing technologies based on users’ sensemaking and their relationship with interactive devices. | Katarzyna Stawarz, Alison Burrows and Argenis Ramirez Gomez | Late Breaking Work |
| 15:40-15:50 | Conversational AI in Community Care: Preliminary Insights from a Scoping Review | Community-based care represents a strategic priority for healthcare systems globally, yet the integration of conversational artificial intelligence (CAI) in these settings remains underexplored. This preliminary scoping review investigates current applications of CAI in community care settings to identify and categorise functional capabilities that can guide future implementation decisions. Through systematic database searches, we identified 65 papers for detailed analysis. Our initial observation surfaced eight CAI capabilities: identify, detect, generate, create, record, send, adapt, and operate. ‘Generation’ was frequently observed to produce personalised responses, data summaries or care recommendations. ‘Adaptation’ appeared particularly relevant in community care, facilitating linguistically and culturally responsive care. Emergent insights include the role of CAI in supporting relational care, enhancing cultural and contextual sensitivity, enabling collaboration with human agents, and processing multimodal data inputs for diverse care settings. This capability-centred analysis will provide an evidence-based foundation for innovators and clinical teams to make informed decisions about CAI integration in community care environments, with implications for scaling accessible and culturally appropriate care delivery. | Minseo Cho, Marco Da Re, Tori Simpson, Matthew Harrison and Rafael Calvo | Late Breaking Work |