Good Intentions, Bad Interfaces

At the next UX Meetup in Chur, Caroline M. dos Santos will explore the impact design decisions can have.

“Good intentions are not enough when interfaces subtly shape behaviour, capture attention, or even negatively affect well-being. How can we design digital products that not only function well, but are also responsible, sustainable, and user-centred? And what does it really mean to design for people rather than just for clicks and efficiency?”

The talk will present concrete examples of how design influences behaviour and highlight principles that help create better, more ethical interfaces.

Afterwards, there will be time for exchange, discussion, and new perspectives within the UX community.

Impact Over Perfection – A Practical Approach to Accessibility

Accessibility often feels overwhelming with all its guidelines, standards and edge cases. But in practice, meaningful improvements don’t require perfection. They require empathy and a sincere motivation to create a truly usable experience for all.

In this talk, we share real learnings from UX and UI projects: what actually made a difference, where teams struggled, and how small, deliberate changes created a much more inclusive experience.

You’ll walk away with a practical mindset and actionable ideas to start improving accessibility in your own projects — without waiting for the “perfect” solution.

By Maria Timonen & Silio Keiser from Bitforge

Can AI Teach Reflection? Measuring Learning with AI Beyond Outcomes

AI tools are becoming an increasingly large part of education, but how can we tell whether they actually help people learn? In this talk, I’ll share insights from a research project on AI-supported reflective writing.
Why you should attend the talk: You will gain a clear understanding of the challenges of evaluating learning with AI and what UX researchers and designers can take away for their own practice.
Rather than only looking at final outcomes, this project focused on the learner’s experience and their learning process. I’ll show how we combined quantitative and qualitative research methods to do so. I will discuss why evaluating learning with AI is challenging and what UX researchers and designers can take away for their own work. Overall, the talk connects academic research with applied UX practice by offering practical perspectives on how to assess the real impact of AI on users.

A bit more about the project: The presented research was published at a Human-Computer Interaction conference and involved the iterative design of a reflection tool with different types of AI feedback. The evaluation with users was then conducted during 6 weeks in 2024.

Léane Wettstein is a PhD student at the HAIS (Human AI Learning Systems) Lab at Bern University of Applied Sciences (BFH) and University of St. Gallen. Her research looks at how students use AI feedback and how it affects their ability to think about and manage their own learning (metacognitive skills). The goal of her work is to help design AI tools and learning systems that encourage effective use of AI and support long-term learning.
She holds a Master’s degree in Psychology from University of Basel. Before starting her PhD, she worked as a research assistant at the University of Basel and ETH Zurich.

AI Knows Best, Until It Doesn’t: When Human-AI Interaction Breaks Down

AI promises better, faster, and safer decisions – but what happens when that promise outpaces reality? In this talk, I draw on recent work from our HCI group at the University of St. Gallen to show where and why human-AI interaction breaks down, and what this means for designers and users.

I focus on two complementary studies. First, a systematic analysis of “Death by GPS” incidents reveals how over-reliance on navigation systems can lead to strandings, wrong-way driving, and fatal crashes, highlighting concrete design implications for safer routing. Second, a placebo study using Fitts’ Law shows that simply labelling a standard computer mouse as “AI-assisted” significantly inflates user expectations – without improving performance, usability, or workload. Together, these cases expose a central tension in UX today: people often trust systems that either over-promise or fail precisely when their recommendations matter most.

Johannes Schöning is Professor of Computer Science at the University of St. Gallen, where he leads the Human-Computer Interaction (HCI) group. His research focuses on HCI, human-centred AI, and geoinformatics. Before joining St. Gallen, he held positions at the University of Bremen, Hasselt University, UCL, and DFKI. He is an ACM Distinguished Member and recipient of the ACM Eugene L. Lawler Award and two Google Research Awards.

Infoanlass Weiterbildungen UX & Human Computer Interaction

Erfahren Sie alles über unsere Weiterbildungen im Bereich UX & Human Computer Interaction.

Damit technische Systeme wie Business-Software, Ticketautomaten oder chemische Analysegeräte am Markt erfolgreich werden können, müssen sie technische Anforderungen wie auch die Bedürfnisse der Benutzenden erfüllen. Unsere Weiterbildungen im Bereich UX & Human Computer Interaction vermitteln spezifische Fähigkeiten zur Gestaltung benutzerorientierter, interaktiver Systeme und eröffnen eine ganzheitliche Sichtweise auf Mensch, Technologie und Design.

Am Online-Infoanlass werden folgende Angebote vorgestellt:

• MAS Human Computer Interaction Design
• CAS Interaction Design
• CAS UX & Digital Experience Design
• CAS UX Research
• CAS UX Management

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AI4UX – Seminar für UX Designer:innen zur Nutzung von KI im Designprozess

Entdecke die Potenziale von KI – von den Grundlagen bis zur praktischen Anwendung im UX-Alltag

Generative KI-Tools wie ChatGPT, Uizard, Relume, Dovetail sind seit kurzer Zeit als potenzielle Werkzeuge für den UX Alltag verfügbar. Für erfahrene UX-Profis eröffnen diese Technologien erweiterte Möglichkeiten, komplexe Herausforderungen zu bewältigen und innovative Lösungen zu entwickeln. Wie kann man das volle Potenzial dieser Tools ausschöpfen? Welche Risiken stehen der Anwendung entegen?

In diesem Intensivseminar gehen wir über die Grundlagen hinaus und bieten aktuelle Cases, fortgeschrittene Konzepte und praktische Übungen. Wir beleuchten, wie man Generative KI optimal in UX-Prozesse integriert.

Für die bereits zweite Ausgabe des Seminars haben wir die Inhalte und Aktivitäten auf den neuesten Stand gebracht. Letztes Jahr war das Seminar ein grosser Erfolg, weil wir wichtige Fragen aus dem Alltag der Teilnehmer beantwortet haben und das Gelernte direkt einsetzbar war.

Von der Idee zum MVP – mit Vibe Coding & No-Code schnell zu echtem Nutzerfeedback

Dein Shortcut zu Prototyp, Nutzerfeedback und Produktklarheit.

Du willst digitale Ideen schnell testen – aber Entwickler:innen sind knapp? In diesem praxisnahen Tagesworkshop lernst du, wie du mit Vibe Coding und No-/Low-Code Tools wie Relume, Webflow, Bubble.io und Lovable funktionale MVPs selbst erstellst, live schaltest und direktes Nutzerfeedback sammelst.

Ob für interne Ideen, Kundenprojekte oder neue Geschäftsmodelle: Du bekommst das Mindset, die Methoden und das Toolset, um Prototyping, MVP-Building und User-Validierung selbstständig in die Hand zu nehmen.