The Brains4Buildings project aims to develop methods to design new smart building climate management systems that, among other things, reduce energy consumption, increase comfort and respond flexibly to user behavior. We set out to develop design guidelines to help B4B stakeholders when designing innovative …

Algorithmic affordances are defined as user interaction mechanisms that allow users tangible control over AI algorithms, such as recommender systems. Designing such algorithmic affordances, including assessing their impact, is not straightforward and practitioners state that they lack resources to design …

This exploratory study investigates the rationale behind categorizing algorithmic controls, or algorithmic affordances, in the graphical user interfaces (GUIs) of recommender systems. Seven professionals from industry and academia took part in an open card sorting activity to analyze 45 cards with examples …

In flexible education, recommender systems that support course selection, are considered a viable means to help students in making informed course selections, especially where curricula offer greater flexibility. However, these recommender systems present both potential benefits and looming risks, such …

Design schools in digital media and interaction design face the challenge of integrating recent artificial intelligence (AI) advancements into their curriculum. To address this, curricula must teach students to design both "with" and "for" AI. This paper addresses how designing for AI differs from designing …

Office well-being aims to explore and support a healthy, balanced and active work style in office environments. Recent work on tangible user interfaces has started to explore the role of physical, tangible interfaces as active interventions to explore how to tackle problems such as inactive work and …

Many ARM Cortex-M-based microcontrollers include tracing features which allow monitoring hardware events (e.g. exceptions occurring, a specific instruction being executed or a specific address range being accessed by the CPU). Tracing enables non-intrusive insight into software execution (i.e. software …

Voor het laatste gedeelte van mijn opleiding heb ik een afstudeerstage gedaan bij het softwarebedrijf Betabit in Apeldoorn van 1 september 2022 tot en met 10 februari 2023. Ik heb voor Oscar van Tol en Rick van den Bosch (de hosts van de Betatalks podcast) een applicatie gebouwd waarmee zij gemakkelijk …

Recommenders play a significant role in our daily lives, making decisions for users on a regular basis. Their widespread adoption necessitates a thorough examination of how users interact with recommenders and the algorithms that drive them. An important form of interaction in these systems are algorithmic …

Built on and inspired by existing knowledge, we have conceptualised a model in which two different user types (occupants and facility managers) are positioned to the building and its climate and regulatory systems. Thus, a feedback loop and interaction take place among all actors involved. The users, …