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 …

The user’s experience with a recommender system is significantly shaped by the dynamics of user-algorithm interactions. These interactions are often evaluated using interaction qualities, such as controllability, trust, and autonomy, to gauge their impact. As part of our effort to systematically categorize …

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 …

This paper describes the work done to track the supply chains of sur-veillance technologies from the global North to African governments for illegal surveillance of their citizens. We conducted desk research to analyse the supply side of surveillance technology exported to African countries. Our preliminary …

According to literature, digital transformation requires an organization to develop a broad, holistic, and business ecosystem perspective on how digital technologies can be used to rethink and improve business models, products, services, and processes. The objective of this research is to empirically …

This paper studies the effect of Lean QRM Yellow-belt training programs on employee’s continuous improvement (CI) behavior. Training employees is still the most common approach organizations follow to implement Lean production. However, such training programs do not always have the desired effect. To …

Network Action Learning has emerged as an innovative development of Action Learning and has been described as a lean approach to collaborative strategic improvement with problem-solving at its core, be it either within- or across organizational boundaries. Virtual Action Learning is also presented as …

In this paper, we present the case study Circus Noel, a VR tight rope walking act with which the use of movement in cinematic VR was explored. We use the notion of spatial presence as discussed by Ryan, and its potential to induce an ‘illusion of non-mediation’. Seven users were interviewed about their …