In this paper, we explore the design of web-based advice robots to enhance users' confidence in acting upon the provided advice. Drawing from research on algorithm acceptance and explainable AI, we hypothesise four design principles that may encourage interactivity and exploration, thus fostering users' confidence to act. Through a value-oriented prototype experiment and valueoriented semi-structured interviews, we tested these principles, confirming three of them and identifying an additional principle. The four resulting principles: (1) put context questions and resulting advice on one page and allow live, iterative exploration, (2) use action or change oriented questions to adjust the input parameters, (3) actively offer alternative scenarios based on counterfactuals, and (4) show all options instead of only the recommended one(s), appear to contribute to the values of agency and trust. Our study integrates the Design Science Research approach with a Value Sensitive Design approach.
This article investigates the aesthetic advice posted by temporary employment agencies on their websites. These agencies organise a substantial part of the Dutch labour market and they are known to apply exclusionary practices in their strategies of recruitment and selection in order to meet employers’ preferences. This article sheds light on (1) the content of the advice; (2) how it legitimises the importance of aesthetics for finding work; and (3) in what ways the advice serves the purposes of the agencies. An in-depth content analysis illustrates how the advice has the potential to reproduce exclusions, thus helping employment agencies adhere to employers’ exclusionary requests. Creating online content that generates traffic to the websites in this case causes a circular logic in which the importance of aesthetics is self-reinforcing. The study illustrates that the seemingly neutral and empty advice posted on websites may enforce exclusions in the temporary work labour market.
The Centre of Research in Knowledge Organisations and Knowledge Management of Zuyd University has developed a knowledge management scan. The scan initiates from two models. The first model is based on the Value Based Knowledge Management approach (Tissen, Andriessen & Lekanne Deprez, 1998) and includes 6 basic abilities of a knowledge-intensive organisation that will enable the organisation to operate successfully in a knowledge based economy (.The second model, developed by Wierdsma and Swieringa (2002), categorises organisations according to their level of learning that is to say, how it develops a specific learning ability. Both models are briefly reviewed within this paper. This knowledge management scan is a tool that enables an organisation to assess the development of its six basic abilities. Once the organisation has a clear insight into its own abilities, it will be able to strengthen its overall learning ability and improve the organisations’ competitive position. Additionally we take a close look at our research approach for developing and implementing the knowledge management scan. The scan encompasses 15 statements per ability (90 statements in total). The complete scan will be assessed on a five-point scale by a representative group of selected employees and managers of an organization, supervised by a researcher/consultant. During the analysis of the results and the presentation of recommendations, specific attention is paid to those statements that achieve high and low scores respectively (invitation to implement improvement actions) and statements that have a relatively high spread across a broad range (differences of opinion or the statement is open to different interpretations). In particular we have examined how the knowledge management scan was put into practice in one of the departments of Zuyd University. After a short summary of the organisation's initial situation, we discuss subsequent steps taken during the assessment, analysis and the advisory process. This paragraph is followed by a concise summary of the results generated by the scan. Finally we offer the recommendations and subsequent steps to be taken to implement these advices in the near future.
Being diagnosed with incurable cancer often leads to experiences of contingency and to existential concerns when patients struggle to search for meaning. The aims of this project are to (1) investigate how Art-Based Learning(ABL) – an art education method for experiencing art – has the potential to affect meaning-making processes of cancer patients in palliative care; (2) to investigate how to integrate this in (patient) education programs; (3) to enable health and art professionals to extent their capabilities to care for PC patients. This project builds on previous research on contingent experiences and narrative meaning-making, and on a pilot-study regarding the feasibility of carrying out ABL in PC. Aims and questions have been developed in a long-lasting process of problem analysis with PC and art education professionals, patients, and researchers. We will a) conduct participatory research to make an inventory of considerations that play a role in designing an art exhibition for the purpose of ABL among patients with advanced cancer, resulting in a manual to be used in future practice and research; b) conduct an explorative study and evaluate which factors hinder and promote patients’ meaning- making processes in online/on-site interventions; c) conduct a formal analysis of patients’ experiences with regards to meaning-making; d) formally compile a full list of conclusion and advices and embed the result in a new educational program for PC and art education professionals. This project is led by the professorship Art education as Critical Tactics(ArtEZ University of the Arts) and is carried out by a consortium of experts and complementary partners: University of Amsterdam and University of Twente (research partners); Amsterdam University Medical Centers, Amsterdam Museum, Museum Arnhem, Museum Jan Cunen, Leren van Kunst (public institutional partners); Vrije Universiteit Amsterdam, Radboud University, Story Lab-University Twente (knowledge experts); Living with Hope, SPKS, NFK(experience experts/patients advocacy).
