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 value-oriented 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.
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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.
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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.
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An English summary of the report “Optimalisering financieel advies aan mkb-ondernemers: praktijkverkenning stappenplan gestapeld financieren” [in Dutch]
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Dasha Ilina’s video work Advice Well Taken: Folk Tales of Digital Savation uses the ‘techlore’ concept to find out what ‘urban legends’ are in the age of smartphones. You can watch the ‘director’s cut’ of the video installation here. You can also have a look at a selection of the catalogue here. The 2023 Impakt Festival information about the installation can be found here. The essay was commissioned by Dasha Iina for the catalogue that came out in November 2023 during the Impakt Festival in Utrecht, where the video installation premiered. Read the ‘cookie conversation’ with the artist here, conducted by the Impakt Festival.
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In their study "How Perceived Fit Affects Customers’ Satisfaction of In-Store Social Robot Advice", Stephanie van de Sanden, Tibert Verhagen, Ewout Nas, Jacqueline Arnoldy, and Koen Hindriks explore how various dimensions of perceived fit influence customer attitudes and satisfaction toward social robots providing product advice in retail settings. Drawing on theories from marketing and information systems, the authors conceptualize four types of technology fit—task-technology, individual-technology, store-technology, and shopping experience-technology—and propose a model linking these fits to customer attitudes and satisfaction. A field study conducted in a garden center using a robot that advised on potting soil involved 224 participants, whose responses were measured through established Likert and semantic differential scales. The findings aim to inform future design and deployment of social robots in retail by highlighting the importance of contextual and experiential alignment between the robot, task, customer, and environment.
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PurposeTo support the development and implementation of exercise programming for people with prostate cancer (PC), we investigated their views on exercise.MethodsOnline survey with open recruitment. We collected data on clinical and sociodemographic variables, experiences with exercise advice, outcome expectations, and preferences. We explored determinants of (1) having been counselled about exercise and (2) preferring supervised exercise.ResultsThe survey was completed by 171 patients (mean age = 70 years, SD = 6.5) from all PC treatment pathways. Sixty-three percent of the respondents reported never having been informed about the potential benefits of exercise. Forty-nine percent preferred exercise to be supervised. Respondents generally reported a positive attitude towards exercise. Seventy-four percent indicated barriers to exercising, including fatigue and lack of access to specific programmes. Outcome expectations were generally positive but moderately strong. Receiving hormonal therapy and younger age were significantly associated with having received exercise advice. Being insured and having higher fatigue levels contributed significantly to the preference for supervised exercise.ConclusionDutch people with PC report receiving insufficient effective exercise counselling. Yet, they are open to exercise and expect exercise to improve their health, although they experience various barriers that limit their ability to exercise.Implications for Cancer SurvivorsThe moderate outcome expectations for exercise of people with PC and their limited recall of exercise counselling highlight the need for better integration of exercise in clinical pathways. The lack of access to specific programming limits the use of evidence-based exercise programmes for people with PC.
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Current research on data in policy has primarily focused on street-level bureaucrats, neglecting the changes in the work of policy advisors. This research fills this gap by presenting an explorative theoretical understanding of the integration of data, local knowledge and professional expertise in the work of policy advisors. The theoretical perspective we develop builds upon Vickers’s (1995, The Art of Judgment: A Study of Policy Making, Centenary Edition, SAGE) judgments in policymaking. Empirically, we present a case study of a Dutch law enforcement network for preventing and reducing organized crime. Based on interviews, observations, and documents collected in a 13-month ethnographic fieldwork period, we study how policy advisors within this network make their judgments. In contrast with the idea of data as a rationalizing force, our study reveals that how data sources are selected and analyzed for judgments is very much shaped by the existing local and expert knowledge of policy advisors. The weight given to data is highly situational: we found that policy advisors welcome data in scoping the policy issue, but for judgments more closely connected to actual policy interventions, data are given limited value.
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Since late 2020, all district courts and courts of appeal in the Netherlands have internal forensic support in the form of “forensic advisers.” This position was created in 2012 and resulted from the efforts made to expand knowledge of the forensic sciences within the inquisitorial Dutch criminal justice system. Forensic advisers are generalists and support judges in all matters concerning forensic science, for example, ensuring the logically correct interpretation of evidence, assessing the relevant expertise of forensic experts, and helping to avoid statistical fallacies. In this article, we discuss the origins of the position, the activities performed, and both positive and critical remarks about the position in the literature. Extensive attention is paid to the boundaries of the role and of the advice that is offered. We conclude that the forensic adviser has strengthened the forensic science expertise within the Dutch judiciary and we give recommendations for a more robust anchoring of this expertise.
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In this thesis several studies are presented that have targeted decision making about case management plans in probation. In a case management plan probation officers describe the goals and interventions that should help offenders stop reoffending, and the specific measures necessary to reduce acute risks of recidivism and harm. Such a plan is embedded in a judicial framework, a sanction or advice about the sanction in which these interventions and measures should be executed. The topic of this thesis is the use of structured decision support, and the question is if this can improve decision making about case management plans in probation and subsequently improve the effectiveness of offender supervision. In this chapter we first sketch why structured decision making was introduced in the Dutch probation services. Next we describe the instrument for risk and needs assessment as well as the procedure to develop case management plans that are used by the Dutch probation services and that are investigated in this thesis. Then we describe the setting of the studies and the research questions, and we conclude with an overview of this thesis.
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