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3This document consists of the research report of Work Package 3 of ProMiMiC's locations Groningen and The Hague. Through the implementation of MiMiC-projects in the form of ‘living labs’, research data was generated leading to insights into (1) concepts of interprofessionality between musicians and healthcare professionals, (2) effects of the MiMiC-practice on nurses’ compassionate skills in contact with patients and (3) the influence of the various contexts on the MiMiC-practice. Given the fact that hospitals are the site of study in ProMiMiC, the research activities of Work Package 3 got highly affected by the COVID-19 pandemic. It led to additional questions and expansion of the MiMiC practice to directions that the consortium had
not foreseen.
--- Update September 2025: Chapter 5 - episodes added as a separate file for open access.
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This article explores the integration of a co-mentoring scheme within the participatory music practice of Meaningful Music in Healthcare (MiMiC) in Dutch medical hospitals. Building upon prior research that revealed a shared aspiration among MiMiC musicians and nurses to enhance collaborative efforts, the study explores the role of interprofessional collaboration not only for the immediate impact of music on people in the hospital environment but also for nurturing the sustained growth of the professionals involved. This article explores the implications and outcomes of a co-mentoring scheme, which took place in the form of reflective conversations between participating musicians and nurses, and examine their form, the relationships they foster within the MiMiC practice, and their contribution to interprofessional collaboration in transdisciplinary arts and health practices.
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Brochure about the Meaningful Music in Health care (MiMiC) practice.
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Thank you for sharing this story! However, please do so in a way that respects the copyright of this text. If you want to share or reproduce this full text, please ask permission from Innovation Origins (partners@innovationorigins.com) or become a partner of ours! You are of course free to quote this story with source citation. Would you like to share this article in another way? Then use this link to the article: https://innovationorigins.com/en/silicon-sampling-ai-powered-personas-offer-new-insights-for-market-research-but-have-limitations/ n the rapidly evolving field of marketing and communication, staying ahead means embracing technological innovations. The latest breakthrough, silicon sampling, leverages AI to revolutionize market research by creating synthetic personas that mimic human responses. This method, which utilizes large language models (LLMs) like GPT-4o, offers a cost-efficient and less time-consuming alternative to traditional market research. Roberta Vaznyte and Marieke van Vliet (Fontys University of Applied Science) have explored the promise and challenges of silicon sampling, highlighting key findings from recent experiments and the implications for the future of market research.
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Humanlike virtual influencers (HVIs) mimic human influencers (HIs), but how do consumers perceive them, and how does this affect persuasion knowledge? This experiment examines how consumers differentiate HVIs from HIs based on two mental states – intentions and emotions– and how differences in mind perception affect two dimensions of persuasion knowledge. Results reveal: (1) a negative indirect effect, where consumers attribute less intentions to HVIs (vs. HIs), reducing their understanding of persuasive intent (conceptual persuasion knowledge), and (2) a positive indirect effect, where consumers attribute less emotion to HVIs (vs. HIs), thereby increasing skepticism (attitudinal persuasion knowledge). Results also unveil a negative direct effect of a HVI (vs. HI) content on skepticism. Overall, while consumers are less skeptical of sponsored content from HVIs, they also attribute less emotion to these influencers, fostering consumer skepticism toward their content, and suppressing the persuasive advantage of HVIs. These findings may explain the inconsistent results in previous research regarding the effects of HVIs versus HIs.
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poster voor de EuSoMII Annual Meeting in Pisa, Italië in oktober 2023. PURPOSE & LEARNING OBJECTIVE Artificial Intelligence (AI) technologies are gaining popularity for their ability to autonomously perform tasks and mimic human reasoning [1, 2]. Especially within the medical industry, the implementation of AI solutions has seen an increasing pace [3]. However, the field of radiology is not yet transformed with the promised value of AI, as knowledge on the effective use and implementation of AI is falling behind due to a number of causes: 1) Reactive/passive modes of learning are dominant 2) Existing developments are fragmented 3) Lack of expertise and differing perspectives 4) Lack of effective learning space Learning communities can help overcome these problems and address the complexities that come with human-technology configurations [4]. As the impact of a technology is dependent on its social management and implementation processes [5], our research question then becomes: How do we design, configure, and manage a Learning Community to maximize the impact of AI solutions in medicine?
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‘Legacy: Participatory Music Practices with Elderly People as a Resource for the Well-being of Healthcare Professionals’ was a qualitative research project into the learning and well-being of hospital nurses and nursing home caregivers working with vulnerable elderly people and participating in live music practices Meaningful Music in Healthcare (MiMiC) and Music and Dementia in the Netherlands.
The data collection (2016-2019) employed an ethnographic approach and data triangulation of participant observation, episodic interviews and group discussions. The constructivist grounded theory approach to data analysis proceeded from sensitising concepts to initial and focused coding, ultimately reconstructed into a thick description merging empirical data, theory and the researcher’s interpretations. The emerging core categories, Participation, Experience and Learning Benefits, were conceptualised within an epistemological framework of philosophical pragmatism.
The findings suggest that, through an emerging community of practice, healthcare professionals could collaborate with musicians to connect with patients or residents. The collaboration enabled the use of shared musical experiences as a resource for compassionate care. Still, allowing oneself to participate musically and showing emotional vulnerability were challenging. The accumulation of ‘experiencing’ and collegial encouragement supported healthcare professionals’ participation beyond their professional performance.
Person-centred music-making resonated with the values of person-centred care. It enabled healthcare professionals to take time and become engaged with patients or residents in musical situations. Healthcare professionals described gaining new understandings of the patients or residents and each other, which could be seen promoting a cultural shift from task-centredness towards relationship-focused person-centred care.
Musicians’ communication provided new professional insights into teamwork. Also, observing patients and residents’ responses to the music evoked sympathetic joy in healthcare professionals. Looking through the eyes of ‘the other’ was central for nurses and caregivers’ meaning-making of the value of music-making and awareness of its impact on patients, residents and themselves. The perceived benefits of the music practices for healthcare professionals’ job resources and satisfaction seemed connected to changes in care relationships, work atmosphere, sense of mindfulness and recognition.
The conclusions of the research suggest that participatory music practices might be considered as supportive of delivering person-centred care. The findings could be applied in training programmes and professional development of musicians, nurses and caregivers.
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Background: Alcohol use is associated with an automatic tendency to approach alcohol, and the retraining of this tendency (cognitive bias modification [CBM]) shows therapeutic promise in clinical settings. To improve access to training and to enhance participant engagement, a mobile version of alcohol avoidance training was developed.
Objective: The aims of this pilot study were to assess (1) adherence to a mobile health (mHealth) app; (2) changes in weekly alcohol use from before to after training; and (3) user experience with regard to the mHealth app.
Methods: A self-selected nonclinical sample of 1082 participants, who were experiencing problems associated with alcohol, signed up to use the alcohol avoidance training app Breindebaas for 3 weeks with at least two training sessions per week. In each training session, 100 pictures (50 of alcoholic beverages and 50 of nonalcoholic beverages) were presented consecutively in a random order at the center of a touchscreen. Alcoholic beverages were swiped upward (away from the body), whereas nonalcoholic beverages were swiped downward (toward the body). During approach responses, the picture size increased to mimic an approach movement, and conversely, during avoidance responses, the picture size decreased to mimic avoidance. At baseline, we assessed sociodemographic characteristics, alcohol consumption, alcohol-related problems, use of other substances, self-efficacy, and craving. After 3 weeks, 37.89% (410/1082) of the participants (posttest responders) completed an online questionnaire evaluating adherence, alcohol consumption, and user satisfaction. Three months later, 19.03% (206/1082) of the participants (follow-up responders) filled in a follow-up questionnaire examining adherence and alcohol consumption.
Results: The 410 posttest responders were older, were more commonly female, and had a higher education as compared with posttest dropouts. Among those who completed the study, 79.0% (324/410) were considered adherent as they completed four or more sessions, whereas 58.0% (238/410) performed the advised six or more training sessions. The study identified a significant reduction in alcohol consumption of 7.8 units per week after 3 weeks (95% CI 6.2-9.4, P<.001; n=410) and another reduction of 6.2 units at 3 months for follow-up responders (95% CI 3.7-8.7, P<.001; n=206). Posttest responders provided positive feedback regarding the fast-working, simple, and user-friendly design of the app. Almost half of the posttest responders reported gaining more control over their alcohol use. The repetitious and nonpersonalized nature of the intervention was suggested as a point for improvement.
Conclusions: This is one of the first studies to employ alcohol avoidance training in a mobile app for problem drinkers. Preliminary findings suggest that a mobile CBM app fulfils a need for problem drinkers and may contribute to a reduction in alcohol use. Replicating these findings in a controlled study is warranted.
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