In media audience research we tend to assume that media are engaged with when they are used, however ‘light’ such engagement might be. Once ‘passive media use’ was banned as a reference to media use, being a media audience member became synonymous with being a meaning producer. In audience research however I find that media are not always the object of meaning making in daily life and that media texts can be hardly meaningful. Thinking about media and engagement, there is a threefold challenge in relation to audience research. The coming into being of platform media and hence of new forms of media production on a micro level that come out of and are woven into practices of media use, suggests that we need to redraft the repertoire of terms used in audience research (and maybe start calling it something else). Material and immaterial media production, the unpaid labour on the part of otherwise audience members should for instance be taken into account. Then, secondly, there is the continuing challenge to further develop heuristically strong ways of linking media use and meaning making, and most of all to do justice, thirdly, to those moments and ways in which audiences truly engage with media texts without identifying them with those texts.
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Within large service organizations there are currently two trends visible. These trends seem to be diametrically opposed. On the one hand organizations face increasing price pressure and thus a pressure to cut costs. One of the consequences of this trend is that organizations are increasingly encouraging customers to make more use of digital communication channels. At the same time, companies find it important to know their customers in order to respond adequately to their needs. To do this, organizations must have a certain degree of personal involvement to their customers and they must have regular personal contact. It is assumed that both trends – digitisation and personalisation – will have a strong impact on customer experience and (perhaps) on the relational models customers use. If it is true that relational models - so the way in which people perceive and assess a relationship - play a role in the perception of the customer, it is also interesting to know if it is possible to influence these relational models. During the last fifty years much research has been done into the possibilities to influence customers by using subliminal priming techniques. In these techniques thoughts and feelings are unconsciously activated by showing people certain words or images (eg Bargh, Chen & Burrows, 1996; Dijksterhuis, 2005). In recent years a number of experiments were performed in which customers were unconsciously primed at some type of relationship (eg Aggarwal, 2004; McGraw & Tetlock, 2005; Tuk, Verlegh, Smidts & Wigboldus, 2009). These experiments showed that it is possible to activate a certain type of relationship. The experiments however the researchers used scenario’s based on an interpersonal relationship, and often to a fictitious relationship. The question is whether priming techniques also work for an already existing and more complex relationship between an organization and its customers. From 2010-2013 we conducted research for six large service providers in banking, insurance, utilities and social welfare to discover what the customer experience of these organisations, what role relational models played in customer experience and whether it was possible to influence these relational models. The research project has provided answers to the following questions: - Which relational models are used by customers and what is the influence of these models on customer experience? - What is the influence of digitisation in customer communication on relational models and customer experience? - What is the influence of personalisation in customer communication on relational models and customer experience? And finally, - Is it possible to influence relational models (and customer experience) by using specific words and images that are associated with relational models (relational framing)?
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Videos can enrich the learning environment in a variety of ways, adding value to the learning process. Using videos brings benefits to the students and to you as the lecturer, as long as you give proper thought to how you use them. The Research Group Teaching, Learning & Technology is conducting research into the effective use of videos in teaching.
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One aspect of a responsible application of Artificial Intelligence (AI) is ensuring that the operation and outputs of an AI system are understandable for non-technical users, who need to consider its recommendations in their decision making. The importance of explainable AI (XAI) is widely acknowledged; however, its practical implementation is not straightforward. In particular, it is still unclear what the requirements are of non-technical users from explanations, i.e. what makes an explanation meaningful. In this paper, we synthesize insights on meaningful explanations from a literature study and two use cases in the financial sector. We identified 30 components of meaningfulness in XAI literature. In addition, we report three themes associated with explanation needs that were central to the users in our use cases, but are not prominently described in literature: actionability, coherent narratives and context. Our results highlight the importance of narrowing the gap between theoretical and applied responsible AI.
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Despite the increased use of activity trackers, little is known about how they can be used in healthcare settings. This study aimed to support healthcare professionals and patients with embedding an activity tracker in the daily clinical practice of a specialized mental healthcare center and gaining knowledge about the implementation process. An action research design was used to let healthcare professionals and patients learn about how and when they can use an activity tracker. Data collection was performed in the specialized center with audio recordings of conversations during therapy, reflection sessions with the therapists, and semi-structured interviews with the patients. Analyses were performed by directed content analyses. Twenty-eight conversations during therapy, four reflection sessions, and eleven interviews were recorded. Both healthcare professionals and patients were positive about the use of activity trackers and experienced it as an added value. Therapists formulated exclusion criteria for patients, a flowchart on when to use the activity tracker, defined goals, and guidance on how to discuss (the data of) the activity tracker. The action research approach was helpful to allow therapists to learn and reflect with each other and embed the activity trackers into their clinical practice at a specialized mental healthcare center.
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PURPOSE: This study aims to explore the meaningful contributions of rehabilitation for participants living with persistent pain.MATERIALS AND METHODS: A phenomenological methodology was used. Thirteen purposefully selected participants, who self-identified as substantially improved from persistent pain due to rehabilitation, were interviewed in-depth. Data were analyzed using reflexive thematic analyses.RESULTS: Participants included three men and ten women, age ranging from 22-69 years, pain duration was 2-30 years. Seven interconnected themes were developed: 1) indication of negative pain and health care experiences, 2) supporting working alliance with healthcare professionals, 3) Pain Dialogue, 4) improved self-awareness and self-regulation, 5) different view on pain, 6) autonomy and personal growth and 7) hope and new perspective. Integration of these themes provided a framework for understanding meaningful contributions of rehabilitation from the participants' perspective.CONCLUSIONS: The study identified seven interconnected themes enhancing meaningful contributions of rehabilitation for participants who have substantially improved from persistent pain. These findings provide a novel conceptual understanding of how rehabilitation can foster recovery. The themes strongly support person-centred care, an understanding of Pain Dialogue and personal growth through the lens of the lived experience. The quality of the therapeutic relationship is considered a central vehicle for improved health outcomes.
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Technology in general, and assistive technology in particular, is considered to be a promising opportunity to address the challenges of an aging population. Nevertheless, in health care, technology is not as widely used as could be expected. In this chapter, an overview is given of theories and models that help to understand this phenomenon. First, the design of (assistive) technologies will be addressed and the importance of human-centered design in the development of new assistive devices will be discussed. Also theories and models are addressed about technology acceptance in general. Specific attention will be given to technology acceptance in healthcare professionals, and the implementation of technology within healthcare organizations. The chapter will be based on the state of the art of scientific literature and will be illustrated with examples from our research in daily practice considering the different perspectives of involved stakeholders.
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Explainable Artificial Intelligence (XAI) aims to provide insights into the inner workings and the outputs of AI systems. Recently, there’s been growing recognition that explainability is inherently human-centric, tied to how people perceive explanations. Despite this, there is no consensus in the research community on whether user evaluation is crucial in XAI, and if so, what exactly needs to be evaluated and how. This systematic literature review addresses this gap by providing a detailed overview of the current state of affairs in human-centered XAI evaluation. We reviewed 73 papers across various domains where XAI was evaluated with users. These studies assessed what makes an explanation “good” from a user’s perspective, i.e., what makes an explanation meaningful to a user of an AI system. We identified 30 components of meaningful explanations that were evaluated in the reviewed papers and categorized them into a taxonomy of human-centered XAI evaluation, based on: (a) the contextualized quality of the explanation, (b) the contribution of the explanation to human-AI interaction, and (c) the contribution of the explanation to human- AI performance. Our analysis also revealed a lack of standardization in the methodologies applied in XAI user studies, with only 19 of the 73 papers applying an evaluation framework used by at least one other study in the sample. These inconsistencies hinder cross-study comparisons and broader insights. Our findings contribute to understanding what makes explanations meaningful to users and how to measure this, guiding the XAI community toward a more unified approach in human-centered explainability.
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BackgroundIt has been demonstrated that people with dementia’s wellbeing can improve by using touchscreen technology. The FindMyApps program is a training and web-based selection-tool to help people with dementia and their caregivers find suitable apps that can improve their self-management and engagement in meaningful activities. As part of an exploratory RCT into FindMyApps a process evaluation was conducted according to the MRC Framework for process evaluation. Contextual, implementation and mechanisms of impact factors which may influence trial outcomes were evaluated.MethodA mixed methods design was used, in which quantitative and qualitative data were collected by semi-structured interviews (SSI) with stakeholders The SSI comprised closed and open questions, designed specifically for this study. Twenty people with mild dementia (MMSE >17; GDS 3-4) or Mild Cognitive Impairment (MCI) and twenty informal caregivers in both experimental and control groups, as well as 3 other stakeholders (researchers, technical helpdesk person) involved in the implementation of the intervention, were interviewed. Participants were recruited in the Netherlands. Exclusion criteria: moderate to severe dementia or severe sight problems. All participant dyads were provided a tablet computer for the three months intervention period. In the experimental group, people with dementia and caregivers were trained to use the tablet and FindMyApps after which the caregivers guided the persons with dementia to learn to use FindMyApps and find, and use, suitable apps for self-management and meaningful activities. In the control group, dyads only received general instruction in tablet use and a list of websites where to find potentially useful apps.ResultRegarding contextual factors, it was found that some technical problems might have influenced the intervention. Regarding implementation, participants noted that the training in the use of FindMyApps was of variable quality. Regarding mechanisms of impact it was found that dyads usually used the apps they found through FindMyApps regularly and enjoyed them, but they did not use FindMyApps itself regularly.ConclusionFindMyApps was experienced as a useful tool by most people with dementia/MCI and informal caregivers. Several adaptations to the trial protocol are recommended, to ensure robust outcomes in a definitive trial into its effectiveness.
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Background and Aim: Caregivers in the home environment have an important role in timely detecting and responding to abuse. The aim of this review was to provide insight into both the existing tools for the assessment of and interventions for elder abuse by formal and informal caregivers in the home environment, and to categorize them according to a public health perspective, into primary, secondary, tertiary or quaternary prevention. Methods: We selected the assessment tools and interventions that can be used by caregivers in the home environment included in previous reviews by Gallione et al (2017) and Fearing et al (2017). To identify published studies after these reviews, a search was performed using PubMed, Cochrane Database, CINAHL and Web of Science. Results: In total, fifteen assessment tools and twelve interventions were included. The number of assessment tools for elder abuse for use in the home environment is increasing; however, tools must be validated over different cultures and risk groups. In addition, the tools lack attention for the needs of vulnerable older persons such as persons with dementia. Existing interventions for caregivers in the home environment lack evidence for addressing elder abuse and do not address potential adverse effects (quaternary prevention). Conclusion: Assessment tools for elder abuse need further testing for validity and reliability for use by caregivers in the home environment. For interventions, meaningful outcome measures are needed. Important to note is that quaternary prevention requires more attention. This argues for taking into account perspectives of (abused) older persons and caregivers in the development of assessment tools and interventions protocols.
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