Specific approaches are needed to reach and support people with a lower socioeconomic position (SEP) to achieve healthier eating behaviours. There is a growing body of evidence suggesting that digital health tools exhibit potential to address these needs because of its specific features that enable application of various behaviour change techniques (BCTs). The aim of this scoping review is to identify the BCTs that are used in diet-related digital interventions targeted at people with a low SEP, and which of these BCTs coincide with improved eating behaviour. The systematic search was performed in 3 databases, using terms related to e/m-health, diet quality and socioeconomic position. A total of 17 full text papers were included. The average number of BCTs per intervention was 6.9 (ranged 3–15). BCTs from the cluster ‘Goals and planning’ were applied most often (25x), followed by the clusters ‘Shaping knowledge’ (18x) and ‘Natural consequences’ (18x). Other frequently applied BCT clusters were ‘Feedback and monitoring’ (15x) and ‘Comparison of behaviour’ (13x). Whereas some BCTs were frequently applied, such as goal setting, others were rarely used, such as social support. Most studies (n = 13) observed a positive effect of the intervention on eating behaviour (e.g. having breakfast) in the low SEP group, but this was not clearly associated with the number or type of applied BCTs. In conclusion, more intervention studies focused on people with a low SEP are needed to draw firm conclusions as to which BCTs are effective in improving their diet quality. Also, further research should investigate combinations of BCTs, the intervention design and context, and the use of multicomponent approaches. We encourage intervention developers and researchers to describe interventions more thoroughly, following the systematics of a behaviour change taxonomy, and to select BCTs knowingly.
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Technological developments have a major impact on how we live, work and learn together. Several authors refer to a fourth revolution in which robots and other intelligent systems take over an increasing number of the current (routine) tasks carried out by humans (Brynjolfsson & McAfee, 2014; Est et al., 2015; Ford, 2016; Helbing, 2014; Ross, 2017; Schwab, 2016). The relationship between man and machine will change fundamentally as a result. We are already noticing this shift, most specifically in the workplace. E.g., in the field of health care, digitalisation and robotisation can empower patients and their families. Hospitals are primarily intended for clients with complex care needs. This has consequences for the tasks carried out by nurses, who become more of a ‘care director’ or ‘research nurse’. Hospitals approach this in different ways, resulting in considerable diversity as to how these roles are fulfilled. These changes, albeit diverse, can also be seen in the roles of accountants, police officers and financial advisers at banks (Biemans, Sjoer, Brouwer and Potting, 2017). The traditional occupational profiles no longer exist and the essence of these professions is shifting. This does not make such occupations less attractive, but requires different qualities. The demand for more highly educated professionals who can carry out complex tasks in a creative and interdisciplinary manner will increase (McKinsey, 2017). Also, other social developments, such as migration and greenification, prompt us to ask new questions, resulting in new paths towards identifying solutions.
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This book consists of thirteen chapters with elaborations on several perspectives of the Universities kaleidoscope. The aim of our book is not meant as a purely scientific endeavour, but as a contribution to the future development of universities. The style is popular science, primarily targeted at our lecturers as one of the most important social capitals we have. As the book is addressed to them, all chapters discuss their role, directly or indirectly. The focus is always on the ability to offer students the best possible learning environment. This requires first and foremost a dialogue on the professional diversity of lecturers. Innovative behaviour appears to be crucial for all of them. In addition to these abilities of lecturers, the design of the curriculum is essential for all parties involved. A curriculum largely determines the themes and contents addressed, how work-related, engaging and stimulating learning activities are developed and how lecturers design these on the micro level based on their expertise. Frans Jacobs & Ellen Sjoer (Editors). (See also seperate chapters).
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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 these evaluations, we explored the suitability of the interaction qualities framework as proposed by Lenz, Dieffenbach and Hassenzahl. During this examination, we uncovered four challenges within the framework itself, and an additional external challenge. In studies examining the interaction between user control options and interaction qualities, interdependencies between concepts, inconsistent terminology, and the entity perspective (is it a user’s trust or a system’s trustworthiness) often hinder a systematic inventory of the findings. Additionally, our discussion underscored the crucial role of the decision context in evaluating the relation of algorithmic affordances and interaction qualities. We propose dimensions of decision contexts (such as ‘reversibility of the decision’, or ‘time pressure’). They could aid in establishing a systematic three-way relationship between context attributes, attributes of user control mechanisms, and experiential goals, and as such they warrant further research. In sum, while the interaction qualities framework serves as a foundational structure for organizing research on evaluating the impact of algorithmic affordances, challenges related to interdependencies and context-specific influences remain. These challenges necessitate further investigation and subsequent refinement and expansion of the framework.
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Artificial intelligence (AI) integration in Unmanned Aerial Vehicle (UAV) operations has significantly advanced the field through increased autonomy. However, evaluating the critical aspects of these operations remains a challenge. In order to address this, the current study proposes the use of a combination of the 'Observe-Orient-Decide-Act (OODA)' loop and the 'Analytic Hierarchy Process (AHP)' method for evaluating AI-UAV systems. The integration of the OODA loop into AHP aims to assess and weigh the critical components of AI-UAV operations, including (i) perception, (ii) decision-making, and (iii) adaptation. The research compares the results of the AHP evaluation between different groups of UAV operators. The findings of this research identify areas for improvement in AI-UAV systems and guide the development of new technologies. In conclusion, this combined approach offers a comprehensive evaluation method for the current and future state of AI-UAV operations, focusing on operator group comparison.
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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 adequately for interfaces of AI systems. This could be amended by creating a comprehensive pattern library of algorithmic affordances. This library should provide easy access to patterns, supported by live examples and research on their experiential impact and limitations of use. The Algorithmic Affordances in Recommender Interfaces workshop aimed to address key challenges related to building such a pattern library, including pattern identification features, a framework for systematic impact evaluation, and understanding the interaction between algorithmic affordances and their context of use, especially in education or with users with a low algorithmic literacy. Preliminary solutions were proposed for these challenges.
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Deluge marks the culmination of a three-year project and collaboration between Art Gene, Art Walk Projects (Edinburgh) and curator Anna-Rosja Haveman (University of Groningen). The project explores three tidal wetland ecosystems across three sites (Barrow-in-Furness, Cumbria; Aberlady, East Lothian, and The Waddensea, Groningen, The Netherlands) with artists Dana Olărescu, Oscar Van Heek and Linde Ex.Since 2022, each artist has taken time to explore and research their local saltmarsh ecosystem before travelling to the other two locations to make connections across all three places.
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Description of the establishment of both Gymnophthalmus underwoodi and Indotyphlops braminus on Saba, Dutch Caribbean.
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This research investigates to what extent lecturers at universities of applied sciences do regard differentiated rewards—intended to develop and/or display professionalism—to be fair, and to what extent, and in which form, do these stimulate their willingness to (further) professionalise and/or display professionalism. This was a case study research design, and a factorial survey measurement technique was used to collect data. We argue that lecturers believe it is fair that forms of differentiated rewards are used and applied in order to have them develop and/or display more professionalism. Especially the viewpoints/practices that relate to coordination, consultation, and consideration for personal circumstances have an influence on the justice perceived. This paper contributes to the HRM literature confirming that lecturers appreciate financial stimuli enhancing their professionalism; however, elements such as consultation, respect, coordination, and communication are appreciated even more. It appeals to HRM to design new practices which have more stimulating effect on personal and professional growth in subject-specific knowledge.
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This research investigates to what extent lecturers at universities of applied sciences do regard differentiated rewards(intended to develop and/or display professionalism)to be fair, and to what extent, and in which form, do these stimulate their willingness to (further) professionalise and/or display professionalism. This was a case study research design, and a factorial survey measurement technique was used to collect data. We argue that lecturers believe it is fair that forms of differentiated rewards are used and applied in order to have them develop and/or display more professionalism. Especially the viewpoints/practices that relate to coordination, consultation, and consideration for personal circumstances have an influence on the justice perceived. This paper contributes to the HRM literature confirming that lecturers appreciate financial stimuli enhancing their professionalism; however, elements such as consultation, respect, coordination, and communication are appreciated even more. It appeals to HRM to design new practices which have more stimulating effect on personal and professional growth in subject-specific knowledge.
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