People in western countries spend approximately 90% of their time indoors. This severely affects their health (WHO 2013; Klepeis et al. 2001). The health risks are exacerbated if people travel between indoor spaces by car or public transport. Buildings on streets specifically designed to create a human scale and connected with the street-space can potentially invite people to walk and enhance their engagement with their surroundings (O’Mara 2019; Ewing et al. 2013). Since the 1960s, influential empirical studies have raised awareness of the walkability of streets (e.g. Jacobs 2008) but reliable evidence on the effectiveness of applied design solutions remains scarce (Spanjar & Suurenbroek 2020). This eye-tracking study focused on the visual ‘scanning’ of streetscapes and people’s appreciation of applied design principles. The aim was to gather together lessons learned from a variety of streetscapes in cities around the world and use them to inform the design of new developments in the Netherlands. Google Street View was used to select 19 images of streets in high-density environments with human-scale attributes in their façades and street-spaces. They were presented in a randomized order in a laboratory setting to 40 participants, who viewed them for 5 seconds. The participants’ visual explorative behaviour was recorded with advanced eye-tracking technology. A survey recorded their overall appreciation of the scenes and mouse-tracking collated their specific areas of interest (see fig. 1). The comparative analysis of the participants’ aggregated eye-fixation images together with the supplementary methods suggests that certain attributes for creating a human scale catch the eye in the first few seconds and are highly appreciated. These include the variety of a street’s façades, a street’s enclosedness, and the level of detail in the transition zone between the private ground floor and the public street (see fig. 2). Green features are particularly valued and might have important restorative qualities for people who spend most of their time indoors (Kaplan 1995; Ulrich 1984). Future research should focus on the design of façades and the street-space itself, taking people’s indoor lives and related stress levels as a starting point.
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People in western countries spend approximately 90% of their time indoors. This severely affects their health (WHO 2013; Klepeis et al. 2001). The health risks are exacerbated if people travel between indoor spaces by car or public transport. Buildings on streets specifically designed to create a human scale and connected with the street-space can potentially invite people to walk and enhance their engagement with their surroundings (O’Mara 2019; Ewing et al. 2013). Since the 1960s, influential empirical studies have raised awareness of the walkability of streets (e.g. Jacobs 2008) but reliable evidence on the effectiveness of applied design solutions remains scarce (Spanjar & Suurenbroek 2020). This eye-tracking study focused on the visual ‘scanning’ of streetscapes and people’s appreciation of applied design principles. The aim was to gather together lessons learned from a variety of streetscapes in cities around the world and use them to inform the design of new developments in the Netherlands. Google Street View was used to select 19 images of streets in high-density environments with human-scale attributes in their façades and street-spaces. They were presented in a randomized order in a laboratory setting to 40 participants, who viewed them for 5 seconds. The participants’ visual explorative behaviour was recorded with advanced eye-tracking technology. A survey recorded their overall appreciation of the scenes and mouse-tracking collated their specific areas of interest (see fig. 1). The comparative analysis of the participants’ aggregated eye-fixation images together with the supplementary methods suggests that certain attributes for creating a human scale catch the eye in the first few seconds and are highly appreciated. These include the variety of a street’s façades, a street’s enclosedness, and the level of detail in the transition zone between the private ground floor and the public street (see fig. 2). Green features are particularly valued and might have important restorative qualities for people who spend most of their time indoors (Kaplan 1995; Ulrich 1984). Future research should focus on the design of façades and the street-space itself, taking people’s indoor lives and related stress levels as a starting point.
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Background Movement behaviors (i.e., physical activity levels, sedentary behavior) in people with stroke are not self-contained but cluster in patterns. Recent research identified three commonly distinct movement behavior patterns in people with stroke. However, it remains unknown if movement behavior patterns remain stable and if individuals change in movement behavior pattern over time. Objectives 1) To investigate the stability of the composition of movement behavior patterns over time, and 2) determine if individuals change their movement behavior resulting in allocation to another movement behavior pattern within the first two years after discharge to home in people with a first-ever stroke. Methods Accelerometer data of 200 people with stroke of the RISE-cohort study were analyzed. Ten movement behavior variables were compressed using Principal Componence Analysis and K-means clustering was used to identify movement behavior patterns at three weeks, six months, one year, and two years after home discharge. The stability of the components within movement behavior patterns was investigated. Frequencies of individuals’ movement behavior pattern and changes in movement behavior pattern allocation were objectified. Results The composition of the movement behavior patterns at discharge did not change over time. At baseline, there were 22% sedentary exercisers (active/sedentary), 45% sedentary movers (inactive/sedentary) and 33% sedentary prolongers (inactive/highly sedentary). Thirty-five percent of the stroke survivors allocated to another movement behavior pattern within the first two years, of whom 63% deteriorated to a movement behavior pattern with higher health risks. After two years there were, 19% sedentary exercisers, 42% sedentary movers, and 39% sedentary prolongers. Conclusions The composition of movement behavior patterns remains stable over time. However, individuals change their movement behavior. Significantly more people allocated to a movement behavior pattern with higher health risks. The increase of people allocated to sedentary movers and sedentary prolongers is of great concern. It underlines the importance of improving or maintaining healthy movement behavior to prevent future health risks after stroke.
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Over the next 10 years, the City of Amsterdam plans to develop major housing schemes provide 90,000 new homes within the existing urban fabric. At the same time, an urban renewal program is being launched to revitalize the most deprived neighbourhoods. Together, these challenges call for more evidence based designprinciples to secure liveable places. Recent development in neuroscience, provides innovative tools to examine in a measurable, cause-effect way, the relationships between the physical fabric, users’ (visual) experience and their behavior in public spaces. In neuroscience, eye-tracking technology (ET) complements brain and behavioral measures (for overview see Eckstein et al. 2017). ET is already used to evaluate the spatial orienting of attention, behavioral response and emotional and cognitive impact in neuroscience, psychology and market research (Popa et al. 2015). ET may also radically change the way we (re)design and thus, experience cities (Sita et al. 2016; Andreani 2017). Until now, eye-tracking pilot studies collected eye fixation patterns of architecture using images in a lab-setting (Lebrun 2016).In our research project Sensing Streetscapes, we take eye-tracking outdoors and explore the potential ET may offer for city design. In collaboration with the municipality of Amsterdam and the local community, the H-neighborhood is used as a single case study. The main focus for urban renewal lies in the “transition-spaces”. They connect the neighborhood with the rapidly developing adjacent areas and are vital for improving the weak social-economic status. The commonly used design principles are validated (Alexander et al. 1977; Gehl 2011, 2014; Pallasmaa 2012) and the consistency of ET is tested, alongside (walk along) interviews and behavioral observations. In the next phase, the data will be analyzed by a panel of applied psychologists and urban designers. The initial results provide valuable lessons for the use of eye-tracking in urban design research. For example, a visual pattern analysis offers more accurate images of the spatial key-elements that matter when moving through transition spaces. More sensory-based city design research is needed to gather a full understanding of the relationships between the configuration of space, users’ (visual) experience, behavioral responses and in turn, perceptual decision making.
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To improve people’s lives, human-computer interaction researchers are increasingly designing technological solutions based on behavior change theory, such as social comparison theory (SCT). However, how researchers operationalize such a theory as a design remains largely unclear. One way to clarify this methodological step is to clearly state which functional elements of a design are aimed at operationalizing a specific behavior change theory construct to evaluate if such aims were successful. In this article, we investigate how the operationalization of functional elements of theories and designs can be more easily conveyed. First, we present a scoping review of the literature to determine the state of operationalizations of SCT as behavior change designs. Second, we introduce a new tool to facilitate the operationalization process. We term the tool blueprints. A blueprint explicates essential functional elements of a behavior change theory by describing it in relation to necessary and sufficient building blocks incorporated in a design. We describe the process of developing a blueprint for SCT. Last, we illustrate how the blueprint can be used during the design refinement and reflection process.
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Background and purpose The aim of this study is to investigate changes in movement behaviors, sedentary behavior and physical activity, and to identify potential movement behavior trajectory subgroups within the first two months after discharge from the hospital to the home setting in first-time stroke patients. Methods A total of 140 participants were included. Within three weeks after discharge, participants received an accelerometer, which they wore continuously for five weeks to objectively measure movement behavior outcomes. The movement behavior outcomes of interest were the mean time spent in sedentary behavior (SB), light physical activity (LPA) and moderate to vigorous physical activity (MVPA); the mean time spent in MVPA bouts ≥ 10 minutes; and the weighted median sedentary bout. Generalized estimation equation analyses were performed to investigate overall changes in movement behavior outcomes. Latent class growth analyses were performed to identify patient subgroups of movement behavior outcome trajectories. Results In the first week, the participants spent an average, of 9.22 hours (67.03%) per day in SB, 3.87 hours (27.95%) per day in LPA and 0.70 hours (5.02%) per day in MVPA. Within the entire sample, a small but significant decrease in SB and increase in LPA were found in the first weeks in the home setting. For each movement behavior outcome variable, two or three distinctive subgroup trajectories were found. Although subgroup trajectories for each movement behavior outcome were identified, no relevant changes over time were found. Conclusion Overall, the majority of stroke survivors are highly sedentary and a substantial part is inactive in the period immediately after discharge from hospital care. Movement behavior outcomes remain fairly stable during this period, although distinctive subgroup trajectories were found for each movement behavior outcome. Future research should investigate whether movement behavior outcomes cluster in patterns.
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This study explored how dressage judges focus their attention on different parts of horse-rider performances during competitions. By using eye tracking technology, we analyzed where judges look and how long they focus on specific areas. We included twenty judges with varying levels of experience and recorded their eye movements as they assessed Grand Prix dressage tests on video. We found that all judges mostly looked at the front of the horse compared to the rider or other parts of the horse. However, advanced level judges paid more attention to the horse’s feet, while judges engaged at the lower level of the sport looked more at the rider. These patterns suggest that judges concentrate on a few highly relevant areas, depending on the underlying criteria for evaluating performances. Understanding judges’ visual patterns and how they interpret what they see can help improve judging, making it more accurate and transparent, ensuring more consistent evaluations in competition and improving equine welfare.
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This study explores how households interact with smart systems for energy usage, providing insights into the field's trends, themes and evolution through a bibliometric analysis of 547 relevant literature from 2015 to 2025. Our findings discover: (1) Research activity has grown over the past decade, with leading journals recognizing several productive authors. Increased collaboration and interdisciplinary work are expected to expand; (2) Key research hotspots, identified through keyword co-occurrence, with two (exploration and development) stages, highlighting the interplay between technological, economic, environmental, and behavioral factors within the field; (3) Future research should place greater emphasis on understanding how emerging technologies interact with human, with a deeper understanding of users. Beyond the individual perspective, social dimensions also demand investigation. Finally, research should also aim to support policy development. To conclude, this study contributes to a broader perspective of this topic and highlights directions for future research development.
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Background: There is increasing interest in the role that technology can play in improving the vitality of knowledge workers. A promising and widely adopted strategy to attain this goal is to reduce sedentary behavior (SB) and increase physical activity (PA). In this paper, we review the state-of-the-art SB and PA interventions using technology in the office environment. By scoping the existing landscape, we identified current gaps and underexplored possibilities. We discuss opportunities for future development and research on SB and PA interventions using technology. Methods: A systematic search was conducted in the Association for Computing Machinery digital library, the interdisciplinary library Scopus, and the Institute of Electrical and Electronics Engineers Xplore Digital Library to locate peer-reviewed scientific articles detailing SB and PA technology interventions in office environments between 2009 and 2019. Results: The initial search identified 1130 articles, of which 45 studies were included in the analysis. Our scoping review focused on the technologies supporting the interventions, which were coded using a grounded approach. Conclusion: Our findings showed that current SB and PA interventions using technology provide limited possibilities for physically active ways of working as opposed to the common strategy of prompting breaks. Interventions are also often offered as additional systems or services, rather than integrated into existing office infrastructures. With this work, we have mapped different types of interventions and provide an increased understanding of the opportunities for future multidisciplinary development and research of technologies to address sedentary behavior and physical activity in the office context
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Background: Functional decline is common in nursing home residents. Nursing staff can help prevent this decline, by encouraging residents to be more active in functional activities. Questionnaires measuring the extent to which nursing staff encourage functional activity among residents are lacking. In addition, there are no measurement instruments to gain insight into nursing staff perceived barriers and facilitators to this behavior. The aim of this study was to develop, and study the usability, of the MAastrIcht Nurses Activities INventory (MAINtAIN), an inventory assessing a) the extent to which nursing staff perceive to perform behaviors that optimize and maintain functional activity among nursing home residents and b) the perceived barriers and facilitators related to this behavior. Methods: Using a mixed-methods approach the MAINtAIN was developed and its usability was studied. Development was based on literature, expert opinions, focus group (N = 3) and individual interviews (N = 14) with residents and staff from nine nursing homes in the Netherlands. Usability was studied in a cross-sectional study with 37 nurses and certified nurse assistants; data were analyzed using descriptive statistics. Results: Development of the MAINtAIN resulted in two distinctive parts: MAINtAIN-behaviors and MAINtAIN-barriers. MAINtAIN-behaviors, targeting nursing staff behavior to optimize and maintain functional activity, includes 19 items covering activities of daily living, household activities, and miscellaneous activities. MAINtAIN-barriers addresses the perceived barriers and facilitators related to this behavior and comprises 33 items covering barriers and facilitators related to the residents, the professionals, the social context, and the organizational and economic context. The usability study showed that the inventory was not difficult to complete, that items and response options were clear,and that the number of missing values was low. Few items showed a floor or ceiling effect. Conclusions: The newly developed inventory MAINtAIN provides a usable method for researchers and nursing homes to obtain insight into nursing staff perceived behavior in optimizing functional activity among residents and their perceived barriers and facilitators related to this behavior. Outcomes of the MAINtAIN may contribute to change in nursing staff behavior and may improve nursing care. Further research with regard to the psychometric properties of the MAINtAIN is recommended.
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