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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OBJECTIVE: The aim of this study was to develop an index for oral hygiene behavior (OHB) and to examine potential predictors of this actual behavior based on the theory of planned behavior (TPB). Measures of oral health knowledge (OHK) and the expected effect of having healthy teeth on social relationships were included too.MATERIAL AND METHODS: Using an Internet questionnaire, 487 participants were asked about actual OHB, attitudes (ATT), social norms (SN), perceived behavioral control (PBC), OHK, and expected social outcomes (ESO). Based on a Delphi method involving oral health professionals, a new index for OHB was developed, including tooth brushing, interdental cleaning, and tongue cleaning.RESULTS: Regression analysis revealed that the TPB variables (ATT, SN, and PBC) and OHK explained 32.3% of the variance in self-reported OHB.CONCLUSION: The present findings indicate that socio-psychological consequences play a role in oral health care.
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The hospitality industry contributes significantly to global climate change through its high resource consumption and emissions due to travel. As public pressure for hotels to develop sustainability initiatives to mitigate their footprint grows, a lack of understanding of green behavior and consumption of hotel guests hinders the adoption of effective programs. Most tourism research thus far has focused on the ecotourism segment, rather than the general population of travelers, and while research in consumer behavior shows that locus of control (LOC) and guilt can influence guests’ environmental behavior, those factors have not been tested with consideration of the subjective norm to measure their interaction and effect on recycling behavior. This study first examines the importance of internal and external LOC on factors for selecting hotel accommodation and the extent of agreement about hotel practices and, second, examines the differences in recycling behavior among guests with internal versus external LOC under levels of positive versus negative subjective norms and feelings of low versus high guilt.
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This study examines the motives of employees to engage in workrelated social media use – i.e. the use of personal social mediaaccounts to communicate about work-related issues. The theory ofplanned behavior (TPB) was used to explain this behavior.Because social media can enable users to express theiridentities, social identity expressiveness and self-identityexpressiveness were added to the TPB model. Through an onlinequestionnaire, using purposive sampling technique, 514 Dutchemployees were asked about their social media use and motivationto do so. We used structural equation modelling (SEM) to testour hypotheses. Results indicate that these identity constructsenhance the predictive ability of the TPB. As such, workrelationsocial media use is likely to take place spontaneouslyrather than deliberately and consciously planned.
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Dit artikel presenteert de resultaten van een discursief psychologische analyse van geruchtvorming op social media. De analyse van Twitterberichten die zijn geplaatst tijdens de zoektocht naar twee vermiste kinderen heeft tot doel inzicht te verwerven in de manier waarop geruchten zich ten tijde van crisissituaties op social media ontwikkelen. In this article we present the results of our analysis of rumour construction on social media from a discursive psychological perspective. The analysis of tweets during a search for two missing kids aims to provide insight into the way rumours develop on social media during a crisis situation, as well as the interactional and rhetorical aspects of rumour construction.
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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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Purpose (1) To investigate the differences in the course of participation up to one year after stroke between distinct movement behavior patterns identified directly after discharge to the home setting, and (2) to investigate the longitudinal association between the development of movement behavior patterns over time and participation after stroke. Materials and methods 200 individuals with a first-ever stroke were assessed directly after discharge to the home setting, at six months and at one year. The Participation domain of the Stroke Impact Scale 3.0 was used to measure participation. Movement behavior was objectified using accelerometry for 14 days. Participants were categorized into three distinct movement behavior patterns: sedentary exercisers, sedentary movers and sedentary prolongers. Generalized estimating equations (GEE) were performed. Results People who were classified as sedentary prolongers directly after discharge was associated with a worse course of participation up to one year after stroke. The development of sedentary prolongers over time was also associated with worse participation compared to sedentary exercisers. Conclusions The course of participation after stroke differs across distinct movement behavior patterns after discharge to the home setting. Highly sedentary and inactive people with stroke are at risk for restrictions in participation over time. Implications for rehabilitation The course of participation in people with a first-ever stroke up to one year after discharge to the home setting differed based on three distinct movement behavior patterns, i.e., sedentary exercisers, sedentary movers and sedentary prolongers. Early identification of highly sedentary and inactive people with stroke after discharge to the home setting is important, as sedentary prolongers are at risk for restrictions in participation over time. Supporting people with stroke to adapt and maintain a healthy movement behavior after discharge to the home setting could prevent potential long-term restrictions in participation.
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The global epidemic of overweight and obesity results from individual factors and from meso- and macro environmental factors. Adolescents are especially vulnerable to unhealthy changes in life style. One major influence on health behavior in this age group is represented by friends in peer groups. Young people tend to select and mimic each other with respect to both eating behavior and physical exercise. Peer groups are a close and important source of influence on health behavior and social media strengthens this influence. New research and interventions should take account of the influence of the peer group and social media.
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Are tourists who take more photos happier? Our study investigates the relationship between tourists’ photographing and happiness based on two proposed theories: photographing as a behavior that society expects from tourists, and photographing as a mechanism for social interaction. Questionnaires measuring photographic behavior and components of happiness such as positive emotions and life satisfaction were collected from 417 tourists at three destinations in the Netherlands. Additionally, we carried out participant observation to explore the potential roles of fulfilling cultural expectations and social interactions. We found a positive relationship between photography and tourists’ levels of happiness. People who take more pictures on holiday and rate photographing to be important experience more positive emotions and a higher life satisfaction, respectively. The participant observation data reveal that this relationship is strengthened when photography is used to build relationships, but weakened when people photograph to fulfill cultural expectations.
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Abstract: Combined lifestyle interventions (CLI) are focused on guiding clients with weight-related health risks into a healthy lifestyle. CLIs are most often delivered through face-to-face sessions with limited use of eHealth technologies. To integrate eHealth into existing CLIs, it is important to identify how behavior change techniques are being used by health professionals in the online and offline treatment of overweight clients. Therefore, we conducted online semi-structured interviews with providers of online and offline lifestyle interventions. Data were analyzed using an inductive thematic approach. Thirty-eight professionals with (n = 23) and without (n = 15) eHealth experience were interviewed. Professionals indicate that goal setting and action planning, providing feedback and monitoring, facilitating social support, and shaping knowledge are of high value to improve physical activity and eating behaviors. These findings suggest that it may be beneficial to use monitoring devices combined with video consultations to provide just-in-time feedback based on the client’s actual performance. In addition, it can be useful to incorporate specific social support functions allowing CLI clients to interact with each other. Lastly, our results indicate that online modules can be used to enhance knowledge about health consequences of unhealthy behavior in clients with weight-related health risks.
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