Purpose: Recent advancements in wearable computing offer opportunities for art galleries to provide a unique experience. However, to ensure successful implementation of this new technology in the visitor industry, it is essential to understand user requirements from a visitor’s point of view. Therefore, the aim of this paper is to investigate visitors’ requirements for the development of a wearable smart glasses augmented reality (AR) application in the museum and art gallery context. Design/methodology/approach: Interviews with 28 art gallery visitors were conducted and an affinity diagram technique was used to analyze the interviews. Findings: The findings reveal that wearable AR is in its infancy and that technical and design issues have to be overcome for a full adoption. It reveals that content requirement, functional requirement, comfort, experience and resistance are important when developing and implementing the wearable AR application in the museum and art gallery contexts. Originality/value: Mapping user requirements in the wearable smart glasses AR context using an affinity diagram is a new approach and therefore contributes to the creation of knowledge in the tourism domain. Practically, the area of wearable technologies and AR within the tourism and visitor industry context is still relatively unexplored, and the present paper provides a first foundation for the implementation of wearable smart glasses AR applications in the museum and art gallery context.
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As the two prime examples of sport light, running and walking have become very popular sports activities in the past decades. There are references in the literature of similarities between both sports, however these parallels have never been studied. In addition, the current digitalisation of society can have important influences on the further diversification of profiles. Data of a large-scale population survey among runners and walkers (n = 4913) in Flanders (Belgium) were used to study their sociodemographic, sports related and attitudinal characteristics, and wearable usage. The results showed that walkers are more often female, older, lower educated, and less often use wearables. To predict wearable usage, sports-related and attitudinal characteristics are important among runners but not among walkers. Motivational variables to use wearables are important to predict wearable usage among both runners and walkers. Additionally, whether or not the runner or walker registers the heart rate is the most important predictor. The present study highlights similarities and differences between runners and walkers. By adding attitudinal characteristics and including walkers this article provides new insights to the literature, which can be used by policymakers and professionals in the field of sport, exercise and health, and technology developers to shape their services accordingly.
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Recent advancements in mobile sensing and wearable technologies create new opportunities to improve our understanding of how people experience their environment. This understanding can inform urban design decisions. Currently, an important urban design issue is the adaptation of infrastructure to increasing cycle and e-bike use. Using data collected from 12 cyclists on a cycle highway between two municipalities in The Netherlands, we coupled location and wearable emotion data at a high spatiotemporal resolution to model and examine relationships between cyclists' emotional arousal (operationalized as skin conductance responses) and visual stimuli from the environment (operationalized as extent of visible land cover type). We specifically took a within-participants multilevel modeling approach to determine relationships between different types of viewable land cover area and emotional arousal, while controlling for speed, direction, distance to roads, and directional change. Surprisingly, our model suggests ride segments with views of larger natural, recreational, agricultural, and forested areas were more emotionally arousing for participants. Conversely, segments with views of larger developed areas were less arousing. The presented methodological framework, spatial-emotional analyses, and findings from multilevel modeling provide new opportunities for spatial, data-driven approaches to portable sensing and urban planning research. Furthermore, our findings have implications for design of infrastructure to optimize cycling experiences.
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