Light enables us to see and perceive our environment but it also initiates effects beyond vision, such as alertness. Literature describes that at least six factors are relevant for initiating effects beyond vision. The exact relationship between these factors and alertness is not yet fully understood. In the current field study, personal lighting conditions of 62 Dutch office workers (aged 49.7 ± 11.4 years) were continuously measured and simultaneously self-reported activities and locations during the day were gathered via diaries. Each office worker participated 10 working days in spring 2017. Personal lighting conditions were interpreted based on four of the six factors (light quantity, spectrum, timing, and duration of light exposure). Large individual differences were found for the daily luminous exposures, illuminances, correlated colour temperatures, and irradiances measured with the blue sensor area of the dosimeter. The average illuminance (over all participants and all days) over the course of the day peaked three times. The analysis of the duration of light exposure demonstrated that the participants were on average only exposed to an illuminance above 1000 lx for 72 minutes per day. The interpretation of personal lighting conditions based on the four factors provides essential information since all of these factors may be relevant for initiating effects beyond vision. The findings in the current paper give first in-depth insight in the possibilities to interpret personal lighting conditions of office workers.
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Eating healthier at work can substantially promote health for office workers. However, little has been investigated on designing pervasive health interventions specialized in improving workday eating patterns. This paper presents a design study of an mHealth app called EAT@WORK, which was designed to support office workers in the Netherlands in developing healthy eating behaviors in work routines. Based on semi-structured interviews with 12 office workers from a variety of occupations, we synthesized four key features for EAT@WORK, including supporting easy access to relevant knowledge, assisting goal setting, integrating with health programs, and facilitating peer supports. The user acceptance of EAT@WORK was examined through a within-subject study with 14 office workers, followed by a qualitative study on the applicability of app features to different working contexts. Quantitative results showed that EAT@WORK was experienced more useful than a benchmark app (p < 0.01) and EAT@WORK was also perceived easier to use than the benchmark app (p < 0.01). The qualitative analysis suggested that the goal assistant feature could be valuable for different working contexts, while the integrated health program was considered more suitable for office work than telework. The social and knowledge support were expected to be on-demand features that should loosely be bonded with the working contexts. Based on these findings, we discuss design implications for the future development of such mHealth technologies to promote healthy eating routines among office workers.
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a b s t r a c t Prolonged sitting can cause health problems and musculoskeletal discomfort. There is a need for objective and non-obstructive means of measuring sitting behavior. A ‘smart’ office chair can monitor sitting behavior and provide tactile feedback, aiming to improve sitting behavior. This study aimed to investigate the effect of the feedback signal on sitting behavior and musculoskeletal discomfort. In a 12- week prospective cohort study (ABCB design) among office workers (n ¼ 45) was measured sitting duration and posture, feedback signals and musculoskeletal discomfort. Between the study phases, small changes were observed in mean sitting duration, posture and discomfort. After turning off the feedback signal, a slight increase in sitting duration was observed (10 min, p ¼ 0.04), a slight decrease in optimally supported posture (2.8%, p < 0.01), and musculoskeletal discomfort (0.8, p < 0.01) was observed. We conclude that the ‘smart’ chair is able to monitor the sitting behavior, the feedback signal, however, led to small or insignificant changes. © 2017 Elsevier Ltd. All rights reserved.
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Sedentary behavior (SB) is prevalent in workplaces, putting office workers at an increased risk of severe health problems. To help designers and researchers gain a better understanding of office workers’ contextual concerns for physical inactivity (reducing SB and enhancing physical activity (PA)), we have proposed a conceptual framework ACTIVE4. This framework advises designers and researchers to consider four key factors that influence office workers’ physical inactivity: active mind, active behavior, active support, and active environment. We conducted three workshops (N=28 design students) to evaluate the framework. The participants found ACTIVE4 helpful in guiding them towards a more systematic understanding of the environmental influences and office workers’ personal needs for reducing physical inactivity. In future work, we will optimize the ACTIVE4 framework’s learning curve as suggested by participants and conduct an expert study to further discuss design opportunities and requirements for the ACTIVE4-related vitality toolkit.
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Sensors in offices mainly measure environmental data, missing qualitative insights into office workers’ perceptions. This opens the opportunity for active individual participation in data collection. To promote reflection on office well-being while overcoming experience sampling challenges in terms of privacy, notification, and display overload, and in-the-moment data collection, we developed Click-IO. Click-IO is a tangible, privacy-sensitive, mobile experience sampling tool that collects contextual information. We evaluated Click-IO for 20-days. The system enabled real-time reflections for office workers, promoting self-awareness of their environment and well-being. Its non-digital design ensured privacy-sensitive feedback collection, while its mobility facilitated in-the-moment feedback. Based on our findings, we identify design recommendations for the evelopment of mobile experience sampling tools. Moreover, the integration of contextual data with environmental sensor data presented a more comprehensive understanding of individuals’ experiences. This research contributes to the development of experience sampling tools and sensor integration for understanding office well-being.
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Eating healthier at work can substantially promote health and well-being among knowledge workers. However, little has been investigated on designing digital tools and interventions specialized in improving workday eating routines. This paper presents a user-centered contextual inquiry based on mixed-methods with an online questionnaire and a semi-structured interview. This study aimed to understand knowledge workers’ eating experiences and identify design opportunities and application strategies of digital tools to improve current practices. The questionnaire feedback from 54 Dutch knowledge workers revealed that their concerns over productivity, health and nutrition, energy support, and well-being could be decisive in shaping their eating routines at work. Furthermore, the results of 12 interview sessions suggested a set of expected digital features to encourage healthy eating at work, including health knowledge access, goal setting and self-tracking, technology-assisted health programs, and social support. Additionally, our findings also indicated that these digital features should be integrated into the office setting to offer personalized feedback and contextualized health interventions. Based on these findings, we derive design opportunities for workplace digital tools to promote healthy eating and discuss their potential contributions and future work to improved office vitality.
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This study was motivated by a desire to help working-age individuals gain a better understanding of their daily nutritional intakes with a new self-reported dietary assessment method because an unhealthy eating behavior increases the risks of developing chronic diseases. In this study, we present the design and evaluation of NutriColoring, a food diary that leverages doodling on sketches to report and reflect on everyday diet in the working context. Through a 2-week field study involving 18 participants, the usefulness of NutriColoring in facilitating dietary assessment was tested by making comparisons with the typical bullet diary method. Our quantitative results showed that NutriColoring provided users with improved dietary assessment experience and intrinsic motivations, with significantly low task frustration and high enjoyment. Because of the freedom and playfulness in reporting intakes at work, the interview findings showed a high acceptance of employing NutriColoring at work. This article is concluded with a set of implications for the design and development of a Doodling toolkit to support healthy eating behaviors among office workers.
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Prolonged sitting time in adults has become a major societal issue with far-reaching health, economic, and social consequences. The objective of this study is to reduce sedentary behaviour in office workers by integrating physical activity with work. In this case study, we present Workwalk, a concept to encourage and facilitate office workers to have a walking meeting. This idea arose by merging a traditional health research approach with an iterative design process. With this method, it was possible to integrate behaviour change techniques effectively into an interaction design process.
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Health symptoms may be influenced, supported, or even controlled via a lighting control system which includes personal lighting conditions and personal factors (health characteristics). In order to be effective, this lighting control system requires both continuous information on the lighting and health conditions at the individual level. A new practical method to determine these continuous personal lighting conditions has been developed: location-bound estimations (LBE). This method was validated in the field in two case studies; comparisons were made between the LBE and location-bound measurements (LBM) in case study 1 and between the LBE and person-bound measurements (PBM) in case study 2. Overall, the relative deviation between the LBE and LBM was less than 15%, whereas the relative deviation between the LBE and PBM was 32.9% in the best-case situation. The relative deviation depends on inaccuracies in both methods (i.e., LBE and PBM) and needs further research. Adding more input parameters to the predictive model (LBE) will improve the accuracy of the LBE. The proposed first approach of the LBE is not without limitations; however, it is expected that this practical method will be a pragmatic approach of inserting personal lighting conditions into lighting control systems.
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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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