Recent years’ digital transformation has led to an increased interest in using and utilising smart technology in various insurance solutions, something that has come to challenge the traditional insurance model. The UsageBased Insurance model (UBI) is an example of an insurance model that utilises these technological innovations. With the aid of smart technology, the insurance model has the possibility, by using real-time data, to price premiums more accurately and efficiently, as well as it enables a more proactive approach. Despite the model’s positive capabilities, the degree of implementation in Europe, as well as in Sweden, can generally be regarded as low. Thus, the interest is raised about what influences this low level of implementation, as well as what challenges, requirements and consequences that are attached to such implementation. By investigating the UBI model, the purpose of this study is thus to analyse how new technology-based insurance models could affect the Swedish insurance industry and, in an extension, also the Swedish society. The study also intends to evaluate how these technology-based insurance policies could affect the insurability of risk, this by applying Berliner’s (1982) insurability criteria. With the help of a comprehensive literature study in parallel with a qualitative, semi-structured, interview study, the report aims to provide a broader understanding of what bridging contradictions that exist between theory and practice. The biggest challenges identified, related to a UBI implementation, are the customers’ willingness to share personal data, the insurance company’s propensity for transformation, their digital ability and the Swedish welfare system. Further, it has been concluded that the model’s increased ability to assess risk could consequently mean that an implementation would contribute to discrimination and cherry-picking, also known as cream skimming. To overcome these challenges and risks, and to stimulate a high implementation level, the required factors identified are that the UBI solution needs to stimulate other incentives than the monetary, that it should be simple and designed in a way that makes it feel personalised and an integrated part of the policyholders’ lives. If the primary purpose of utilising the UBI model is to decide the most profitable premium cost, the authors assess that the impediments are too high, the incentives too low and negative consequences too severe to reach a high degree of implementation on the Swedish market. The insurance companies instead have a great opportunity, as a proactive risk manager, to take a whole new position in the policyholders’ lives. Through proactive services, which are not premium-based, insurance companies would instead stimulate a behavioural change by advising, encouraging and in different ways rewarding a behavioural change towards a healthier and safer lifestyle. A development that all actors benefit from, without suffering the risk of punishing and/or discriminating policyholders. From the perspective of lacking social resources, this is also an opportunity to create a more proactive health care in Sweden. / Senaste tidens digitala transformation har medfört ett ökat intresse av att använda och utnyttja smart teknologi inom olika försäkringslösningar, något som har kommit att utmana den traditionella försäkringsmodellen. Ett exempel på en försäkringsmodell som utnyttjar dessa tekniska innovationer är den användarbaserade försäkringsmodellen (UBI). Tack vare smart teknologi har försäkringsmodellen möjlighet att, genom utnyttjandet av realtidsdata, kunna prissätta premier på ett mer korrekt och effektivt sätt, samtidigt som dessa teknologier möjliggör ett mer proaktivt arbetssätt. Trots dessa positiva egenskaper kan implementeringsgraden i Europa, och så även i Sverige, dock generellt sett betraktas som låg. Således väcks intresset kring vad som påverkar denna låga implementeringsgrad samt vilka utmaningar, krav och konsekvenser som finns kopplade till en sådan implementering. Med hjälp av att undersöka UBI modellen är syftet med denna studie att analysera hur teknikbaserade försäkringsmodeller kan påverka den svenska försäkringsmarknaden och, i en förlängning, även den det svenska samhället. Vidare, ämnar studien även till att undersöka på vilket sätt dessa teknikbaserade försäkringslösningar påverkar försäkringsbarheten, detta genom att tillämpa Berliner’s (1982) insurability criteria. Med hjälp av en grundlig litteraturstudie parallellt med en kvalitativ, semistrukturerad, intervjustudie avser rapporten att bidra till en bredare förståelse för vilka överbryggande motsättningar det finns mellan teori och praktik. De största utmaningarna som studien påvisar är kundernas villighet till att delge persondata, försäkringsbolagets benägenhet till transformation, deras digitala förmåga samt det svenska välfärdssystemet. På grund av den förbättrade riskbedömning, som modellen medför, har cream skimming och diskriminering konstaterats vara två stora konsekvenser som modellen riskerar medföra. Där cream skimming åsyftar försäkringsgivarens ökade förmåga till att identifiera försäkringens mest lönsamma kunder. För att möta dessa utmaningar och konsekvenser, samt att stimulera en hög implementeringsgrad, anses det viktigt att kunna stimulera andra incitament, än de monetära. Det anses även viktigt att lösningen är enkel, personifierad samt att den besitter förmågan att bli en integrerad del av försäkringstagarens liv. Om det primära syftet med att tillämpa UBI modellen är att bestämma den mest lönsamma premiekostnaden, anser författarna att hindren är för många, incitamenten för få och de negativa konsekvenserna för omfattande för att kunna uppnå en hög implementeringsgrad på den svenska marknaden. Försäkringsbolagen besitter istället en stor möjlighet att, som en proaktiv riskrådgivare, ta en helt ny position i försäkringstagarnas liv. Genom proaktiva tjänster, som inte utnyttjar de premiegrundande egenskaperna, har försäkringsbolagen istället möjlighet att stimulera en beteendeförändring genom att rådge, uppmuntra och på olika sätt belöna en positiv beteendeförändring mot ett mer hälsosamt och säkert liv. Detta skulle således vara en gynnsam utveckling som alla aktörer tjänar på, utan risken att straffa och/eller diskriminera försäkringstagare. Ur ett perspektiv av bristande samhällsresurser, skapar detta även ökade möjligheter för utvecklandet av en mer proaktivt fungerande sjukvård i Sverige.

健康的重要性，人人皆知，但是知易行難，現代的人忙碌，卻也創造出更多不運動的理由。近年來因為手機的普及，讓資通業者看到的是個人對身體自主健康的需求，隨著智慧手環的關鍵技術發展漸趨成熟，讓智慧穿戴裝置成為生活的必需品，許多人都相信智慧穿戴裝置將是下一個令人期待的高成長產業，而健康管理與穿戴裝置的結合又一直是此類產品發展的重點。 本論文研究的目的是希望經由分析智慧穿戴市場的基本應用與產業現況，來探討穿戴裝置業者的產品在健康管理相關領域的市場應用範圍。研究的架構是藉由分析幾個智慧穿戴業者現行的商業模式圖並輔以價值主張的設計分析探討，找出研究個案的關鍵成功因素，本研究也根據評量分析作出結論與建議，達成在這個互聯網時代，研究機構，廠家跟消費者能精準管理健康，產業成長獲利，全民健康運動的三贏目的。

En la actualidad, se hace más frecuente la aparición de enfermedades que años atrás no eran comunes o que se presentaban en personas de avanzada edad, lo grabe de este hecho radica en que año tras año se diagnostican en personas de temprana edad. Una de estas enfermedades es la hipertensión arterial, enfermedad relacionada con el aumento desmesurado de la fuerza ejercida por el corazón para transportar la sangre a todos los órganos del cuerpo humano. Padecer esta enfermedad a temprana edad es considerado peligroso debido a qué se pueden encubar enfermedades crónicas como el cáncer y la diabetes. Por otra parte, el Estado invierte cantidades exorbitantes de dinero para poder tratar esta enfermedad, lo cual, en el caso de prevenirse, se podrían destinar estas sumas de dinero a otros proyectos de igual importancia para la sociedad peruana. El presente proyecto tiene como objetivo brindar un apoyo a la sociedad en la concientización y autocontrol de la presión arterial a través de una solución tecnológica que permita realizar un análisis de factores de riesgo de variables relacionadas a enfermedades cardiovasculares, para poder estimar y poder brindar un diagnóstico presuntivo que permita que las personas puedan conocer si están propensos a ser hipertensos y tengan una alternativa de cambios de hábitos conductuales para poder reducir esa probabilidad. Este documento contiene información relativa a los factores que influyen en la adquisición de la hipertensión arterial, así como la información referente a los procedimientos médicos para el despistaje en primera instancia de hipertensión arterial y el uso emergente de tecnologías wearables para la toma de datos fisiológicos de un usuario. / In this paper, we propose a Technological Solution integrated to a wearable device that allows measuring some physiological variables such as body mass index (BMI), steps taken, burned calories, blood pressure and others risk factors associated with the Framingham´s score. The objective of this article is to identify the evolutionary pattern of the Framingham´s score each day in order to determine a presumptive diagnosis of high blood pressure. This propose is due to rising rate of people diagnosed as hypertensive in Perú that affects 13% of the population every year and it´s the beginning of chronic diseases such as Cancer or Diabetes. This Technological Solution is composed of 4 phases: 1. The user´s data collection from the wearable device; 2. The data reception to the mobile application through Bluetooth communication protocol; 3. The sending data from the mobile application to the SQL Azure database engine hosted in the cloud platform; 4. The process of generating educational health reports based in Framingham´s score. The Technological Solution was validated in a social insurance of a public hospital in Lima, Perú. The preliminary results obtained in a diagnostic test shows a sensitivity level of 83.33% in the proposed Technological Solution, a level of precision better than a traditional Framingham´s score for presumptive diagnosis of high blood pressure. This proposed contributes to the patient´s awareness about the bad routine habits related to lifestyle and promotes the empowerment of data in order to make some changes that influence on the reduction of cardiovascular disease risk. / Tesis

Personal Informatics (PI) are information systems that allow people to process activities with the usage of information technology, aiming to produce informational products (data) either for themselves or for others. Technologies that enable PI are becoming increasingly popular, assisting people in collecting personally relevant information about their body and their behaviour. In sports industry nowadays, a great variety of PI wearable tools offer support to athletes and training staff to improve their performance. An example of such tool is the Electronic Performance and Tracking Systems (EPTS), which are a combination of hardware and software that facilitates the collection, storage, analysis and management of professional athletes’ fitness and health data. Although significant and broadly used, EPTS have not yet received much attention from researchers and, thus, understudied. Therefore, the master’s thesis explores the perceptions of professional football athletes and training staff regarding the use of EPTS in their everyday training and work. Furthermore, the master’s thesis research explores the benefits and challenges that professional football athletes and training staff experience when using EPTS in their everyday training and work. The master’s thesis study adopts the interpretive paradigm and qualitative ethnographic approach. The research data was collectedthrough direct observations in the field and semi-structured interviews from Greek professional football athletes and Greek training staff that use wearable EPTS in their everyday training and work and was analysed thematically. A theoretical framework, which is built upon relevant literature from the informatics field and along with the theory of sensemaking, is used to understand, interpret and discuss the research findings. The research outcome of the master’s thesis shows that communication is at the core of EPTS enabling football players and training staff to improve individual and team performance. Organizing of every day starts and ends with EPTS analysis and evaluation and better organized and daily evaluated football methodology appears as key benefit for the club. Coaches and trainers are now more data driven and accurate and analysts and trainers that conduct analysisof the data provided by EPTS are new members of the training staff. Evidence provided by EPTS build trust between staff and players and in the training staff. Visualization tools for presenting insights need to be further improved with the addition of in-field monitors and 3D presentations. Furthermore, it is important for training staff members to have ethical and consistent strategy on how data derived from EPTS are used on how data are communicated.  The research complements previous research on personal informatics and adjusts them to elite team sport context and adds to the theory of sensemaking regarding how users make sense of PI tools that are related with their everyday routines at work. In addition, it offers football training staff members a model for efficient use of EPTS technology into the everyday football practices and a model of sustainable use aiming the overall improvement of team performance.

The goal of this master's thesis is to analyze the situation of wearable devices with the Android Wear operating system and recognition capabilities of various movement activities using neural networks. The primary focus is therefore on identifying and describing the most appropriate tool for recognizing dynamic movements using machine learning methods based on data obtained from this type of devices. The practical part of the thesis then comments on the implementation of a stand-alone Android Wear application capable of recording and formatting data from sensors, training the neural network in a designed external desktop tool, and then reusing trained neural network for motion recognition directly on the device.

Det har idag blivit alltmer populärt att spåra sin aktivitet i syfte att förbättra och förenkla sin vardag och sitt liv. Genom att använda olika verktyg kan människor idag ge produkter och tjänster tillgång till deras data för att spåra deras aktivitet. Ett sådant verktyg är aktivitetsarmbandet och smartklockan. Med dessa kan användare bland annat mäta puls, antal steg och få sms- och samtalsnotifikationer. Armbanden och klockorna samlar därmed in data kring användarnas hälsa och aktivitet och på så sätt kan de visa statistik för användarna för att ge dem information om hur mycket - eller hur lite - de till exempel rör sig under en dag. Denna studie har fokuserat på hur användare upplever användningen av dessa armband och klockor och hur dessa verktyg påverkar deras motivation. Tillvägagångssättet för studien har varit en dagboksstudie kombinerat med kompletterande intervjuer. Genom denna metod har olika teman kunnat identifieras utifrån svaren som dagböckerna och intervjuerna har gett. Dessa teman är: aktivitetsspårning, funktionalitet, personlig utveckling, feedback och uppkoppling. Resultatet har visat att deltagarna i studien upplever i stort sett en motivation av att använda armbanden och klockorna, på så sätt att de uppmuntras att ta fler steg när de ser svart på vitt hur många steg de hittills har tagit. Resultatet pekar även på ett större engagemang hos deltagarna att hålla en koll på deras motion och hälsa, vilket armbanden och klockorna möjliggör. / It has become popular today to track one’s activity in order to improve and simplify one’s everyday life and well being. By using different tools you can today give products and services access to your data for them to track your activity, be it your movement or your phone activity logs. By giving them access to such you can in turn get information for example about how much - or how little - you exercise during a day. This study has focused on how users experience wearables and smart watches and how these tools influence their motivation. Through a diary study and interviews we have identified five themes: activity tracking, functionality, personal development, feedback and connection. The result of this study has shown that most of the participants of the study experience motivation to use the wearables and watches, partly because they can clearly see how many steps they have taken and how many steps they have left to reach their goal. The result also shows a higher commitment among the participants to track their activity and their health, which the wearables and smart watches enable them to do.

Deep touch pressure is used to treat sensory processing difficulties by applying a firm touch to the body to stimulate the nervous system and soothe anxiety. I conducted a long-term exploration of deep touch pressure from a first-person perspective, using shape-changing pneumatic actuators, breathing and ECG sensors to investigate whether deep touch pressure can guide users to engage in semi-autonomous interactions with their breathing and encourage greater introspection and body awareness. Based on an initial collaborative material exploration, I designed the breathing garment- a wearable vest used to guide the wearer through deep breathing techniques. The breathing garment presents a new use case of deep touch pressure as a modality for hapticbreathing feedback, which showed potential in supporting interoceptive awareness and relaxation. It allowed me to engage in a dialogue with my body, serving as a constant reminder to turn inwards and attend to my somatic experience. By pushing my torso forward, the actuators were able to engage my entire body while responding to my breath, creating a sense of intimacy, of being safe and taken care of. This work addresses a gap in HCI research around deep touch pressure and biosensing technology concerning the subjective experience of their emotional and cognitive impact. The longterm, felt engagement with different breathing techniques opened up a rich design space around pressure-based actuation in the context of breathing. This rendered a number of experiential qualities and affordances of the shape-changing pneumatic actuators, such as: applying subtle, slowly changing pressure to draw attention to specific body parts, but also disrupting the habitual way of breathing with asynchronous and asymmetric actuation patterns; taking on a leading or following role in the interaction, at times both simultaneously; and acting as a comforting companion or as a communication channel between two people as well as between one person and their soma. / Djuptrycksterapi (Deep Touch Pressure, DTP) används för att behandla personer som har problem med att processa sensoriska upplevelser. Detta genom att applicera ett fast tryck på kroppen för att aktivera nervsystemet och lindra ångest. Jag genomförde en långtidsutforskning av DTP ur ett första-persons-perspektiv, med hjälp av formförändrande tryckluftsaktuatorer, andnings sensorer och EKG-elektroder. Dess syfte var att undersöka ifall DTP kan guida användare till att engageras i semiautonoma interaktioner med sin andning och främja en större introspektion och kroppsmedvetenhet. Baserat på ett initialt samarbete kring undersökning av olika material, designade jag “the breathing garment” - en bärbar väst som guidar användaren genom djupandningstekniker. Andningsvästen visar på en ny användning av DTP som en modalitet av haptisk andningsfeedback, och den möjliggör ett stödjande av interoceptisk medvetenhet och avslappning. Andningsvästen tillät mig att delta i en dialog med min egen kropp, och fungerade som en ständig påminnelse att vända mig inåt och uppmärksamma mina somatiska upplevelser. Genom att trycka min bröstkorg framåt kunde aktuatorerna engagera hela min kropp när de svarade mot min andning, vilket skapade en känsla av intimitet, trygghet och att vara omhändertagen. Detta examensarbete uppmärksammar ett område som tidigare varit outforskat inom HCI av djuptrycksterapi och biosensorteknik kring den subjektiva upplevelsen av dess emotionella och kognitiva påverkan. Det långvariga engagemanget med aktivt upplevande av olika andningstekniker öppnade upp en stor designrymd kring tryckbaserade aktuatorer i en kontext av andning. Det visar på ett flertal experimentella kvaliteter och affordances av de formförändrande tryckluftsaktuatorerna, såsom: att applicera ett gradvis ökande och markant tryck för att dra uppmärksamheten till specifika kroppsdelar, men också för att bryta det vanliga andningsmönstret genom asynkron och asymmetrisk mönsterpåverkan; att ta en ledande eller följande roll i interaktionen, ibland båda samtidigt; och att agera som en tröstande följeslagare, eller som en kommunikationskanal mellan två människor, likväl som mellan en person och hennes soma.

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This thesis explores a methodology to quantify trust in wearable medical devices (WMD) by addressing two main challenges: identifying key factors influencing trust and developing a formal framework for precise trust quantification under uncertainty. The work empirically validates trust factors and uses a Bayesian network to quantify trust. The thesis further employs a data-driven approach to estimate Bayesian parameters, facilitating query-based inference and validating the trust model with real and synthetic datasets, culminating in a customizable parameterized trust evaluation prototype for WMD. / Advances in sensor and digital communication technologies have revolutionized the capabilities of wearable medical device (WMD) to monitor patients’ health remotely, raising growing concerns about trust in these devices. There is a need to quantify trust in WMD for their continued acceptance and adoption by different users. Quantifying trust in WMD poses two significant challenges due to their subjective and stochastic nature. The first challenge is identifying the factors that influence trust in WMD, and the second is developing a formal framework for precise quantification of trust while taking into account the uncertainty and variability of trust factors. This thesis proposes a methodology to quantify trust in WMD, addressing these challenges. In this thesis, first, we devise a method to empirically validate dominant factors that influence the trustworthiness of WMD from the perspective of device users. We identified the users’ awareness of trust factors reported in the literature and additional user concerns influencing their trust. These factors are stepping stones for defining the specifications and quantification of trust in WMD. Second, we develop a probabilistic graph using Bayesian network to quantify trust in WMD. Using the Bayesian network, the stochastic nature of trust is viewed in terms of probabilities as subjective degrees of belief by a set of random variables in the domain. We define each random variable in the network by the trust factors that are identified from the literature and validated by our empirical study. We construct the trust structure as an acyclic-directed graph to represent the relationship between the variables compactly and transparently. We set the inter-node relationships, using the goal refinement technique, by refining a high-level goal of trustworthiness to lower-level goals that can be objectively implemented as measurable factors. Third, to learn and estimate the parameters of the Bayesian network, we need access to the probabilities of all nodes, as assuming a uniform Gaussian distribution or using values based on expert opinions may not fully represent the complexities of the factors influencing trust. We propose a data-driven approach to generate priors and estimate Bayesian parameters, in which we use data collected from WMD for all the measurable factors (nodes) to generate priors. We use non-functional requirement engineering techniques to quantify the impacts between the node relationships in the Bayesian network. We design propagation rules to aggregate the quantified relationships within the nodes of the network. This approach facilitates the computation of conditional probability distributions and enables query-based inference on any node, including the high-level trust node, based on the given evidence. The results of this thesis are evaluated through several experimental validations. The factors influencing trust in WMD are empirically validated by an extensive survey of 187 potential users. The learnability, and generalizability of the proposed trust network are validated with a real dataset collected from three users of WMD in two conditions, performing predefined activities and performing regular daily activities. To extend the variability of conditions, we generated an extensive and representative synthetic dataset and validated the trust network accordingly. Finally, to test the practicality of our approach, we implemented a user-configurable, parameterized prototype that allows users of WMD to construct a customizable trust network and effectively compare the trustworthiness of different devices. The prototype enables the healthcare industry to adapt and adopt this method to evaluate the trustworthiness of WMD for their own specific use cases. / Thesis / Doctor of Philosophy (PhD) / In this thesis, two challenges in quantifying trust in wearable medical devices, are addressed. The first challenge is the identification of factors influencing trust which are inherently subjective and vary widely among users. To address this challenge, we conducted an extensive survey to identify and validate the trust factors. These factors are stepping stones for defining the specifications and quantifying trust in wearable medical devices. The second challenge is to develop a precise method for quantification of trust while taking into account the uncertainty and variability of trust factors. We constructed a Bayesian network, that captures the complexities of trust as probabilities of the trust factors (identified from the survey) and developed a data-driven approach to estimate the parameters of the Bayesian network to compute the measure of trust. The findings of this thesis are empirically and experimentally validated across multiple use cases, incorporating real and synthetic data, various testing conditions, and diverse Bayesian network configurations. Additionally, we developed a customizable, parameterized prototype that empowers users and healthcare providers to effectively assess and compare the trustworthiness of different wearable medical devices.

Heutzutage erfüllen nur 35 % der Deutschen das empfohlene Maß an körperlicher Bewegung (Robert Koch Institute, 2015). Ein möglicher Grund für diese Inaktivität ist, dass die körperliche Betätigung am Arbeitsplatz sich in den letzten Jahren um insgesamt 28% verringert hat (Wilke, Ashton, Elis, Biallas, & Froböse, 2015). Um dieser Entwicklung entgegenzuwirken, evaluiert die vorliegende Dissertation eine mHealth Intervention bestehend aus Fitnessarmbändern und einem Online Coach, welche die Bewegung von inaktiven Beschäftigten mit Gesundheitsrisiko fördern soll. Zusätzlich wird das Occupational Health Behavior Change (OHBC) Modell als theoretische Grundlage für Veränderungen von Gesundheitsverhalten im betrieblichen Kontext entwickelt. Das OHBC Modell verbindet ein gesundheitspsychologisches Modell mit einem Modell aus dem Bereich der Arbeits-& Organisationspsychologie und stellt die Grundlage für die beiden veröffentlichten Studien der Dissertation dar. Studie I bewertet den Effekt der Intervention auf körperliche Gesundheit und arbeitsbezogenem Wohlbefinden anhand eines randomisiert kontrollierten Studiendesigns und unter Berücksichtigung von Langzeiteffekten. Beschäftigte in der Interventionsgruppe zeigten eine Verbesserung ihrer physischen Gesundheit bis zu einem Jahr nach der Intervention, jedoch wurde kein Effekt auf arbeitsbezogenes Wohlbefinden gefunden. Studie II zeigt, dass die Schrittanzahl und die Beeinträchtigung des Wohlbefindens während der Intervention verbessert werden und beantwortet weiterführende Fragen über die Effektivität der Intervention anhand von modernen statistischen Methoden. Abschließend werden die Ergebnisse der beiden Studien diskutiert und dabei die Struktur des neu kreierten OHBC Modells überprüft. Insgesamt zeigt die vorliegende Dissertation, dass Fitnessarmbändern kombiniert mit einem Online Coach eine effektive Intervention darstellen, um körperliche Aktivität, physische Gesundheit und das Wohlbefinden von Beschäftigten zu fördern. / Nowadays only 35% of the German population performs the recommended amount of physical activity (Robert Koch Institute, 2015). A reason for this inactivity might be that the amount of moderate to vigorous physical activities at work (e.g., brisk walking or moving heavy loads) has diminished by about 28% within the last decades (Wilke et al., 2015). To counteract this alarming development, this dissertation evaluates an mHealth intervention that aims to promote physical activity in the working environment. In particular, this intervention combines activity trackers with an online coach to promote physical activity among inactive employees at risk. Furthermore, this dissertation creates the Occupational Health Behavior Change (OHBC) model as a theoretical framework for changing health behavior within a work setting by combining a model of the health psychology with a model of the industrial and organizational psychology. The model functions as the basis for the two published studies of the dissertation. Study 1 evaluated the intervention by using a randomized controlled trial design and assessed long-term effects on employees’ physical health and work-related well-being. The results show that employees in the intervention group improved their physical health up to one year after the intervention whereas no effect was found for work-related well-being. Study 2 shows that the number of steps and impaired well-being were improved during the intervention and clarified several additional questions about the intervention’s efficacy by applying modern statistical methods. Finally, the findings of the studies were discussed and the theoretical structure of the newly created OHBC model was reviewed based on the studies’ results. Taken together, the overall findings show that combining activity trackers with an online coach constitutes an effective intervention for occupational health promotion with the aim of promoting physical activity, health and well-being among employees.