There is a growing number of eHealth interventionsaiming at enhancing lifestyle to address obesity. However, theexisting interventions do not take the emotional aspects ofobesity into account. Forty percent of the overweight populationis an emotional eater. Emotional eaters gain weight because ofpoor emotion regulation, not just due to bad eating habits. Weaim at developing a personalised virtual coach ‘Denk je zèlf!’providing support for self-regulation of emotions for obeseemotional eaters. This paper presents a research study protocolon validating persuasive coaching strategies in emotionregulation, based on Dialectical Behaviour Therapy, ultimatelytargeting behaviour change. Our goal is to design a personalisedeCoaching framework, allowing us to optimally translatesuccessful behaviour change mechanisms and techniques, suchas dialectical strategies, into personalised persuasive coachingstrategies.
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Er zijn uitspraken van cliënten die een bepaalde signaalwaarde hebben voor een coach en die alert maken op iets dat van belang kan zijn; die een ‘trigger’ vormen. Triggers doen een impliciet appel op een coach om iets te doen, hoe ambigu dat appel mogelijk ook is. Bijvoorbeeld als een cliënt het woord ‘moeten’ gebruikt en daarmee een norm hanteert, waarbij vaak onhelder is wat de norm is, wiens norm dat is, en waarop deze norm gebaseerd is. Of het woord ‘worden’ waarmee de cliënt demonstreert dat hij een wereld maakt waarin hem iets passief overkomt: “Ik word daar gek van!” Dit artikel is onderdeel van het Tijdschrift voor Coaching van uitgeverij Kloosterhof. Een digitaal overzicht van alle vakbladen en artikelen van Kloosterhof vind je terug op www.professioneelbegeleiden.nl
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Nowadays, one of the major current health risks is excessive sitting during work hours. Furthermore, the coronavirus disease 2019 (COVID-19) pandemic and the corresponding government state of emergency forced many people to work from home. These constraints carried out an important change in the lifestyle of people; for instance, the proportion of sitting time in front of a computer during working hours has increased considerably worldwide, particularly through the implementation of teleworking.In order to motivate people to lead a less sedentary life, the Hanze University of Applied Sciences Groningen developed an automated recommender system. We investigated the possibility of automated coaching in order to increase physical activity and help people to reach their daily step goal. By monitoring people’s activity level and progress during the day, we predict personalized recommendations. The effect of these recommendations on the individual’s activity level forms the basis for a personalized coaching approach.Step count data is used to train a machine learning algorithm that estimates the hourly probability of the individual achieving the daily steps goal. The outcome of this prediction is combined with the effect of the type recommendation for the individual to deliver the best recommendation for the individual. To show the practical usefulness, we constructed a platform to manage the data, rules, machine learning algorithms and clustering of participants. Results of initial pilots using the platform and app have given insight in the performance of and challenges associated with algorithm selection and personal model generation for the coaching package caused by the nature of the data. Further research will therefore be done in optimizing machine learning algorithms and tuning for human datasets.
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InleidingDe helft van de volwassen Nederlanders heeft matig tot ernstig overgewicht. De gecombineerde leefstijlinterventie begeleidt mensen met overgewicht naar een gezonde leefstijl. Naast fysieke contactmomenten kunnen digitale coachingsmiddelen ingezet worden om cliënten op afstand te begeleiden. In de praktijk blijkt dat digitale toepassingen nog niet ten volle worden benut. Om het gebruik te stimuleren is inzicht nodig in de ervaringen en ondersteuningsbehoeften van leefstijlcoaches ten aanzien van de inzet van digitale technologie.MethodeMet één vragenlijst en twee focusgroepgesprekken zijn data verzameld over het gebruik, de wensen en ondersteuningsbehoeften rond het inzetten van digitale coachingsmiddelen bij leefstijlcoaches. De vragenlijsten zijn descriptief geanalyseerd en de focusgroepgesprekken zijn thematisch geanalyseerd.ResultatenUit de vragenlijstresultaten (N = 79) en de focusgroepgesprekken (N = 10) bleek dat leefstijlcoaches vooral ervaring hebben opgedaan met videobellen, applicaties en online informatie. Ze gaven aan dat digitale coaching de zelfredzaamheid van hun cliënten ondersteunt. Online groepsbegeleiding wordt als minder effectief ervaren dan fysieke groepssessies, omdat er weinig interactie tussen cliënten plaatsvindt. Ook ervaren leefstijlcoaches praktische barrières bij het gebruik. Ze hebben behoefte aan uitwisseling van ervaringen met collega’s, scholing en instructies over de manier waarop digitale coachingsmiddelen ingezet kunnen worden.ConclusieLeefstijlcoaches achten digitale coachingsmiddelen van toegevoegde waarde bij de individuele begeleiding van hun cliënten. Het wegnemen van praktische barrières en het faciliteren van uitwisseling en scholing kunnen een ruimere inzet van digitale coachingsmiddelen stimuleren.--IntroductionIn the Netherlands, half of the adult population is overweight. Combined Lifestyle Interventions guide overweight clients towards a healthy lifestyle. In addition to the face-to face sessions with clients, lifestyle professionals can use digital coaching tools to guide their clients remotely. In practice it appears that the digital applications are not fully used. To stimulate the use of digital technology, insight is needed into the experiences and support needs of lifestyle professionals.MethodData about the use, wishes and support needs regarding the use of digital coaching tools among lifestyle professionals were collected by a questionnaire and two focus groups. The results of the questionnaires were analyzed descriptively and the focus groups were analyzed thematically.ResultsSeventy-nine lifestyle professionals completed the questionnaire. Ten lifestyle professionals participated in a focus group. Both methods showed that professionals have gained experience with video communication, apps and online information. Lifestyle professionals mention that these digital coaching tools support the self-reliance of clients. Online group sessions are perceived as less effective than face-to-face group sessions, because of the lack of interaction between clients. Lifestyle professionals also experience practical barriers in using digital coaching tools. To stimulate the use of digital coaching tools, they need an exchange of experience with colleagues, training and instruction on how to use these tools.ConclusionLifestyle professionals consider digital coaching tools to be an added value to individual coaching. They see opportunities for wider use in the future when practical barriers are overcome, and exchange of experience and training are facilitated.
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Human Digital Twins are an emerging type of Digital Twin used in healthcare to provide personalized support. Following this trend, we intend to elevate our virtual fitness coach, a coaching platform using wearable data on physical activity, to the level of a personalized Human Digital Twin. Preliminary investigations revealed a significant difference in performance, as measured by prediction accuracy and F1-score, between the optimal choice of machine learning algorithms for generalized and personalized processing of the available data. Based on these findings, this survey aims to establish the state of the art in the selection and application of machine learning algorithms in Human Digital Twin applications in healthcare. The survey reveals that, unlike general machine learning applications, there is a limited body of literature on optimization and the application of meta-learning in personalized Human Digital Twin solutions. As a conclusion, we provide direction for further research, formulated in the following research question: how can the optimization of human data feature engineering and personalized model selection be achieved in Human Digital Twins and can techniques such as meta-learning be of use in this context?
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Just what and how eight experienced teachers in four coaching dyads learned during a 1-year reciprocal peer coaching trajectory was examined in the present study. The learning processes were mapped by providing a detailed description of reported learning activities, reported learning outcomes, and the relations between these two. The sequences of learning activities associated with a particular type of learning outcome were next selected, coded, and analyzed using a variety of quantitative methods. The different activity sequences undertaken by the teachers during a reciprocal peer coaching trajectory were found to trigger different aspects of their professional development.
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Obesity is a complex problem worldwide. This chronic condition has many different causes. One of them is emotional eating. In about 40% of overweight people, emotional eating plays a major role. Emotional eating is the tendency to (over)eat in response to negative emotions such as stress or irritability. The target group is at a distance from care - due to shame they do not dare to seek help. Within the mental health services there are long waiting lists.The goal of this dissertation is to gain knowledge to support emotional eaters in coping with emotional eating behavior in a self-help setting that is appropriate to the time and context. To achieve this, we need to better understand the needs of emotional eaters in terms of virtual coaching and self-management. We formulated the following research question, "How can virtual coaching facilitate emotional eaters to cope with self-management of their emotional eating behavior?"Knowledge was gathered about their wishes regarding virtual support. Based on this, personas were developed, labeled with emotions, that give shape to the two prototypical problem situations of the emotional eater: 1) experiencing cravings, and 2) giving in to those cravings through binge or overeating.Participants recognized themselves in the problem situations presented, and that there is a need for virtual coaching and for greater understanding of one's own emotions and emotion regulation skills.Research was conducted on the possibilities surrounding the customized delivery of exercises in emotion regulation, which revealed that people mentioned the potential of the exercises, but that their presentation needed improvement.Virtual coaching is potentially successful for this group; participants showed themselves to be accessible and visible; there was openness and outspokenness by the participants about situations presented, etc.; there was goodwill towards digital coaching and doing exercises; the participants also showed themselves to be competent in doing exercises independently.The chance of success with regard to the development of a virtual coach has increased because the target group is open to virtual coaching where future users can work independently with their problems.
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In the present study, the role of five categories of characteristics of a reciprocal peer coaching context was studied in relation to teacher learning. Both self-reports and student perceptions were used to measure teacher learning. Data were gathered on 28 secondary school teachers (14 coaching dyads). A mixed-method approach was adopted combining quantitative and qualitative data. To study the associations between five categories of characteristics of a peer coaching context (independent variable) and teacher learning (dependent variable), questionnaire results (quantitative data) and digital diaries (qualitative data) were examined. It was found that teachers learn when they are intrinsically motivated to take part in professional development programs; when they feel a certain pressure toward experimenting with new instructional methods; and when they are able to discuss their experiences within a safe, constructive, and trustworthy reciprocal peer coaching environment.
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Background: Around 13% of the world’s population suffers from obesity. More than 40% of people with obesity display emotional eating behaviour (eating in response to negative emotions or distress). It is an alternate to moreeffective coping strategies for negative emotions. Our study explored the opportunities for helping adults with emotional overeating using a virtual coach, aiming to identify preferences for tailored coaching strategies applicable in a personal virtual coach environment. Three different coaching strategies were tested: a validating, a focus-on-change, and a dialectical one – the latter being a synthesis of the first two strategies. Methods: A qualitative study used vignettes reflecting the two most relevant situations for people with emotional eating: 1. experiencing negative emotions, with ensuing food cravings; and 2. after losing control to emotional eating, with ensuing feelings of low self-esteem. Applied design: 2 situations × 3 coaching strategies. Participants: 71 adult women (Mage 44.4/years, range 19–70, SD = 12.86) with high scores on the DEBQ-emotional eating scale (Memo 3.65, range 1.69–4.92, SD = .69) with mean BMI 30.1 (range 18–46, SD = 6.53). They were recruited via dieticians’ practices, were randomly assigned to the conditions and asked how they would face and react to thepresented coaching strategies. Data were transcribed and a thematic analysis was conducted. Results: Qualitative results showed that participants valued both the validating coaching strategy and the focus-onchange strategy, but indicated that a combination of validation and focus-on-change provides both mental supportand practical advice. Data showed that participants differed in their level of awareness of the role that emotions play in their overeating and the need for emotion-regulation skills. Conclusion: The design of the virtual coach should be based on dialectical coaching strategies as preferred by participants with emotional eating behaviour. It should be tailored to the different stages of awareness of their emotions and individual emotion-regulation skills.
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Living a sedentary lifestyle is one of the major causes of numerous health problems. To encourage employees to lead a less sedentary life, the Hanze University started a health promotion program. One of the interventions in the program was the use of an activity tracker to record participants' daily step count. The daily step count served as input for a fortnightly coaching session. In this paper, we investigate the possibility of automating part of the coaching procedure on physical activity by providing personalized feedback throughout the day on a participant's progress in achieving a personal step goal. The gathered step count data was used to train eight different machine learning algorithms to make hourly estimations of the probability of achieving a personalized, daily steps threshold. In 80% of the individual cases, the Random Forest algorithm was the best performing algorithm (mean accuracy = 0.93, range = 0.88–0.99, and mean F1-score = 0.90, range = 0.87–0.94). To demonstrate the practical usefulness of these models, we developed a proof-of-concept Web application that provides personalized feedback about whether a participant is expected to reach his or her daily threshold. We argue that the use of machine learning could become an invaluable asset in the process of automated personalized coaching. The individualized algorithms allow for predicting physical activity during the day and provides the possibility to intervene in time.
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