90 research outputs found

    Exploration of virtual body-representation in adolescence : the role of age and sex in avatar customization

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    The malleable nature of the self led researchers to investigate the meaning of virtual identity by exploring virtual self-representation through avatars and its association with users\u2019 identity. The present study aims to investigate the changes in virtual body-representation in adolescence related to age levels and sex and the association with adolescents\u2019 self-esteem and body esteem. Anthropometric features, body esteem and self-esteem were used to assess adolescents\u2019 body image and identity. The scoring code of the \u201cDrawing Me\u201d graphical test was used to evaluate the avatars. The sample is composed of 63 adolescents of different ages\u2014early, middle and late adolescence\u2014balanced by sex. Results show that the creation of a digital avatar changes with age and is partially associated with adolescents\u2019 perceptions in terms of body esteem and self-esteem. Moreover, the creation of avatars occurs differently for boys, who enrich their avatars with many sexual features, than for girls, who prefer to detail their avatars\u2019 clothing to enrich them. Critical reflections and implications for psychological interventions that may use avatars to investigate adolescents\u2019 identity in integration with other tools will be discussed

    Evaluating Patient Engagement and User Experience of a Positive Technology Intervention: The H-CIM Case

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    The present chapter will provide an example of an intervention evaluation from the joint viewpoints of patient engagement and user experience. The authors evaluated H-CIM, a technological platform for the intelligent monitoring of physiological data of elderly patients performing physiotherapy exercises. Descriptive quantitative measures, behavioral observation, and qualitative interviews are integrated to evaluate H-CIM ability in (1) guaranteeing a positive experience to its users and (2) supporting them in advancing through a patient engagement development. This contribution would constitute a practical example of how these fundamental factors should be considered and evaluated when implementing positive technology for healthcare

    Do You Transfer Your Skills? From Sports to Health Management in Cancer Patients

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    Skill transfer is a process where personal cognitive and behavioral abilities are applied to contexts that are different from the one in which they were originally learned. Literature demonstrates that skill transferability is possible: for example, people can apply skills learned in sports to other life-domains (such as school, work, or health management) with the aim to improve individual characteristics and reach personal goals. To do this, several factors, such as positive communication, adequate context, a person-centered perspective, and specific strategies, are necessary. On the basis of this, the aim of this contribution is explore the relationship between sports and health management skills to enhance the coach/athlete as well as the patient/physician relationships. Useful strategies for skill transfer from sports to cancer management are shown

    A P5 Approach to m-Health : Design Suggestions for Advanced Mobile Health Technology

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    In recent years, technology has been developed as an important resource for health care management, especially in regard to chronic conditions. In the broad field of eHealth, mobile technology (mHealth) is increasingly used to empower patients not only in disease management but also in the achievement of positive experiences and experiential growth. mHealth tools are considered powerful because, unlike more traditional Internet-based tools, they allow patients to be continuously monitored and followed by their own mobile devices and to have continual access to resources (e.g., mobile apps or functions) supporting health care management activities. However, the literature has shown that, in many cases, such technology not accepted and/or adopted in the long term by its users. To address this issue, this article reviews the main factors influencing mHealth technology acceptance/adoption in health care. Finally, based on the main aspects emerging from the review, we propose an innovative approach to mHealth design and implementation, namely P5 mHealth. Relying on the P5 approach to medicine and health care, this approach provides design suggestions to address mHealth adoption issues already at the initial stages of development of the technologie

    an introduction to personalized ehealth

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    Personalized medicine can be defined as the adaptation of medical treatments to the specific characteristics of patients. This approach allows health providers to develop therapies and interventions by taking into account the heterogeneity of illnesses and external factors such as the environment, patients' needs, and lifestyle. Technology could play an important role to achieve this new approach to medicine. An example of technology's utility regards real-time monitoring of individual well-being (subjective and objective), in order to improve disease management through data-driven personalized treatment recommendations. Another important example is an interface designed based on patient's capabilities and preferences. These could improve patient-doctor communication: on one hand, patients have the possibility to improve health decision-making; on the other hand, health providers could coordinate care services more easily, because of continual access to patient's data. This contribution deepens these technologies and related opportunities for health, as well as recommendation for successful development and implementation

    user centered design approaches and methods for p5 ehealth

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    As seen throughout this book, eHealth informed by P5 approach gives full recognition to patients' contexts, needs, desires, and personal characteristics. These aspects should not only be considered as cornerstones for technology evaluation, but as fundamental guidelines for design in the first place. This relates to User-Centered Design, that is, any technology/service design where final users influence how the design itself takes place. In other words, eHealth development should be based on research data gathered among final users about their needs and contexts of use, in order to be specifically tailored on final users even before the realization of low-level prototypes. This methodological contribution presents a critical presentation, description, and evaluation of research tools to be employed not to evaluate technology's results and effectiveness, but the specific characteristics of users in order to orient design and development. Such an approach should be considered the "gold standard" of P5 eHealth solutions

    Emotional design and human-robot interaction

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    Recent years have shown an increase in the importance of emotions applied to the Design field - Emotional Design. In this sense, the emotional design aims to elicit (e.g., pleasure) or prevent (e.g., displeasure) determined emotions, during human product interaction. That is, the emotional design regulates the emotional interaction between the individual and the product (e.g., robot). Robot design has been a growing area whereby robots are interacting directly with humans in which emotions are essential in the interaction. Therefore, this paper aims, through a non-systematic literature review, to explore the application of emotional design, particularly on Human-Robot Interaction. Robot design features (e.g., appearance, expressing emotions and spatial distance) that affect emotional design are introduced. The chapter ends with a discussion and a conclusion.info:eu-repo/semantics/acceptedVersio

    data protection and ethical issues in european p5 ehealth

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    In spite of its promise to significantly ameliorate health and care practices, the momentous rise of eHealth technologies has been fraught with significant ethical and societal concerns. Focusing on the unfolding of eHealth within the European Union, this contribution will explore its underpinning regulatory landscape with regard to data protection, focusing on the impact of the recently enforced Regulation (EU) 2016/679, also known as the General Data Protection Regulation. In addition, this chapter will chart relevant ethical issues related to the emergence of novel eHealth technologies. Finally, the conclusion will briefly explore ethical issues and their solutions in the light of the P5 approach
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