From interactions to transactions : designing the trust experience for business-to-consumer electronic commerce

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Designing Collaborative Technology-based Interventions for Mental Health Management

In addition to the impact on public health, especially after the emergence of the COVID-19 pandemic, mental health problems have been amplified globally, leading to higher levels of anxiety and depression especially among young adults, who are among the most vulnerable populations. Due to the specific social context and newfound challenges surrounding university life, psychological distress affects university students at a disproportional higher rate when compared to the general population. With the increase in requests for university therapy services, digital mental health tools developed in conjunction with in-person therapy offer a pioneering solution for expanding the potential and reach of these services while overcoming socioeconomic, geographical, and educational barriers. This thesis explores the process of collaboratively developing a mobile applica tion named Toolbox for mental well-being self-management alongside the psychology counselling services at the University of Madeira. By exploring providers’ perspectives and concerns, this study highlights how a digital solution designed by clinicians could address daily challenges and facilitate treatment protocols. This study presents the potential a mental health app has for improving clinical interventions in the university environment and helping providers of mental health services. The integration of a mental health platform into therapeutic practices can better inform the clients’ course of treatment, particularly due to the collection and analysis of user behaviour-tracking information. It also encourages users to learn about mental health and develop a closer connection with their psychologists. From a methodological standpoint, it proposes the development of mental health app should be conducted in an adaptable process that accommodates the stakehold ers’ expertise and inputs under a cross-disciplinary approach to developing a digital platform that addresses students’ mental health.Além do impacto na saúde pública, especialmente com o surgimento da pandemia COVID-19, os problemas de saúde mental aumentaram globalmente, levando a níveis mais elevados de ansiedade e depressão principalmente entre jovens adultos, uma das populações mais vulneráveis. Devido ao contexto social e desafios que envolvem a experiência universitária, o sofrimento psicológico atinge os estudantes universitários de um modo desproporcio nalmente maior aquando comparado com a população em geral. Com o aumento dos pedidos nos serviços de apoio psicológico, as ferramentas digitais para saúde mental desenvolvidas em conjunto com a terapia presencial oferecem uma solução pioneira para ampliar o alcance destes serviços, superando barreiras socioeconómicas, geográ ficas e educacionais. Esta tese explora o processo de desenvolvimento colaborativo de uma aplicação móvel denominada Toolbox para a autogestão do bem-estar psicológico em conjunto com o serviço de psicologia da Universidade da Madeira. Ao explorar as perspetivas e preocupações dos psicólogos, este estudo evidencia o modo como uma solução digital projetada por profissionais de saúde pode ajudar a fazer face aos desafios do dia-a-dia e facilitar o processo terapêutico. Este estudo apresenta o potencial que uma app para saúde mental detém para me lhorar as intervenções clínicas em ambiente universitário, auxiliando o trabalho dos psicólogos dos serviços de apoio psicológico. A integração de uma plataforma para saúde mental em prática clinicas melhora o processo terapêutico dos clientes, especial mente aquando a recolha e análise de dados de monitorização comportamental. Estas plataformas também incentivam a aprendizagem sobre saúde mental dos utilizadores e o desenvolvimento uma ligação mais próxima com psicólogos. Do ponto de vista metodológico, este estudo propõe que o desenvolvimento de uma app para saúde mental deve ser conduzido num processo adaptativo, que acomode o conhecimento especializado e as contribuições dos parceiros de forma interdisciplinar no desenvolvimento de uma plataforma digital para a saúde mental de estudantes

Developing a distributed electronic health-record store for India

The DIGHT project is addressing the problem of building a scalable and highly available information store for the Electronic Health Records (EHRs) of the over one billion citizens of India

Interaction Design: Foundations, Experiments

Interaction Design: Foundations, Experiments is the result of a series of projects, experiments and curricula aimed at investigating the foundations of interaction design in particular and design research in general. The first part of the book - Foundations - deals with foundational theoretical issues in interaction design. An analysis of two categorical mistakes -the empirical and interactive fallacies- forms a background to a discussion of interaction design as act design and of computational technology as material in design. The second part of the book - Experiments - describes a range of design methods, programs and examples that have been used to probe foundational issues through systematic questioning of what is given. Based on experimental design work such as Slow Technology, Abstract Information Displays, Design for Sound Hiders, Zero Expression Fashion, and IT+Textiles, this section also explores how design experiments can play a central role when developing new design theory

Associations of pulmonary parameters with accelerometer data

Some papers of this thesis are not available in Munin: Paper 2. Dias, A.; Gorzelniak, L.; Jorres, R.; Fischer, R.; Hartvigsen, G.; Horsch,A.: 'Assessing Physical Activity in the daily life of cystic fibrosis patients', Journal of Pervasive Computing (2012), vol. 8(6):837–844. Available at http://dx.doi.org/10.1016/j.pmcj.2012.08.001 Paper 3. Gorzelniak, L.; Dias, A.; Schultz,K.; Wittmann, M.; Karrasch, S.; Jorres, R.; Horsch,A.: 'Comparison of recording positions of physical activity in severe COPD', Journal Of Chronic Obstructive Pulmonary Disease (2012), vol. 9(5):528-537. Available at http://dx.doi.org/10.3109/15412555.2012.708066 Paper 4. Dias, A.; Gorzelniak, L.; Schultz,K.;Wittmann, M.; Rudnik, J.;Jorres, R.; Horsch,A.: 'Classification of exacerbation episodes in Chronic Obstructive Pulmonary Disease patients' (manuscript) Paper 5. Ortlieb, S.; Gorzelniak, L.; Dias,A.; Schulz, H.; Horsch,A.: 'Recommendations for Collecting and Processing Accelerometry Data in Older Healthy People' (manuscript) Additional paper 1. Dias, A.; Gorzelniak, L.; Doring, A.; Hartvigsen, G.; Horsch, A.: 'Extracting Gait Parameters from Raw Data Accelerometers', Studies in Health Technology and Informatics (2011), vol. 169:445-449. Additional paper 2. Gorzelniak, L.; Dias, A.; Soyer, H.; Knoll, A.; Horsch, A.; 'Using a Robotic Arm to Assess the Variability of Motion Sensors', Studies in Health Technology and Informatics (2011), vol. 169:897-901. Additional paper 3. Chen, C.; Dias, A.; Knoll, A.; Horsch, A.: 'A Prototype of a Wireless Body Sensor Network for Healthcare Monitoring', Medical informatics in Europe (2011). Additional paper 4. Skrovseth, S.; Dias, A.; Gorzelniak, L.; Godtliebsen, F.; Horsch, A.: 'Scale-space methods for live processing of sensor data', Medical informatics in Europe (2012). Additional paper 7. Peters A, Döring A, Ladwig KH, Meisinger C, Linkohr B, Autenrieth C, Baumeister SE, Behr J, Bergner A, Bickel H, Bidlingmaier M, Dias A, Emeny RT, Fischer B, Grill E, Gorzelniak L, Hänsch H, Heidbreder S, Heier M, Horsch A, Huber D, Huber RM, Jörres RA, Kääb S, Karrasch S, Kirchberger I, Klug G, Kranz B, Kuch B, Lacruz ME, Lang O, Mielck A, Nowak D, Perz S, Schneider A, Schulz H, Müller M, Seidl H, Strobl R, Thorand B, Wende R, Weidenhammer W, Zimmermann AK, Wichmann HE, Holle R.: 'Multimorbidity and successful aging: the populationbased KORA-Age study', Zeitschrift für Gerontologie und Geriatrie (2011), vol. 44(2):41-54. Available at http://dx.doi.org/10.1007/s00391-011-0245-7In Europe it is estimated that the number of elderly people aged above 65 will have doubled by 2060. In several chronic pulmonary diseases patients can suffer recurrent exacerbation episodes that can lead to severe breathing or death. In this thesis we explore the association of physical activity to lung health parameters, focusing on cystic fibrosis and chronic obstructive pulmonary disease patients and a group of the general population. The main goals of the thesis were to assess the feasibility of classifying exacerbation episodes in cystic fibrosis and chronic obstructive pulmonary disease patients and to implement new parameters in the context of a cohort study. We conducted four distinct studies involving in total over 250 subjects. We asked them to wear a set of accelerometers, including GT3X and RT3, recording physical activity for up to 14 days. The data was processed and several features extracted that were used as inputs in three different classification algorithms: logarithmic regression, neural networks and support vector machines. We achieved an area under the curve of 67% with logarithmic regression, 83% with neural networks and 90% with support vector machines when classifying exacerbation episodes in chronic obstructive pulmonary disease. A neural network was achieved an accuracy of 85% distinguishing cystic fibrosis patients from healthy controls. We proposed, extracted and tested a large set of physical activity parameters for use in KORA-Age. The work on classification of exacerbations in COPD patients is, to our knowledge, the first attempt based on features from accelerometer data. Overall SVM showed to be the most robust classifier with an area under the curve of 90%. Nevertheless the number of patients and episodes is too low to draw definitive conclusions. The next step to classify exacerbations in COPD is to design a study with a statistically significant number of exacerbation episodes

Proceedings of the 3rd Open Source Geospatial Research & Education Symposium OGRS 2014

The third Open Source Geospatial Research & Education Symposium (OGRS) was held in Helsinki, Finland, on 10 to 13 June 2014. The symposium was hosted and organized by the Department of Civil and Environmental Engineering, Aalto University School of Engineering, in partnership with the OGRS Community, on the Espoo campus of Aalto University. These proceedings contain the 20 papers presented at the symposium. OGRS is a meeting dedicated to exchanging ideas in and results from the development and use of open source geospatial software in both research and education.  The symposium offers several opportunities for discussing, learning, and presenting results, principles, methods and practices while supporting a primary theme: how to carry out research and educate academic students using, contributing to, and launching open source geospatial initiatives. Participating in open source initiatives can potentially boost innovation as a value creating process requiring joint collaborations between academia, foundations, associations, developer communities and industry. Additionally, open source software can improve the efficiency and impact of university education by introducing open and freely usable tools and research results to students, and encouraging them to get involved in projects. This may eventually lead to new community projects and businesses. The symposium contributes to the validation of the open source model in research and education in geoinformatics