Smartphones

Many of the research approaches to smartphones actually regard them as more or less transparent points of access to other kinds of communication experiences. That is, rather than considering the smartphone as something in itself, the researchers look at how individuals use the smartphone for their communicative purposes, whether these be talking, surfing the web, using on-line data access for off-site data sources, downloading or uploading materials, or any kind of interaction with social media. They focus not so much on the smartphone itself but on the activities that people engage in with their smartphones

Wearable Computing for Health and Fitness: Exploring the Relationship between Data and Human Behaviour

Health and fitness wearable technology has recently advanced, making it easier for an individual to monitor their behaviours. Previously self generated data interacts with the user to motivate positive behaviour change, but issues arise when relating this to long term mention of wearable devices. Previous studies within this area are discussed. We also consider a new approach where data is used to support instead of motivate, through monitoring and logging to encourage reflection. Based on issues highlighted, we then make recommendations on the direction in which future work could be most beneficial

Measuring spatial and temporal features of physical interaction dynamics in the workplace

Human behavior unfolding through organisational life is a topic tackled from different disciplines, with emphasis on different aspects and with an overwhelming reliance on humans as observation instruments. Advances in pervasive technologies allow for the first time to capture and record location and time information behavior in real time, accurately, continuously and for multiparty events. This thesis concerns itself with the examination of the question: can these technologies provide insights into human behavior that current methods cannot? The way people use the buildings they work in, relate and physically interact with others, through time, is information that designers and managers make use of to create better buildings and better organisations. Current methods’ depiction of these issues - fairly static, discrete and short term, mostly dyadic - pales in comparison with the potential offered by location and time technologies. Or does it? Having found an organisation, where fifty-one workers each carried a tag sending out location and time information to one such system for six weeks, two parallel studies were conducted. One using current manual and other methods and the other the automated method developed in this thesis, both aiming to understand spatial and temporal characteristics of interpersonal behavior in the workplace. This new method is based on the concepts and measures of personal space and interaction distance that are used to define the mathematical boundaries of the behaviors subject of study, interaction and solo events. Outcome information from both methods is used to test hypotheses on some aspects of the spatial and temporal nature of knowledge work affected by interpersonal dynamics. This thesis proves that the data obtained through the technology can be converted in rich information on some aspects of workplace interaction dynamics offering unprecedented insights for designers and managers to produce better buildings and better organisations

Hazards and Risks at Rotary Screen Printing (Part 3/6): Psychosocial and Mechanical exposure

This-study, aimed to-assess psychosocial and mechanical-hazards, at-printing-section, of textile-mill. Questionnaire, observations, and document-analysis, were main-research-instruments. The-Karasek’s Job-Content-Questionnaire (JCQ), was modified, to-suit the-specifics of the-study. A-survey-questionnaire was tested-for-validity and reliability (in compliance-with the-ISO 20252:2006 (E)). The-Statistical Package for Social-Sciences (SPPS-17, version 22) was applied, to-compute the-Cronbach’s coefficient. Descriptive-statistics was employed, to-analyze both; qualitative and quantitative-data. The-majority of the-respondents (sample-size 12 machine-operators, response-rate (RR=83%) pointed-out on several psychosocial-hazards, describing their-working-tasks and conditions, as: extensive, heavy, mentally- demanding, with no sufficient-time, given, and also as not a-secure/stable-job. In-addition, they were not able to-influence the-pace of their-work, as it was, largely, dictated by the-machine-speed. Overall, this could manifest in work-related-stress. Secondly, the-respondents were not satisfied with the-state of Occupational-Health and Safety (OSH), at the-company (manifested in lack of: (1) organizational-Health and Safety-Policy; (2) establishment-position of Safety-Officer, at the-mill; and (3) first-aid-box, in the-department). Mechanical-hazards were-also-reported: some-machines were with unprotected-moving- parts, allowing possible-unprotected or unintentional-start-up. Several of the-identified-hazards can lead to-serious-physical and/or psychological-damage, or, even, mental-disorders and/or fatal-injuries, for affected-workers. Knowing the-hazards is a-paramount-step on the-road, of their-eradication; hence, this-study is important (despite the-limited-sample-size, evaluated) in-increasing awareness, on the-subject matter, and also-proposing tailored-recommendations, to-improve the-current-practices (assuming that they never perfect). In-addition, the-following-relevant-issues were-offered: Environment-setting, under which, the-subject-industry operated, in-particular, a-brief on the-current-state of local-textile-industry, and comprehensive-document-analysis of the-legal foundation, structure, and operations of OSH, in-Kenya. This-unfunded-study also raised a-number of significant-issues, adding to the-existing-body of knowledge, on the-subject-matter. Keywords: work related stress, WRS, machine guard, OSH Kenya, first aid box, textile industry

Computational and Causal Approaches on Social Media and Multimodal Sensing Data: Examining Wellbeing in Situated Contexts

A core aspect of our lives is often embedded in the communities we are situated in. The interconnectedness of our interactions and experiences intertwines our situated context with our wellbeing. A better understanding of wellbeing will help us devise proactive and tailored support strategies. However, existing methodologies to assess wellbeing suffer from limitations of scale and timeliness. These limitations are surmountable by social and ubiquitous technologies. Given its ubiquity and wide use, social media can be considered a “passive sensor” that can act as a complementary source of unobtrusive, real-time, and naturalistic data to infer wellbeing. This dissertation leverages social media in concert with multimodal sensing data, which facilitate analyzing dense and longitudinal behavior at scale. This work adopts machine learning, natural language, and causal inference analysis to infer wellbeing of individuals and collectives, particularly in situated communities, such as college campuses and workplaces. Before incorporating sensing modalities in practice, we need to account for confounds. One such confound that might impact behavior change is the phenomenon of “observer effect” --- that individuals may deviate from their typical or otherwise normal behavior because of the awareness of being “monitored”. I study this problem by leveraging the potential of longitudinal and historical behavioral data through social media. Focused on a multimodal sensing study, I conduct a causal study to measure observer effect in social media behavior, and explain the observations through existing theory in psychology and social science. The findings provide recommendations to correcting biases due to observer effect in social media sensing for human behavior and wellbeing. The novelties and contributions of this dissertation are four-fold. First, I use social media data that uniquely captures the behavior of situated communities. Second, I adopt theory-driven computational and causal methods to make conclusive research claims on wellbeing dynamics. Third, I address major challenges with methods to combine social media with multimodal sensing data for a comprehensive understanding of human behavior. Fourth, I draw interpretations and explanations of online-data-driven offline inferences. This dissertation situates the findings in an interdisciplinary context, including psychology and social science, and bears implications from theoretical, practical, design, methodological, and ethical perspectives catering to various stakeholders, including researchers, practitioners, and policymakers.Ph.D

MensSana: Design of a mental well-being self-report interface for shop floor workers

A ascensão da Indústria 4.0 trouxe consigo novas tecnologias e oportunidades que estão a mudar a natureza do trabalho, especialmente em ambientes de chão de fábrica. No entanto, essas mudanças também trouxeram novos desafios para os trabalhadores, incluindo desafios na sua saúde mental. Estes trabalhadores, em particular, enfrentam no seu trabalho estressores físicos e mentais que podem afetar seu bem-estar geral, apesar dos esforços da Indústria 4.0. O conceito de Operador 4.0 na Indústria 4.0 introduz muitos operadores, como o Operador Saudável, que enfatiza a centralidade no ser humano e visa melhorar a eficiência e o bem-estar do trabalhador por meio de tecnologias avançadas e análise de dados. Esta tese propõe o desenvolvimento de uma ferramenta protótipo, co-criada e validada no contexto da Indústria 4.0 para medir métricas do trabalhador e do local de trabalho, criando uma imagem holística do trabalhador, sua competência e bem-estar, alinhado ao conceito de um trabalhador "mais saudável" de Romero et al. Essas informações são devolvidas ao trabalhador e apresentadas de maneira legível e compreensível para identificar tendências e informar decisões futuras relacionadas ao trabalho e bem-estar.The rise of Industry 4.0 has brought about new technologies and opportunities that are changing the nature of work, particularly in factory floor settings. However, these changes have also brought about new challenges for workers, including mental health issues. Shop floor workers, in particular, face physical and mental stressors in their work that can impact their overall well-being, despite Industry 4.0 efforts. The Operator 4.0 concept in Industry 4.0 introduces a lot of operators like the Healthy Operator that emphasises human-centricity and aims to improve worker efficiency and well-being through advanced technologies and data analytics. This thesis proposes the development of a prototype tool co-created and validated in the context of Industry 4.0 to measure metrics from the worker and the workplace, creating a holistic picture of the worker, their competence and well-being in line with Romero's et al. concept of a "healthier" worker. This information is returned to the worker and presented in a readable and understandable manner to identify trends and inform future decisions concerning their work and well-being

The Impact of Career and Technical Education Programs on At-Risk Secondary Students

As the number of youth at risk for educational failure has increased, so has the debate over the appropriate nature of career and technical education (CTE) programs for such youth. The purpose of this study was to gain an understanding about the manner in which CTE programs within vocational schools affected secondary students at risk for educational failure. The educational theories of Pestalozzi, Dewey, and Rousseau served as the conceptual framework for this study by supporting the development of students\u27 intellectual, social, and emotional growth through hands-on activities rather than traditional rote learning. Data for this case study were collected through interviews and observations from 9 purposefully selected students enrolled in vocational school CTE programs. Qualitative strategies of memoing and coding supported interpretative data analysis for this case study. The participants revealed that their CTE programs had a positive impact on their lives. Findings that emerged from this study centered on job security, hands-on learning, and personal growth. These findings provide important empirical evidence of the utility of CTE programs for at-risk students. This evidence contributes to positive social change by illuminating an alternative education setting that enables at-risk students to attain and maintain academic success. This evidence also holds promise for positive social change by guiding the efforts of education stakeholders in determining the appropriate educational placement for at-risk students, placements that will promote a sense of belonging rather than alienation