Resting state functional connectivity provides mechanistic predictions of future changes in sedentary behavior

Sedentary behaviors are increasing at the cost of millions of dollars spent in health care and productivity losses due to physical inactivity-related deaths worldwide. Understanding the mechanistic predictors of sedentary behaviors will improve future intervention development and precision medicine approaches. It has been posited that humans have an innate attraction towards effort minimization and that inhibitory control is required to overcome this prepotent disposition. Consequently, we hypothesized that individual differences in the functional connectivity of brain regions implicated in inhibitory control and physical effort decision making at the beginning of an exercise intervention in older adults would predict the change in time spent sedentary over the course of that intervention. In 143 healthy, low-active older adults participating in a 6-month aerobic exercise intervention (with three conditions: walking, dance, stretching), we aimed to use baseline neuroimaging (resting state functional connectivity of two a priori defined seed regions), and baseline accelerometer measures of time spent sedentary to predict future pre-post changes in objectively measured time spent sedentary in daily life over the 6-month intervention. Our results demonstrated that functional connectivity between (1) the anterior cingulate cortex and the supplementary motor area and (2) the right anterior insula and the left temporoparietal/temporooccipital junction, predicted changes in time spent sedentary in the walking group. Functional connectivity of these brain regions did not predict changes in time spent sedentary in the dance nor stretch and tone conditions, but baseline time spent sedentary was predictive in these conditions. Our results add important knowledge toward understanding mechanistic associations underlying complex out-of-session sedentary behaviors within a walking intervention setting in older adults

Designing for Shareable Interfaces in the Wild

Despite excitement about the potential of interactive tabletops to support collaborative work, there have been few empirical demonstrations of their effectiveness (Marshall et al., 2011). In particular, while lab-based studies have explored the effects of individual design features, there has been a dearth of studies evaluating the success of systems in the wild. For this technology to be of value, designers and systems builders require a better understanding of how to develop and evaluate tabletop applications to be deployed in real world settings. This dissertation reports on two systems designed through a process that incorporated ethnography-style observations, iterative design and in the wild evaluation. The first study focused on collaborative learning in a medical setting. To address the fact that visitors to a hospital emergency ward were leaving with an incomplete understanding of their diagnosis and treatment, a system was prototyped in a working Emergency Room (ER) with doctors and patients. The system was found to be helpful but adoption issues hampered its impact. The second study focused on a planning application for visitors to a tourist information centre. Issues and opportunities for a successful, contextually-fitted system were addressed and it was found to be effective in supporting group planning activities by novice users, in particular, facilitating users’ first experiences, providing effective signage and offering assistance to guide the user through the application. This dissertation contributes to understanding of multi-user systems through literature review of tabletop systems, collaborative tasks, design frameworks and evaluation of prototypes. Some support was found for the claim that tabletops are a useful technology for collaboration, and several issues were discussed. Contributions to understanding in this field are delivered through design guidelines, heuristics, frameworks, and recommendations, in addition to the two case studies to help guide future tabletop system creators

Quality Model for Massive Open Online Course (MOOC) Web Content

With the philosophy of providing open education to all, Massive Open Online Course (MOOC), which introduced in 2006, has been through its first decade. Despite its popularity and worldwide acceptance, MOOC faces a few criticisms about the weaknesses of its content such as lack of clarity, unstructured, poor design and lack of fundamental initial requirements. This caused by the paucity of understanding among content providers about the facet of qualities contributes to the content. There are some previous efforts to improve the quality of MOOCs, but none focused on the content from the content providers or experts' view. As a result, most of the vital internal quality factors are neglected. Besides, the operational definition for the MOOC content quality factors is still missing or not well-defined. Therefore, this research proposes a quality model for MOOC web content as a content provider’s reference to develop quality MOOC content. In order to achieve that, three basic elements were implemented which is the content’s provider perspective, MOOC content quality dimensions and MOOC content quality factors. Development of MOOC content quality dimension is based on 7C’s model and PDCA for continuity, while the determination of factors involves the process like a revision of the possible factors from literature, factors combination and categorization. This proposed hierarchical model tends to make MOOC's learning more optimistic and beneficial to the learners through the development of high-quality content

Sound mining in the North : a guide to environmental regulation and best practices supporting social sustainability

Julkaistu versi

A Realistic Evaluation of Science Policy - Generating Learning for Spanish Public Administration Institutions

The research herein aims to generate learning for the Spanish government about the effects that “Severo Ochoa” Centres of Excellence Programme has produced; and to give an insider’s systematic critical reflection on the policy environment. The Programme was launched by the Spanish government as a high profile science policy instrument. The research uses programme theory and realistic evaluation approaches rooted in qualitative methods and analysis. As far as the author is aware, it is the first time a realistic evaluation approach has been used to evaluate science policy. The literature review focuses on approaches to science policy evaluation, in general, and science policy evaluation in Spain, specifically. It includes approaches to rethinking science policy evaluation, expands on theory-based, realistic evaluation and finishes with a focus on learning from evaluation for policy making, institutions and deliberative policy analysis. The empirical research chapters firstly explore policymakers’ conceptual framework of impact at the time the programme was launched, and then, analyses the programme’s effects in the first 20 awarded centres. The effects are explained through a realist lens, identifying context-mechanism-outcome configurations. Finally, the research conclusions identify what worked well from the policy instrument. All findings will be made available to the ministry in charge of science policy in the Spanish Government to enable policy learning from the research

Overcoming distance in virtual teams : effects of communication media, experience, and time pressure on distributed teamwork

Een virtueel team is een team waarvan de leden elkaar niet of zelden in levenden lijve ontmoeten, bijvoorbeeld omdat de teamleden verschillende werktijden hebben of op verschillende vestigingen van een organisatie werken. Anders dan reguliere teams zijn virtuele teams in grote mate afhankelijk van informatie- en communicatietechnologie. Een voorbeeld van een virtueel team is een ontwerpteam dat binnen een multinationaal bedrijf een nieuwe productlijn ontwikkelt vanaf verschillende locaties door gebruik te maken van e-mail en videovergaderingen. Een belangrijke bijdrage van het huidige onderzoek is dat het laat zien dat de beperkingen van gedistribueerd samenwerken die de wijdverbreide toepassing van virtuele teams hinderen, zijn te overkomen. Door een combinatie van relevante groupware en ervaring met samenwerken op afstand, kunnen virtuele teams werk produceren dat qua kwaliteit en hoeveelheid vergelijkbaar is met het werk van face-to-face teams. Het lijkt er dan ook op dat virtuele teams geen modeverschijnsel zijn. Virtuele teams zijn de toekomst

International Networking for Wellspring International Bilingual School Saigon

This thesis gave an overview of networking phenomenon and focused on building proposal for networking practices for the commissioner – Wellspring International Bilingual School Saigon. As international networking becomes more and more important to the development of business and education in the globalization era, Wellspring Saigon also recognized the need to international network with other education organisations and schools around the world. These future partnerships were expected to bring countless advantages to the school regarding the improvement of education programs, teachers quality and students performance. After the theory and practices of networking were studied, the final aim of the thesis was the proposal for international networking. The proposal will be used to solve current issues of decision making and suggest immediate practical applications for Wellspring Saigon. Because of the nature of the topic, qualitative method was used to provide in depth understanding of the networking phenomenon. Data collected through participant observation of the researcher during her training at Wellspring Saigon and in-depth interview with professionals and employees of Kymenlaakso University of Applied Sciences, Wellspring Saigon and Wellspring Hanoi

Human–Autonomy Teaming: Definitions, Debates, and Directions

Researchers are beginning to transition from studying human–automation interaction to human–autonomy teaming. This distinction has been highlighted in recent literature, and theoretical reasons why the psychological experience of humans interacting with autonomy may vary and affect subsequent collaboration outcomes are beginning to emerge (de Visser et al., 2018; Wynne and Lyons, 2018). In this review, we do a deep dive into human–autonomy teams (HATs) by explaining the differences between automation and autonomy and by reviewing the domain of human–human teaming to make inferences for HATs. We examine the domain of human–human teaming to extrapolate a few core factors that could have relevance for HATs. Notably, these factors involve critical social elements within teams that are central (as argued in this review) for HATs. We conclude by highlighting some research gaps that researchers should strive toward answering, which will ultimately facilitate a more nuanced and complete understanding of HATs in a variety of real-world contexts