Supporting Collaborative Health Tracking in the Hospital: Patients' Perspectives

The hospital setting creates a high-stakes environment where patients' lives depend on accurate tracking of health data. Despite recent work emphasizing the importance of patients' engagement in their own health care, less is known about how patients track their health and care in the hospital. Through interviews and design probes, we investigated hospitalized patients' tracking activity and analyzed our results using the stage-based personal informatics model. We used this model to understand how to support the tracking needs of hospitalized patients at each stage. In this paper, we discuss hospitalized patients' needs for collaboratively tracking their health with their care team. We suggest future extensions of the stage-based model to accommodate collaborative tracking situations, such as hospitals, where data is collected, analyzed, and acted on by multiple people. Our findings uncover new directions for HCI research and highlight ways to support patients in tracking their care and improving patient safety

High School Teachers' Experiences of Consumer Technologies for Stress Management During the COVID-19 Pandemic: Qualitative Study

BACKGROUND: Stress in education is an adverse reaction that teachers have to excessive pressures or other types of demands placed on them. Consumer digital technologies are already being used by teachers for stress management, albeit not in a systematic way. Understanding teachers' experiences and the long-term use of technologies to support stress self-management in the educational context is essential for meaningful insight into the value, opportunity, and benefits of use. OBJECTIVE: The aim of this study was first to understand teachers' experiences of consumer technologies for stress management. They were chosen by teachers from a taxonomy tailored to their stress management. The second aim was to explore whether their experiences of use evolved over time as teachers transitioned from working at home during lockdown to working full time on school premises. METHODS: A longitudinal study intended for 6 weeks in the summer term (2020) was extended because of COVID-19 into the autumn term, lasting up to 27 weeks. Teachers chose to use a Withings smartwatch or the Wysa, Daylio, or Teacher Tapp apps. In total, 2 semistructured interviews and web-based surveys were conducted with 8 teachers in South London in the summer term, and 6 (75%) of them took part in a third interview in the autumn term. The interviews were analyzed by creating case studies and conducting cross-case analysis. RESULTS: The teachers described that the data captured or shared by the technology powerfully illustrated the physical and psychosocial toll of their work. This insight gave teachers permission to destress and self-care. The social-emotional confidence generated also led to empathy toward colleagues, and a virtuous cycle of knowledge, self-compassion, permission, and stress management action was demonstrated. Although the COVID-19 pandemic added a new source of stress, it also meant that teachers' stress management experiences could be contrasted between working from home and then back in school. More intentional self-care was demonstrated when back in school, sometimes without the need to refer to the data or technology. CONCLUSIONS: The findings of this study demonstrate that taking a situated approach to understand the real-world, existential significance and value of data generates contextually informed insights. Where a strategic personal choice of consumer technology is enabled for high school heads of year, the data generated are perceived as holistic, with personal and professional salience, and are motivational in the educational context. Technology adoption was aided by the pandemic conditions of home working, and this flexibility would otherwise need workplace facilitation. These findings add to the value proposition of technologies for individual stress management and workforce health outcomes pertinent to educators, policy makers, and designers

Flow in VR: A Study on the Relationships Between Preconditions, Experience and Continued Use

Flow is characterized as an autotelic experience where action and awareness merge, there is high concentration on task and little attention is paid to time or self. It is believed that VR has a powerful affordance for inducing the flow state, as VR is, at least anecdotally, a technology that transports users to immersive realities, which can facilitate flow. However, VR imposes usability challenges that may inhibit flow. This research investigates flow in VR and its characteristics, determinants and outcomes through a survey (n = 681) and Structural Equation Modeling (SEM). The results indicate that flow in VR is positively association with intentions to continue VR use and longer VR sessions

Culturally-Responsive Canadian Postsecondary Performance Measurement

Student success has multiple meanings; however, the postpositivist bias prevalent in Canadian postsecondary education restricts how student success is defined and measured. When we standardize measures of student success we assume that the student experience is homogeneous and risk implementing policies and programs based on insufficient information. Unless new evaluation approaches are adopted, it is unlikely postsecondary institutions will generate the knowledge and wisdom needed to serve their regional, national, and international learners and communities. Postsecondary education leaders must be cognizant of the legacy of colonialism and consider cultural congruency between performance measurement systems and local context. This organizational improvement plan proposes a theory of action model for culturally-responsive postsecondary performance measurement that leverages shared governance through participatory, emergent, and appreciative processes and qualitative evaluation methodologies. Perception and socially constructed norms play a pivotal role in addressing the postsecondary education sector’s quantitative bias; therefore, an interpretivist lens is used to critically examine the cultural appropriateness of quality assurance and measurement processes at a Canadian university. Culturally-responsive performance measurement requires consideration of diverse worldviews and methodologies. Qualitative evaluation can amplify the lived experiences of students and inform complex policy issues through examination of phenomena and local variability. The next generation of quality assurance requires inclusive decision-making structures to generate collective wisdom and cultivate an ethic of community by engaging community members, faculty, staff, and students as change agents

IoT Game-based Learning Model in Education

The subject of this paper is the development of a game-based learning model based on the Internet of Things (IoT). The main problem discussed in the paper is to investigate the possibility of implementing a game-based learning model in an interactive educational environment that will increase student interest and enhance learning outcomes. The developed model will be based on ubiquitous computing technologies and integrate IoT, mobile, and augmented reality technologies. The proposed model integrates with existing components of the educational infrastructure. As part of the model evaluation, testing and measurement of relevant parameters that affect the effectiveness of the proposed model was carried out

Decision-making for UBC High Performance Buildings: Multi-criteria Analysis for Integrated Life Cycle Models

The current paradigm of building design is evolving rapidly and building developers are beginning to dopt sustainable building practices across Canada. Attaining a sustainable built environment is challenged by the complexity of decision-making and stakeholders need to examine a large number of sustainability metrics to support a 'good decision'. Each sustainable building development has a design path unique to the values of the building stakeholders.This project outlines a framework that assists decision-makers in achieving a building design that is closely aligned to their values and requirements. This paper outlines a decision-support system that brings together a broad set of sustainability metrcs, both quantitative and qualitative, into a multi-criteria decision analysis tool where decision-makers can contrast and compare the simulated performance of competing building dsigns. The performance modeling tools include environmental life cycle analysis (Athena EIE), financial modeling by life cycle costing (UBC ID), energy modeling (eQuest). Benchmark information, required for informing decision-makers of baseline conditions, is derived from the UBC_LCA database, UBCPT, and UBC Operations data. Social benchmarks are determined from the UBC Post occupancy protocol under development at UBC. These metrics and benchmarks are synthesized and integrated into the multi-critera decision analysis framework as optional attributes from which decision- makers can select as decision criteria. set of sustainability indicators are developed from metrics specified by ISO 21912-1, LBL, ASHRAE andUBCs own criteria developed as part of the UBC Buchanan and CIRS projects. Finally, the paper discusses how decision-makers can express their preference for each critria so that their expertise and values are accurately reflected when analyzing the criteria performance results. Methods to check for 'future-proofing' are also discussed in terms of checking the life cycle models for resilience to future change

Self “Sensor”Ship: An Interdisciplinary Investigation of the Persuasiveness, Social Implications, and Ethical Design of Self-Sensoring Prescriptive Applications

This dissertation research investigates the social implications of computing artifacts that make use of sensor driven self-quantification to implicitly or explicitly direct user behaviors. These technologies are referred to here as self-sensoring prescriptive applications (SSPA’s). This genre of technological application has a strong presence in healthcare as a means to monitor health, modify behavior, improve health outcomes, and reduce medical costs. However, the commercial sector is quickly adopting SSPA’s as a means to monitor and/or modify consumer behaviors as well (Swan, 2013). These wearable devices typically monitor factors such as movement, heartrate, and respiration; ostensibly to guide the users to better or more informed choices about their physical fitness (Lee & Drake, 2013; Swan, 2012b). However, applications that claim to use biosensor data to assist in mood maintenance and control are entering the market (Bolluyt, 2015), and applications to aid in decision making about consumer products are on the horizon as well (Swan, 2012b). Interestingly, there is little existing research that investigates the direct impact biosensor data have on decision making, nor on the risks, benefits, or regulation of such technologies. The research presented here is inspired by a number of separate but related gaps in existing literature about the social implications of SSPA’s. First, how SSPA’s impact individual and group decision making and attitude formation within non-medicalcare domains (e.g. will a message about what product to buy be more persuasive if it claims to have based the recommendation on your biometric information?). Second, how the design and designers of SSPA’s shape social behaviors and third, how these factors are or are not being considered in future design and public policy decisions

The Data Pharmacy: Wearables from Sensing to Stimulation

Taking up the therapeutic discourse of contemporary neuro wearables, this essay explores how models of the quantified self are increasingly supplemented by pharmacological mediations. We argue that contemporary neuro wearables are more than instruments for self-tracking; they are increasingly devices of therapeutic transmission. Pharmacological media rely on digital wellness ideologies and offer datafied solutions to the toxicity of both big tech and big pharma. Beyond questions of efficacy—that is, the question of whether neuro devices do what they say—this essay focuses on matters of cultural framing and aspiration that underpin the wellness industry. Our interest is to supplement current understandings of bio-technical management by tracing the emergence of what we term the data pharmacy—where data and pharma industries and cultural imaginaries are increasingly fused within an emergent paradigm of computational wellness. This pivot in big tech’s wellness portfolio translates existing biodata and health analytics into pharmacological techniques that aim to automate ways of thinking, feeling, and being