383 research outputs found

    Bombadil\u27s Role in \u3ci\u3eThe Lord of the Rings\u3c/i\u3e

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    Investigates the oft-maligned Tom Bombadil chapters of The Lord of the Rings, revealing their centrality to Tolkien’s philosophy and Tom’s frequently overlooked symbolic importance at later points in the book

    User experience of mixed reality applications for healthy ageing : A systematic review

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    Mixed reality (MR) technologies are being used increasingly to support healthy ageing, but past reviews have concentrated on the efficacy of the technology. This systematic review provides a synthesis of recent experimental studies on the instrumental, emotional and non-instrumental aspects of user experience of healthy older adults in relation to MR-related applications. The review was listed on PROSPERO, utilised a modified PICOS framework, and canvassed all published work between January 2010 to July 2021 that appeared in major databases (Scopus, PubMed, CINAHL, Web of Science, and the Cochrane Library). The literature search revealed 15 eligible studies. Results indicated that all included studies measured the instrumental quality of their applications, all but two studies measured the emotional reactions triggered by gameplay, and only six studies examined participants’ perception of non-instrumental quality of the applications. All included studies focused on improving a health domain such as cognitive or physical training. This suggests that the instrumental quality of the MR applications remains the focus of user experience studies, with far fewer studies examining the non-instrumental quality of the applications. Implications for game design and future research are discussed

    Personality Traits and Economic Preparation for Retirement

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    Working paper: WP2012-279This paper assesses the effects of personality traits on economic preparation for retirement, wealth accumulation, and consumption, among persons 66 to 69 years of age. Among the five chief personality traits of neuroticism, extroversion, agreeableness, conscientiousness, and openness, we focus most on conscientiousness. We find levels of adequate economic preparation for retirement ranging from 29 percent to 90 percent and that conscientiousness positively affects the proportion of persons adequately prepared for retirement, while neuroticism negatively affects it. Both consumption and wealth increase with conscientiousness but wealth increases faster, indicating that more conscientious persons save more out of retirement resources.Social Security Administrationhttp://deepblue.lib.umich.edu/bitstream/2027.42/97019/1/wp279.pd

    Computational Notebooks as Co-Design Tools: Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models

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    Engaging end user groups with machine learning (ML) models can help align the design of predictive systems with people’s needs and expectations. We present a co-design study investigating the benefits and challenges of using computational notebooks to inform ML models with end user groups. We used a computational notebook to engage young adults, carers, and clinicians with an example ML model that predicted health risk in diabetes care. Through codesign workshops and retrospective interviews, we found that participants particularly valued using the interactive data visualisations of the computational notebook to scaffold multidisciplinary learning, anticipate benefits and harms of the example ML model, and create fictional feature importance plots to highlight care needs. Participants also reported challenges, from running code cells to managing information asymmetries and power imbalances. We discuss the potential of leveraging computational notebooks as interactive co-design tools to meet end user needs early in ML model lifecycles

    A supportive text message intervention for individuals living with endometriosis (EndoSMS) : randomized controlled pilot and feasibility trial

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    Introduction: As a high symptom burden chronic condition, endometriosis is associated with diminished quality of life (QoL) and psychological distress. The EndoSMS text message intervention was developed to inform and support individuals living with endometriosis. The primary aim of this study is to assess the acceptability, feasibility and preliminary efficacy of EndoSMS, to improve endometriosis-specific QoL and reduce psychological distress in a randomised controlled trial, compared with care as usual. We will additionally assess the impact of EndoSMS on self-efficacy for managing endometriosis. Methodology: A two-arm parallel pilot randomised controlled trial with waitlist control was conducted. Baseline assessments included QoL, psychological distress, self-efficacy, demographic and medical variables. Following baseline survey completion, participants were randomised to either the Intervention (EndoSMS: 3-months of text messaging) or Control condition. At 3-month follow-up, all participants completed an online survey reassessing outcomes, and Intervention participants provided quantitative and qualitative user feedback on EndoSMS. Results: Data collection commenced on 18 November 2021 and was completed on 30 March 2022. Descriptive statistics will be used to analyse feasibility and acceptability of the intervention. Preliminary efficacy analyses will be conducted using linear mixed models for QoL, psychological distress and self-efficacy outcomes. Subgroup analyses will also be conducted for typically underserved populations (e.g., rural/regional). Conclusion: This pilot will provide acceptability, feasibility and preliminary efficacy evidence for the impact of a supportive text messaging program for endometriosis. It will contribute to understanding how to optimally support individuals in living with and managing their endometriosis. Trial Registration: Australian New Zealand Clinical Trials Registry

    Computational Notebooks as Co-Design Tools:Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models

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    Engaging end user groups with machine learning (ML) models can help align the design of predictive systems with people's needs and expectations. We present a co-design study investigating the benefits and challenges of using computational notebooks to inform ML models with end user groups. We used a computational notebook to engage young adults, carers, and clinicians with an example ML model that predicted health risk in diabetes care. Through co-design workshops and retrospective interviews, we found that participants particularly valued using the interactive data visualisations of the computational notebook to scaffold multidisciplinary learning, anticipate benefits and harms of the example ML model, and create fictional feature importance plots to highlight care needs. Participants also reported challenges, from running code cells to managing information asymmetries and power imbalances. We discuss the potential of leveraging computational notebooks as interactive co-design tools to meet end user needs early in ML model lifecycles

    Co-design and development of EndoSMS, a supportive text message intervention for individuals living with endometriosis : mixed methods study

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    Background: Endometriosis, which affects 1 in 10 people assigned female at birth, is a chronic systemic inflammatory disease with a high symptom burden and adverse socioemotional impacts. There is a need for an accessible, cost-effective, and low-burden intervention to support individuals in managing their endometriosis condition. Objective: This study aimed to co-design and evaluate the acceptability, readability, and quality of a bank of supportive SMS text messages (EndoSMS) for individuals with endometriosis. Methods: In phase 1 of this mixed method design, 17 consumer representatives (individuals with endometriosis) participated across three 3-hour web-based (Zoom, Zoom Video Communications, Inc) focus groups. The transcripts were encoded and analyzed thematically. In phase 2, consumer representatives (n=14) and health care professionals (n=9) quantitatively rated the acceptability, readability, and appropriateness of the developed text messages in a web-based survey. All the participants initially completed a background survey assessing sociodemographic and medical factors. Results: Consumer representatives demonstrated diverse sociodemographic characteristics (Mage=33.29), varying in location (metropolitan vs rural or regional), employment, and relationship and educational statuses. Participants reached a consensus regarding the delivery of 4 SMS text messages per week, delivered randomly throughout the week and in one direction (ie, no reply), with customization for the time of day and use of personal names. Seven main areas of unmet need for which participants required assistance were identified, which subsequently became the topic areas for the developed SMS text messages: emotional health, social support, looking after and caring for your body, patient empowerment, interpersonal issues, general endometriosis information, and physical health. Through a web-based survey, 371 co-designed SMS text messages were highly rated by consumers and health care professionals as clear, useful, and appropriate for individuals with endometriosis. Readability indices (Flesch-Kincaid scale) indicated that the SMS text messages were accessible to individuals with a minimum of 7th grade high school education. Conclusions: On the basis of the needs and preferences of a diverse consumer representative group, we co-designed EndoSMS, a supportive SMS text message program for individuals with endometriosis. The initial evaluation of the SMS text messages by consumer representatives and health professionals suggested the high acceptability and suitability of the developed SMS text messages. Future studies should further evaluate the acceptability and effectiveness of EndoSMS in a broader population of individuals with endometriosis
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