Development of “LvL UP”, a smartphone-based, conversational agent-delivered holistic lifestyle intervention for the prevention of non-communicable diseases and common mental disorders

Background: Non-communicable diseases (NCDs) and common mental disorders (CMDs) are the leading causes of death and disability worldwide. Lifestyle interventions via mobile apps and conversational agents present themselves as low-cost, scalable solutions to prevent these conditions. This paper describes the rationale for, and development of, “LvL UP”, a digital lifestyle intervention aimed at preventing NCDs and CMDs.Materials and Methods: A multidisciplinary team led the intervention design process of LvL UP, involving four phases: (i) preliminary research (stakeholder consultations, systematic market reviews), (ii) selecting intervention components and developing the conceptual model, (iii) whiteboarding (prototype development), and (iv) testing and refinement. The Multiphase Optimization Strategy and the UK Medical Research Council framework for developing and evaluating complex interventions were used to guide the intervention development.Results: The first version of LvL UP features a scalable, smartphone-based, and conversational agent-delivered holistic lifestyle intervention built around three pillars: Move More (physical activity), Eat Well (nutrition and healthy eating), and Stress Less (emotional regulation and wellbeing). Intervention components include health literacy and psychoeducational coaching sessions, daily "Life Hacks” (healthy activity suggestions), breathing exercises, and journaling. Engagement components involve motivational interviewing and storytelling to deliver the coaching sessions, as well as progress feedback and gamification. Offline materials are also offered to allow users access to essential intervention content without needing a digital device.Conclusions: The development process of LvL UP led to an evidence-based and user-informed digital health intervention aimed at preventing NCDs and CMDs. LvL UP is designed to be a scalable, engaging, prevention-oriented, holistic intervention for adults at risk of NCDs and CMDs. A feasibility study, and subsequent optimisation and randomised-controlled trials are planned to further refine the intervention and establish effectiveness. The development process described here may prove helpful to other intervention developers

Social Robots in Hospitals: A Systematic Review

Hospital environments are facing new challenges this century. One of the most important is the quality of services to patients. Social robots are gaining prominence due to the advantages they offer; in particular, several of their main uses have proven beneficial during the pandemic. This study aims to shed light on the current status of the design of social robots and their interaction with patients. To this end, a systematic review was conducted using WoS and MEDLINE, and the results were exhaustive analyzed. The authors found that most of the initiatives and projects serve the el- derly and children, and specifically, that they helped these groups fight diseases such as dementia, autism spectrum disorder (ASD), cancer, and diabetes

The epidemiology of fighting in group-housed laboratory mice

Injurious home-cage aggression (fighting) in mice affects both animal welfare and scientific validity. It is arguably the most common potentially preventable morbidity in mouse facilities. Existing literature on mouse aggression almost exclusively examines territorial aggression induced by introducing a stimulus mouse into the home-cage of a singly housed mouse (i.e. the resident/intruder test). However, fighting occurring in mice living together in long-term groups under standard laboratory housing conditions has barely been studied. We performed a point-prevalence epidemiological survey of fighting at a research institution with an approximate 60,000 cage census. A subset of cages was sampled over the course of a year and factors potentially influencing home-cage fighting were recorded. Fighting was almost exclusively seen in group-housed male mice. Approximately 14% of group-housed male cages were observed with fighting animals in brief behavioral observations, but only 14% of those cages with fighting had skin injuries observable from cage-side. Thus simple cage-side checks may be missing the majority of fighting mice. Housing system (the combination of cage ventilation and bedding type), genetic background, time of year, cage location on the rack, and rack orientation in the room were significant risk factors predicting fighting. Of these predictors, only bedding type is easily manipulated to mitigate fighting. Cage ventilation and rack orientation often cannot be changed in modern vivaria, as they are baked in by cookie-cutter architectural approaches to facility design. This study emphasizes the need to invest in assessing the welfare costs of new housing and husbandry systems before implementing them

Social Robots in Hospitals: A Systematic Review

Hospital environments are facing new challenges this century. One of the most important is the quality of services to patients. Social robots are gaining prominence due to the advantages they offer; in particular, several of their main uses have proven beneficial during the pandemic. This study aims to shed light on the current status of the design of social robots and their interaction with patients. To this end, a systematic review was conducted using WoS and MEDLINE, and the results were exhaustive analyzed. The authors found that most of the initiatives and projects serve the elderly and children, and specifically, that they helped these groups fight diseases such as dementia, autism spectrum disorder (ASD), cancer, and diabetes.This work has been supported by the PERGAMEX ACTIVE project, Ref. RTI2018-096986- B-C32, funded by the Spanish Ministry of Science and Innovation

Reinforcement Learning Approaches in Social Robotics

This article surveys reinforcement learning approaches in social robotics. Reinforcement learning is a framework for decision-making problems in which an agent interacts through trial-and-error with its environment to discover an optimal behavior. Since interaction is a key component in both reinforcement learning and social robotics, it can be a well-suited approach for real-world interactions with physically embodied social robots. The scope of the paper is focused particularly on studies that include social physical robots and real-world human-robot interactions with users. We present a thorough analysis of reinforcement learning approaches in social robotics. In addition to a survey, we categorize existent reinforcement learning approaches based on the used method and the design of the reward mechanisms. Moreover, since communication capability is a prominent feature of social robots, we discuss and group the papers based on the communication medium used for reward formulation. Considering the importance of designing the reward function, we also provide a categorization of the papers based on the nature of the reward. This categorization includes three major themes: interactive reinforcement learning, intrinsically motivated methods, and task performance-driven methods. The benefits and challenges of reinforcement learning in social robotics, evaluation methods of the papers regarding whether or not they use subjective and algorithmic measures, a discussion in the view of real-world reinforcement learning challenges and proposed solutions, the points that remain to be explored, including the approaches that have thus far received less attention is also given in the paper. Thus, this paper aims to become a starting point for researchers interested in using and applying reinforcement learning methods in this particular research field

Digital Traces of the Mind::Using Smartphones to Capture Signals of Well-Being in Individuals

General context and questions Adolescents and young adults typically use their smartphone several hours a day. Although there are concerns about how such behaviour might affect their well-being, the popularity of these powerful devices also opens novel opportunities for monitoring well-being in daily life. If successful, monitoring well-being in daily life provides novel opportunities to develop future interventions that provide personalized support to individuals at the moment they require it (just-in-time adaptive interventions). Taking an interdisciplinary approach with insights from communication, computational, and psychological science, this dissertation investigated the relation between smartphone app use and well-being and developed machine learning models to estimate an individual’s well-being based on how they interact with their smartphone. To elucidate the relation between smartphone trace data and well-being and to contribute to the development of technologies for monitoring well-being in future clinical practice, this dissertation addressed two overarching questions:RQ1: Can we find empirical support for theoretically motivated relations between smartphone trace data and well-being in individuals? RQ2: Can we use smartphone trace data to monitor well-being in individuals?Aims The first aim of this dissertation was to quantify the relation between the collected smartphone trace data and momentary well-being at the sample level, but also for each individual, following recent conceptual insights and empirical findings in psychological, communication, and computational science. A strength of this personalized (or idiographic) approach is that it allows us to capture how individuals might differ in how smartphone app use is related to their well-being. Considering such interindividual differences is important to determine if some individuals might potentially benefit from spending more time on their smartphone apps whereas others do not or even experience adverse effects. The second aim of this dissertation was to develop models for monitoring well-being in daily life. The present work pursued this transdisciplinary aim by taking a machine learning approach and evaluating to what extent we might estimate an individual’s well-being based on their smartphone trace data. If such traces can be used for this purpose by helping to pinpoint when individuals are unwell, they might be a useful data source for developing future interventions that provide personalized support to individuals at the moment they require it (just-in-time adaptive interventions). With this aim, the dissertation follows current developments in psychoinformatics and psychiatry, where much research resources are invested in using smartphone traces and similar data (obtained with smartphone sensors and wearables) to develop technologies for detecting whether an individual is currently unwell or will be in the future. Data collection and analysis This work combined novel data collection techniques (digital phenotyping and experience sampling methodology) for measuring smartphone use and well-being in the daily lives of 247 student participants. For a period up to four months, a dedicated application installed on participants’ smartphones collected smartphone trace data. In the same time period, participants completed a brief smartphone-based well-being survey five times a day (for 30 days in the first month and 30 days in the fourth month; up to 300 assessments in total). At each measurement, this survey comprised questions about the participants’ momentary level of procrastination, stress, and fatigue, while sleep duration was measured in the morning. Taking a time-series and machine learning approach to analysing these data, I provide the following contributions: Chapter 2 investigates the person-specific relation between passively logged usage of different application types and momentary subjective procrastination, Chapter 3 develops machine learning methodology to estimate sleep duration using smartphone trace data, Chapter 4 combines machine learning and explainable artificial intelligence to discover smartphone-tracked digital markers of momentary subjective stress, Chapter 5 uses a personalized machine learning approach to evaluate if smartphone trace data contains behavioral signs of fatigue. Collectively, these empirical studies provide preliminary answers to the overarching questions of this dissertation.Summary of results With respect to the theoretically motivated relations between smartphone trace data and wellbeing (RQ1), we found that different patterns in smartphone trace data, from time spent on social network, messenger, video, and game applications to smartphone-tracked sleep proxies, are related to well-being in individuals. The strength and nature of this relation depends on the individual and app usage pattern under consideration. The relation between smartphone app use patterns and well-being is limited in most individuals, but relatively strong in a minority. Whereas some individuals might benefit from using specific app types, others might experience decreases in well-being when spending more time on these apps. With respect to the question whether we might use smartphone trace data to monitor well-being in individuals (RQ2), we found that smartphone trace data might be useful for this purpose in some individuals and to some extent. They appear most relevant in the context of sleep monitoring (Chapter 3) and have the potential to be included as one of several data sources for monitoring momentary procrastination (Chapter 2), stress (Chapter 4), and fatigue (Chapter 5) in daily life. Outlook Future interdisciplinary research is needed to investigate whether the relationship between smartphone use and well-being depends on the nature of the activities performed on these devices, the content they present, and the context in which they are used. Answering these questions is essential to unravel the complex puzzle of developing technologies for monitoring well-being in daily life.<br/

HANDLING WORK FROM HOME SECURITY ISSUES IN SALESFORCE

Security is a vital component when it is identified with an endeavor record or our genuine materials. To protect our home or valuable things like gold, cash we use bank storage administrations or underground secret storage spaces at home. Similarly, IT enterprises put tremendous measure of capital in expanding security to its business and the archives. Associations use cryptography procedures to get their information utilizing progressed encryption calculations like SHA-256, SHA-512, RSA-1024, RSA-2048 pieces’ key encryption and Elliptic Curve Cryptography (ECC) calculations. These industry standard calculations are difficult to break. For instance, to break RSA-2048-piece encryption key, an old-style PC needs around 300 trillion years. As indicated by the continuous examination, a quantum PC can break it in 10seconds, yet such a quantum PC doesn\u27t yet exist. Despite the fact that these cryptographic calculations guarantee an awesome degree of safety, there will be dependably a space for breaking the security. Programmers will attempt new techniques to break the security. Thus, the association likewise should continue to utilize new strategies to build the level and nature of the security. Now it is time to check how the security aspect is taken care of when the IT employees are at work from home. The 2020 year has made many professionals work from home because of the Covid-19 pandemic. The Covid-19 has transformed almost all organizations to work from home, this has become standard advice, and technology plays an important role during work from home to monitor the employee works and provide security when the work is being carried away from their respective organization. Employees\u27 information security awareness will become one of the most important parts of safeguarding against nefarious information security practices during this work from home. Most of the workers like the expediency of work from home and the flexibility provided for the employees. But in this situation, workers need guarantees that their privacy is secured when using company laptops and phones. Cyber security plays an important role in maintaining a secured environment when working from home. This work focusses on managing the security break attack in the course of work from home. The focus of the study is on dealing with security breaches that occur when salespeople operate from home. The problem of security isn\u27t new. Security issues existed prior to the lockdown or pandemic, but because the staff was working from the office at the time, the system administrator was available to address them. However, how can an employee\u27s laptop and account be secured when working from home? MFH\u27s salesforce has leveraged a variety of innovative technologies to address security concerns during their tenure. Because the IT behemoth Salesforce has made it possible for all employees, including freshly hired ones, to seek WFH on a permanent basis. To address the security breach difficulties faced by employees, the organization used a number of new approaches, including tracking working hours, raising password difficulty, employing VPN (virtual private network), mandating video during meetings, continuously checking right to use control, and MFA (multi-factor authentication). Improvement of existing multi-factor authentication (MFA) is the focused topic discussed in the thesis. To add an additional step of protection to the login process Blockchain technology is proposed and to identify the employee identification a hybrid recognition model is proposed using face and fingerprint recognition. This leads to the employee going through multiple processes to authenticate his or her identity in numerous ways in order to access the business laptop. This procedure entails connecting his or her laptop to his or her mobile phone or email account. Keywords: MFA, WFH, Cyber Security, Encryption, Decryption

Developing and evaluating MindMax: promoting mental wellbeing through an Australian Football League-themed app incorporating applied games (including gamification), psychoeducation, and social connectedness

Gamification is increasingly being used as a behavioural change strategy to increase engagement with apps and technologies for mental health and wellbeing. While there is promising evidence supporting the effectiveness of individual gamification elements, there remains little evidence for its overall effectiveness. Furthermore, a lack of consistency in how ‘gamification’ and related terms (such as ‘applied games’, an umbrella term of which gamification is one type) are used has been observed within and across multiple academic fields. This contributes to the difficulty of studying gamification and decreases its accessibility to people unfamiliar with applied games. Finally, gamification has also been critiqued by both game developers and by academics for its reliance on extrinsic motivators and for the messages that gamified systems may unintentionally convey. In this context, the aims of this thesis were fourfold: 1) to iteratively co-design and develop a gamified app for mental health and wellbeing, 2) to evaluate the eventuating app, 3) to consolidate literature on gamification for mental health and wellbeing, and 4) to synthesise findings into practical guidelines for implementing gamification for mental health and wellbeing. Chapter 2 reports the first study which addresses the first aim of this thesis. Six participatory design workshops were conducted to support the development of MindMax, an Australian Football League (AFL)-themed mobile phone app aimed at AFL fans (particularly male ones) that incorporates applied games, psychoeducation, and social connectedness. Findings from these workshops were independently knowledge translated and fed back to the software development team, resulting in a MindMax prototype. This prototype was further tested with 15 one-on-one user experience testing interviews at three separate time points to iteratively refine MindMax’s design and delivery of its content. The findings of this study suggest that broadly, participants endorsed a customisable user experience with activities requiring active user participation. These specifications were reflected in the continual software updates made to MindMax. Chapters 3 and 4 report the second and third studies which address the second aim of this thesis. As regular content, performance, and aesthetic updates were applied to MindMax (following the model of the wider tech industry), a naturalistic longitudinal trial, described in Chapter 3, was deemed to be the most appropriate systematic evaluation method. In this study, participants (n=313) were given access to MindMax and asked to use it at their leisure, and surveys were sent out at multiple time points to assess their wellbeing, resilience, and help-seeking intentions. Increases in flourishing (60-day only), sense of connection to MindMax, and impersonal help-seeking intentions were observed over 30 and 60 days, suggesting that Internet-based interventions like MindMax can contribute to their users’ social connectedness and encourage their help-seeking. The third study, described in Chapter 4, reports a secondary analysis of data collected for Chapter 3, and further explores participants’ help-seeking intentions and their links to wellbeing, resilience, gender, and age. An explanatory factor analysis was conducted on Day 1 General Help-Seeking Questionnaire (GHSQ) data (n=530), with the best fitting solution resulting in three factors: personal sources, health professionals, and distal sources. In addition to providing more evidence that younger people aged 16–35 categorise apps and technologies for mental health and wellbeing like MindMax alongside other distal social sources such as phone helplines and work or school, our findings also suggest that the best way to target individuals who are least likely to seek help, particularly men, may be through these distal sources as well. Chapter 5 reports the fourth study, which addresses the third aim. In order to consolidate literature on gamification for mental health and wellbeing, this systematic review identified 70 papers that collectively reported on 50 apps and technologies for improving mental health and wellbeing. These papers were coded for gamification element, mental health and wellbeing domain, and researchers’ justification for applying gamification to improving mental health and wellbeing. This study resulted in two major findings: first, that the current application of gamification for mental health and wellbeing does not resemble the heavily critiqued mainstream application that relies on extrinsic motivators; and second, that many authors of the reviewed papers provided little or no justification for why they applied gamification to their mental health and wellbeing interventions. While the former finding is encouraging, the latter suggests that the gamification of mental health and wellbeing is not theory-driven, and is a cause for concern. Finally, to address the final aim of this thesis, all study learnings were synthesised into practical guidelines for implementing gamification for mental health and wellbeing. First, it is important to assess the suitability of implementing gamification into the intervention. Second, this implementation should ideally be integrated at a deeper, systemic level, with the explicitly qualified intention to support users, evidence-based processes, and user engagement with these processes. Third, it is important to assess the acceptability of this gamified intervention throughout its development, involving all relevant stakeholders (particularly representative end user populations). Fourth, it is important to evaluate the impact of this gamified intervention. Fifth, and finally, comprehensive and detailed documentation of this process should be provided at all stages of this process. This thesis contributes to a growing literature on the increasing importance and relevance of Internet-based resources and apps and technologies for mental health and wellbeing, particularly for young people. Given the dominance of games in society and culture across history, and the increasing contemporary prominence of digital games (also known as video games) in particular, gamification is uniquely positioned to have the potential to make large contributions to mental health and wellbeing research. In this context, this thesis contributes a systematically derived operationalisation of gamification, an evaluation of a gamified app for mental health and wellbeing, and best practice guidelines for implementing gamification for mental health and wellbeing, thereby providing frameworks that future implementations of gamified mental health and wellbeing interventions and initiatives may find useful