Zoekresultaten

Sense and Sensibility in COVID-19 medical credentials

This white paper is presented by the Ethics Working Group of the uNLock Consortium This white paper presents findings of the Ethics Working Group, from the conceptual phase of investigation into the ethical issues of the uNLock solution, providing identity management solutions for sharing and presentation of medical COVID-19 credentials (test results) in the context of healthcare institutions. We have provided an outline of direct and indirect stakeholders for the uNLock solution and mapped values, benefits, and harms to the respective stakeholders. The resulting conceptual framework has allowed us to lay down key norms and principles of Self Sovereign Identity (SSI) in the specific context of uNLock solution. We hope that adherence to these norms and principles could serve as a groundwork for anticipatory mitigation of moral risk and hazards stemming from the implementation of uNLock solution and similar solutions. Our findings suggest that even early stage of conceptual investigation in the framework of Value Sensitive Design (VSD), reveals numerous ethical issues. The proposed implementation of the uNLock app in the healthcare context did not proceed further than prototype stage, thus our investigation was limited to the conceptual stage, and did not involve the practical implementation of VSD method involving translation of norms and values into engineering requirements. Nevertheless, our findings suggest that the implementation of VSD method in this context is a promising approach that helps to identify moral conflicts and risks at a very early stage of technological development of SSI solutions. Furthermore, we would like to stress that in the light of our findings it became painfully obvious that hasty implementation of medical credentials system without thorough ethical assessment, risks creating more ethical issues rather than addressing existing ones.

The power of Social Media in a Pandemic:

Purpose: This study examined how the catering business quickly responded and recovered from the threats caused by COVID-19 with the use of social media in Beijing, China. It evidences how various catering businesses in Beijing continued to pursue their businesses after restrictive social distancing measures were imposed. Methodology: Unstructured face-to-face interviews were conducted with nine restaurant managers in Beijing, who worked during both waves of the pandemic in the spring and fall of 2020. Findings: COVID-19 further strengthened the smoke-free law enforcement in Beijing for the catering business. The Chinese consumers were found to replace restaurant consumption with stay-at-home delivery. Caterers consider social media platforms as essential tools for digital-led customer interaction in a pandemic, but also show concerns about the market power of these platforms. The Chinese government successfully implemented its health tracking app into popular local social media platforms in the battle against COVID-19, and enabled businesses to continue functioning. Value: COVID-19 not only disrupts our daily lives, but it has significantly impacted and improved a smoke-free environment, and it has accelerated the catering business to actively embrace technology which led to remarkable innovations. Integrating health tracking apps into popular and highly penetrated social media platforms is considered as one significant success factor for the containment of the coronavirus and a great help in restoring consumer confidence, leading to purchasing action. This research offers a Chinese inside view of the power of social media to enhance customer interaction and business performance even during a pandemic, profiting both businesses and consumers alike. Implications are raised for similar integration of health apps elsewhere.

Using Digital Twins for AI enabled Virtual Coaching

Nowadays, one of the major current health risks is excessive sitting during work hours. Furthermore, the coronavirus disease 2019 (COVID-19) pandemic and the corresponding government state of emergency forced many people to work from home. These constraints carried out an important change in the lifestyle of people; for instance, the proportion of sitting time in front of a computer during working hours has increased considerably worldwide, particularly through the implementation of teleworking.In order to motivate people to lead a less sedentary life, the Hanze University of Applied Sciences Groningen developed an automated recommender system. We investigated the possibility of automated coaching in order to increase physical activity and help people to reach their daily step goal. By monitoring people’s activity level and progress during the day, we predict personalized recommendations. The effect of these recommendations on the individual’s activity level forms the basis for a personalized coaching approach.Step count data is used to train a machine learning algorithm that estimates the hourly probability of the individual achieving the daily steps goal. The outcome of this prediction is combined with the effect of the type recommendation for the individual to deliver the best recommendation for the individual. To show the practical usefulness, we constructed a platform to manage the data, rules, machine learning algorithms and clustering of participants. Results of initial pilots using the platform and app have given insight in the performance of and challenges associated with algorithm selection and personal model generation for the coaching package caused by the nature of the data. Further research will therefore be done in optimizing machine learning algorithms and tuning for human datasets.

LBC-BUAS Onderoeksresultaten (Fieldlab Evenementen)

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