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During the periods of social isolation to contain the advance of COVID-19 in 2020 and 2021, educational institutions have had the challenge to adopt technological strategies not only to ensure continuity in students’ classes, but also to support their mental health in a period of uncertainty and health risks. Loneliness is an emotional distress caused by the lack of meaningful social connections; it has increasingly affected young adults worldwide during the pandemic's social isolation and still bears psychological effects in the current post-pandemic period. In the light of this challenge, the Nonenliness App was developed as a way to bring together university communities to address issues related to loneliness and mental health disorders through a gamified and social online environment. In this paper, we present the app and its main functionalities (Beta version) and discuss the preliminary results of a pilot clinical study conducted with university students in Germany (N = 12) to verify the app's efficacy and usability, alongside the challenges faced and the next steps to be taken regarding the platform's improvement.
This work documents the rising acceptance of social robots for healthcare as well as their growing economic potential from 2017 to 2021. The comparison is based on two studies in the active assisted living (AAL) community. We first provide a brief overview of social robotics and a discussion of the economic potential of social health robots. We found that, despite the huge potential for robotic support in healthcare and domestic routines, social robots still lack the functionality to access that potential. At the same time, the study exemplifies a rise in acceptance: all health-related activities are more accepted in 2021 when in 2017, most of them with high statistical significance. When investigating the economic perspective, we found that persons are aware of the influence of cultural, spiritual, or religious beliefs. Most experts (57%), having a European background, expect the state or the government to be the key driver for establishing social robots in health and significantly prefer leasing or renting a social health robot to buying one. Nevertheless, we speculate that it might be a global financial elite which is first to adopt social robots.
Due to the increasing aging of the population, the number of elderly people requiring care is growing in most European countries. However, the number of caregivers working in nursing homes and on daily care services is declining in countries like Germany or Italy. This limits the time for interpersonal communication. Furthermore, as a result of the Covid-19 pandemic, social distancing during contact restrictions became more important, causing an additional reduction of personal interaction. This social isolation can strongly increase emotional stress. Robotic assistance could contribute to addressing this challenge on three levels: (1) supporting caregivers to respond individually to the needs of patients and residents in nursing homes; (2) observing patients’ health and emotional state; (3) complying with high hygiene standards and minimizing human contact if required. To further the research on emotional aspects and the acceptance of robotic assistance in care, we conducted two studies where elderly participants interacted with the social robot Misa. Facial expression and voice analysis were used to identify and measure the emotional state of the participants during the interaction. While interpersonal contact plays a major role in elderly care, the findings reveal that robotic assistance generates added value for both caregivers and patients and that they show emotions while interacting with them.
The transition from college to university can have a variety of psychological effects on students who need to cope with daily obligations by themselves in a new setting, which can result in loneliness and social isolation. Mobile technology, specifically mental health apps (MHapps), have been seen as promising solutions to assist university students who are facing these problems, however, there is little evidence around this topic. My research investigates how a mobile app can be designed to reduce social isolation and loneliness among university students. The Noneliness app is being developed to this end; it aims to create social opportunities through a quest-based gamified system in a secure and collaborative network of local users. Initial evaluations with the target audience provided evidence on how an app should be designed for this purpose. These results are presented and how they helped me to plan the further steps to reach my research goals. The paper is presented at MobileHCI 2020 Doctoral Consortium.
Loneliness, an emotional distress caused by the lack of meaningful social connections, has been increasingly affecting university students who need to deal with everyday situations in a new setting, especially those who have come from abroad. Currently there is little work on digital solutions to reduce loneliness. Therefore, this work describes the general design considerations for mobile apps in this context and outlines a potential solution. The mobile app Noneliness is used to this end: it aims to reduce loneliness by creating social opportunities through a quest-based gamified system in a secure and collaborative network of local users. The results of initial evaluations with the target audience are described. The results informed a user interface redesign as well as a review of the features and the gamification principles adopted.