Search

Digital technologies such as chatbots can be used in the field of mental health. In particular, chatbots can be used to support citizens living in sparsely populated areas who face problems such as poor access to mental health services, lack of 24/7 support, barriers to engagement, lack of age appropriate support and reductions in health budgets. The aim of this study was to establish if user groups can design content for a chatbot to support the mental wellbeing of individuals in rural areas. University students and staff, mental health professionals and mental health service users (N = 78 total) were recruited to workshops across Northern Ireland, Ireland, Scotland, Finland and Sweden. The findings revealed that participants wanted a positive chatbot that was able to listen, support, inform and build a rapport with users. Gamification could be used within the chatbot to increase user engagement and retention. Content within the chatbot could include validated mental health scales and appropriate response triggers, such as signposting to external resources should the user disclose potentially harmful information or suicidal intent. Overall, the workshop participants identified user needs which can be transformed into chatbot requirements. Responsible design of mental healthcare chatbots should consider what users want or need, but also what chatbot features artificial intelligence can competently facilitate and which features mental health professionals would endorse.

The objective of this study was to understand the attitudes of professionals who work in mental health regarding the use of conversational user interfaces, or chatbots, to support people’s mental health and wellbeing. This study involves an online survey to measure the awareness and attitudes of mental healthcare professionals and experts. The findings from this survey show that more than half of the participants in the survey agreed that there are benefits associated with mental healthcare chatbots (65%, p < 0.01). The perceived importance of chatbots was also relatively high (74%, p < 0.01), with more than three-quarters (79%, p < 0.01) of respondents agreeing that mental healthcare chatbots could help their clients better manage their own health, yet chatbots are overwhelmingly perceived as not adequately understanding or displaying human emotion (86%, p < 0.01). Even though the level of personal experience with chatbots among professionals and experts in mental health has been quite low, this study shows that where they have been used, the experience has been mostly satisfactory. This study has found that as years of experience increased, there was a corresponding increase in the belief that healthcare chatbots could help clients better manage their own mental health. Godkänd;2022;Nivå 0;2022-02-04 (johcin)

The increased computational power of modern embedded devices with the widespread development of Internet infrastructure has brought the Internet of Things (IoT) era closest than ever. Recent market researches indicate that IoT product and relevant service suppliers will generate revenue exceeding $300 billion and the interconnected devices will grow to 26 billion [1, 2]. One field that can be benefited from the common advantages of IoT systems, (real time monitoring, large scale deployment etc.) is the Logistics area. In this paper we investigate a common problem in the logistics which is the automating object counting. We concentrate on uniform, disposable products stored on a pile, queue or a stack (e.g., a shelf) and examine a number of different technologies for sensing input and output through a gate to the storage area and how we can integrate them in an IoT environment. We define a set of comparison criteria with practical flavor in order to examine and evaluate twelve different types of sensors 3. The intention for our study is to form a baseline for anyone needing to implement gate-based input/output control.

This paper presents a study on the expansion of urbanWi-Fi networks and the degree of users' awareness about their characteristics. It involves an experiment contacted at the area of Serres, a Greek city of around 70,000 inhabitants. The findings revealed that although the number of Wi-Fi networks is quite high, their owners are unaware of their technical settings. As a result many networks remain either unlocked or with WEP encryption while many adjacent networks use the same channel thus reducing their performance.

Introduction In many countries, people face problems regarding access to care, 24/7 support and evidence-based support. Digital interventions and services, such as chatbots, can be one option to tackle these challenges. There is a lack knowledge regarding how mental health chatbots are developed and how to ensure that there is collaboration between mental health and digital technology experts and users. Objectives This presentation describes the phases of the development for the ChatPal mental health and wellbeing chatbot. Methods Development process was conducted in five and with four different languages. First, using an electronic survey for mental health professionals (n =190) we screened how familiar they are with chatbots and how they evaluated their potential. Second, university students and staff, mental health professionals and service users (n=78) participated in workshops to design the chatbot content. Finally, the content and scripts of chatbot were written in multi-professional and multi-national collaboration. Results ChatPal is based on the PERMAH model of positive psychology and on the idea that we all have mental health which needs boosting and support from time to time. ChatPal includes relevant mental health information, exercises, mood diaries and simple monitoring and self-care tools. Based on preliminary evaluations, the ChatPal chatbot offers an option to offer support in areas where other mental health services are lacking or are insufficient. Conclusions ChatPal is already freely available in application stores and first scientific trials are have started. Preliminary results of 4-week and subsequent 12-week in-the-wild trials will be in place at the time of EPA 2022 conference. Disclosure No significant relationships.