Student Visual Narratives Giving Voice to Positive Learning Experiences – A contribution to educational reform

The aim of this paper is to explore students’ positive experiences of their learning through the use of visual narratives, observation, and field notes in two secondary school classes in Sweden. Four themes were found: (1) knowing the needs of mind and body, (2) embracing each other in mutual support, (3) learning in a facilitating environment, and (4) using a variety of learning modalities. Students wished to have a voice in setting the curriculum, favored a variety of assignments, and sought to expand their learning environment beyond the classroom. Finally, challenges for teachers and school leaders are discussed

Young peoples' reflections about using a chatbot to promote their mental wellbeing in northern periphery areas - a qualitative study

An international research collaboration with researchers from northern Sweden, Finland, Ireland, Northern Ireland, Scotland and developed the ChatPal chatbot to explore the possibility of a multilingual chatbot to promote mental wellbeing in people of all ages. In Sweden the end users were young people. The aim of the current study was to explore and discuss Swedish young peoples' experiences of using a chatbot designed to promote their mental wellbeing. Young people aged 15-19 filled out an open-ended survey giving feedback on the ChatPal chatbot and their suggestions on improvements. A total of 122 survey responses were analysed. The qualitative content analysis of the survey responses resulted in three themes each containing two to three sub-themes. Theme 1, feeling as if someone is there when needed, which highlighted positive aspects regarding availability and accessibility. Theme 2, human-robot interaction has its limitations, which included aspects such as unnatural and impersonal conversations and limited content availability. Theme 3, usability can be improved, given technical errors due to lack of internet connection and difficulty navigating the chatbot were brought up as issues. The findings are discussed, and potential implications are offered for those designing and developing digital mental health technologies for young people

“Peers, parents and phones”—Swedish adolescents and health promotion

Many unhealthy behaviors are created during adolescence and follow the individual into adulthood. In addition, health behaviors often occur in clusters as those who are inactive are more likely to eat unhealthy food and smoke. This makes the early foundation of healthy behaviors vital. The aim was to describe and develop an understanding of adolescents’ awareness and experiences concerning health promotion. Data was collected using focus groups with a total of 28 seventh graders and was analysed with latent qualitative content analysis. One main theme was identified; being competent, ambivalent and creative at the same time. The following three subthemes also emerged: being a digital native for better and for worse, knowing what is healthy, and sometimes doing it, and considering change and having ideas of how change could be supported. The main theme elucidates how the majority of students were informed and able but they did not always prioritize their health. The concept of health promotion relies upon the engagement of the individual; however, although the students had clear ideas about how they would like to change their own behaviors, they felt a need for support. Interestingly, the students were able to make several suggestions about the kind of support that would make a difference to their adoption to more healthy modes of living. They suggested information and communication technology (ICT), for example encouraging text messages (SMS), and social support, for example parents setting rules and peers inspiring them to adhere to a healthy behavior. The knowledge gained from this study echoes our view of inclusion and this could be helpful for those who encounter the challenge of promoting health among adolescents

A mental health and wellbeing chatbot: user event log analysis

Background: Conversational user interfaces, or chatbots, are becoming more popular in the realm of digital health and well-being. While many studies focus on measuring the cause or effect of a digital intervention on people’s health and well-being (outcomes), there is a need to understand how users really engage and use a digital intervention in the real world. Objective: In this study, we examine the user logs of a mental well-being chatbot called ChatPal, which is based on the concept of positive psychology. The aim of this research is to analyze the log data from the chatbot to provide insight into usage patterns, the different types of users using clustering, and associations between the usage of the app’s features. Methods: Log data from ChatPal was analyzed to explore usage. A number of user characteristics including user tenure, unique days, mood logs recorded, conversations accessed, and total number of interactions were used with k-means clustering to identify user archetypes. Association rule mining was used to explore links between conversations. Results: ChatPal log data revealed 579 individuals older than 18 years used the app with most users being female (n=387, 67%). User interactions peaked around breakfast, lunchtime, and early evening. Clustering revealed 3 groups including “abandoning users” (n=473), “sporadic users” (n=93), and “frequent transient users” (n=13). Each cluster had distinct usage characteristics, and the features were significantly different (P&lt;.001) across each group. While all conversations within the chatbot were accessed at least once by users, the “treat yourself like a friend” conversation was the most popular, which was accessed by 29% (n=168) of users. However, only 11.7% (n=68) of users repeated this exercise more than once. Analysis of transitions between conversations revealed strong links between “treat yourself like a friend,” “soothing touch,” and “thoughts diary” among others. Association rule mining confirmed these 3 conversations as having the strongest linkages and suggested other associations between the co-use of chatbot features. Conclusions: This study has provided insight into the types of people using the ChatPal chatbot, patterns of use, and associations between the usage of the app’s features, which can be used to further develop the app by considering the features most accessed by users.Validerad;2023;Nivå 2;2023-08-14 (joosat);Funder: Interreg Northern Periphery and Arctic Programme (grant number 345)Licens fulltext: CC BY License</p

Can Chatbots Help Support a Person’s Mental Health?:Perceptions and Views from Mental Healthcare Professionals and Experts

Godkänd;2022;Nivå 0;2022-02-04 (johcin)</p

Chatbots to Support Mental Wellbeing of People Living in Rural Areas: Can User Groups Contribute to Co-design?

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

Insights and lessons learned from trialling a mental health chatbot in the wild

This study reports on the development and 'in the wild' trialling of a chatbot (ChatPal) which promotes good mental wellbeing. A stakeholder-centered approach for design was adopted where end users, mental health professionals and service users were involved in the design which was centered around positive psychology. In the wild usage of the chatbot was investigated from Jul-20-Mar-21. Exploratory analyses of usage metrics were carried out using the event log data. User tenure, unique usage days, total chatbot interactions and average daily interactions were used in K-means clustering to identify user archetypes. The chatbot was used by a variety of age groups (18-65+) and genders, mainly those living in Ireland. K-means clustering identified three clusters: sporadic users (n=4), frequent transient users (n=38) and abandoning users (n=169) each with distinct usage characteristics. This study highlights the importance of event log data analysis for making improvements to the mental health chatbot.</p