Designing Chatbots for Guiding Online Peer Support Conversations for Adults with ADHD

Nordberg, Oda Elise; Wake, Jo Dugstad; Nordby, Emilie Sektnan; Flobak, Eivind; Nordgreen, Tine; Mukhiya, Suresh Kumar; Guribye, Frode

doi:10.1007/978-3-030-39540-7_8

Cited by 13 publications

(4 citation statements)

References 34 publications

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“…Participants used a prototype of the program for one or two weeks. As with other early dialogue systems ( Nordberg et al, 2019 ), we employed a Wizard-of-Oz method wherein researchers carry out expected actions of the system, allowing for feedback on the content and protocol before automating it. Participants were informed that pre-scripted messages would be sent by researchers.…”

Section: Methodsmentioning

confidence: 99%

A text messaging intervention to support the mental health of young adults: User engagement and feedback from a field trial of an intervention prototype

Kornfield,

Stamatis,

Bhattacharjee

et al. 2023

Internet Interventions

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Section: Methodsmentioning

confidence: 99%

A text messaging intervention to support the mental health of young adults: User engagement and feedback from a field trial of an intervention prototype

Kornfield,

Stamatis,

Bhattacharjee

et al. 2023

Internet Interventions

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“…Our investigation of the state-of-the-art of what would be appropriate algorithms in the context of studying users' perceptions and expectations from being presented to diversity showed limited existing knowledge -especially when it concerns such "beyond-accuracy" objectives. Therefore, the current study does not implement an algorithm but approaches it like a Wizard-of-Oz intervention (e.g., Nordberg et al, 2020). However, instead of a researcher acting like a chatbot, we mean that the chatbot's matchmaking logic is randomized.…”

Section: Designing a Qanda Chatbot: Technology Probementioning

confidence: 99%

Exploring diversity perceptions in a community through a Q&A chatbot

Kun¹

2022

Proceedings of DRS

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While diversity has become a debated issue in design, very little research exists on positive use-cases for diversity beyond scholarly criticism. The current work addresses this gap through the case of a diversity-aware chatbot, exploring what benefits a diversity-aware chatbot could bring to people and how do people interpret diversity when being presented with it. In this paper, we motivate a Q&A chatbot as a technology probe and deploy it in two student communities within a study. During the study, we collected contextual data on people's expectations and perceptions when presented with diversity during the study. Our key findings show that people seek out others with shared niche interests, or their search is driven by exploration and inspiration when presented with diversity. Although interacting with chatbots is limited, participants found the engagement novel and interesting to motivate future research.

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“…Data-oriented experiments and exploratory design and evaluation of novel technologies are the main research approaches in experimentation projects. An example of an experimentation subproject is the development and evaluation of a smartphone app connected to a wearable device for pervasive sensing of physiological signals or a chatbot (Nordberg et al, 2020;Flobak et al, 2018).…”

Section: Approachmentioning

confidence: 99%

Challenges and possible solutions in cross-disciplinary and cross-sectorial research teams within the domain of e-mental health

Nordgreen

Rabbi

Tørresen

et al. 2021

JET

Self Cite

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PurposeMental illness presents a huge individual, societal and economic challenges, currently accounting for 20% of the worldwide burden of disease. There is a gap between the need for and access to services. Digital technology has been proven effective in e-mental health for preventing and treating mental health problems. However, there is a need for cross-disciplinary efforts to increase the impact of e-mental health services. This paper aims to report key challenges and possible solutions for cross-disciplinary and cross-sectorial research teams within the domain of e-mental health.Design/methodology/approachThe key challenges and possible solutions will be discussed in light of the literature on effective cross-disciplinary research teams.FindingsSix topics have been key challenges in our cross-disciplinary and cross-sectorial research team: to develop a shared understanding of the domain; to establish a common understanding of key concepts among the project participants; to involve the end-users in the research and development process; to collaborate across sectors; to ensure privacy and security of health data; and to obtain the right timing of activities according to project dependencies.Research limitations/implicationsThis study focuses to increase knowledge and training in cross-disciplinary and cross-sectorial research, as this is often referred to as an important tool when developing sustainable solutions for major societal challenges.Practical implicationsThis study needs to include theory and skills training in cross-disciplinary research in research training.Social implicationsCross-disciplinary teams have the potential to address major societal challenges, including more perspectives and more stakeholders than single disciplinary research teams.Originality/valueMajor societal challenges require complex and sustainable solutions. However, there is a lack of knowledge about how cross-disciplinary and cross-sectorial research teams may work productively to solve these challenges. This paper shares experiences regarding the challenges and possible solutions for productive collaboration in cross-disciplinary and cross-sectorial research teams within the domain of e-mental health services.

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Designing Chatbots for Guiding Online Peer Support Conversations for Adults with ADHD

Cited by 13 publications

References 34 publications

A text messaging intervention to support the mental health of young adults: User engagement and feedback from a field trial of an intervention prototype

A text messaging intervention to support the mental health of young adults: User engagement and feedback from a field trial of an intervention prototype

Exploring diversity perceptions in a community through a Q&A chatbot

Challenges and possible solutions in cross-disciplinary and cross-sectorial research teams within the domain of e-mental health

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