Co-creating Requirements and Assessing End-User Acceptability of a Voice-Based Chatbot to Support Mental Health: A Thematic Analysis of a Living Lab Workshop

Benítez-Guijarro, Antonio; Bond, Raymond; Booth, Frederick; Callejas, Zoraida; Ennis, Edel; Esposito, Anna; Kraus, Matthias; McConvey, Gavin; McTear, Michael F.; Mulvenna, Maurice; Potts, Courtney; Pragst, Louisa; Turkington, Robin; Wagner, Nicolas; Zheng, Huiru

doi:10.1007/978-981-15-8395-7_15

Cited by 4 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The design guidelines were informed by the report produced after the workshops: the needs and suggestions that emerged during the interviews were used as dos and don'ts to create both CAs. To our knowledge, this is one of few cases where the design guidelines were informed by interviews and at the same time they were empirically applied to the construction of two different CAs [49,[53][54][55].…”

Section: Design Guidelinesmentioning

confidence: 99%

Diabetes and conversational agents: the AIDA project case study

Alloatti

Bosca²,

et al. 2021

Discov Artif Intell

View full text Add to dashboard Cite

One of the key aspects in the process of caring for people with diabetes is Therapeutic Education (TE). TE is a teaching process for training patients so that they can self-manage their care plan. Alongside traditional methods of providing educational content, there are now alternative forms of delivery thanks to the implementation of advanced Information Technologies systems such as conversational agents (CAs). In this context, we present the AIDA project: an ensemble of two different CAs intended to provide a TE tool for people with diabetes. The Artificial Intelligence Diabetes Assistant (AIDA) consists of a text-based chatbot and a speech-based dialog system. Their content has been created and validated by a scientific board. AIDA Chatbot—the text-based agent—provides a broad spectrum of information about diabetes, while AIDA Cookbot—the voice-based agent—presents recipes compliant with a diabetic patient’s diet. We provide a thorough description of the development process for both agents, the technology employed and their usage by the general public. AIDA Chatbot and AIDA Cookbot are freely available and they represent the first example of conversational agents in Italian to support diabetes patients, clinicians and caregivers.

show abstract

Section: Design Guidelinesmentioning

confidence: 99%

Diabetes and conversational agents: the AIDA project case study

Alloatti

Bosca²,

et al. 2021

Discov Artif Intell

View full text Add to dashboard Cite

show abstract

“…Among the results of the workshop, we elaborated a list of the perceived strengths and limitations of the technology and also a study of the main topics and themes covered, which included the challenges faced by people such as isolation and difficulty for honest disclosure, symptom recognition, continuous monitoring, disclosure facilitation, companionship, risk detection, personalization, configurable proactiveness, user access to information, privacy, vulnerability, cost and access to the technology and use of the chatbot. The results are the co-created functional requirements and a number of use case scenarios that can be of interest to guide future development of chatbots in the mental health domain are described in further detail in [5].…”

Section: Recent Advances and Current Workmentioning

confidence: 99%

Towards conversational technology to promote, monitor and protect mental health

Callejas¹,

Griol²,

Benghazi³

et al. 2021

IberSPEECH 2021

Self Cite

View full text Add to dashboard Cite

This paper presents a general overview of the H2020-MSCA-RISE project MENHIR (Mental health monitoring through interactive conversations), which aim is to explore the possibilities of conversational technologies (chatbots) to understand, promote and protect mental health and assist people with anxiety and mild depression manage their conditions. MENHIR started on February 2019 and will have a duration of 4 years. Its consortium brings together 8 partners including universities, a non-profit organization and companies.

show abstract

Digital transformation of mental health services

Bond,

Mulvenna,

Potts

et al. 2023

npj Mental Health Res

Self Cite

View full text Add to dashboard Cite

This paper makes a case for digital mental health and provides insights into how digital technologies can enhance (but not replace) existing mental health services. We describe digital mental health by presenting a suite of digital technologies (from digital interventions to the application of artificial intelligence). We discuss the benefits of digital mental health, for example, a digital intervention can be an accessible stepping-stone to receiving support. The paper does, however, present less-discussed benefits with new concepts such as ‘poly-digital’, where many different apps/features (e.g. a sleep app, mood logging app and a mindfulness app, etc.) can each address different factors of wellbeing, perhaps resulting in an aggregation of marginal gains. Another benefit is that digital mental health offers the ability to collect high-resolution real-world client data and provide client monitoring outside of therapy sessions. These data can be collected using digital phenotyping and ecological momentary assessment techniques (i.e. repeated mood or scale measures via an app). This allows digital mental health tools and real-world data to inform therapists and enrich face-to-face sessions. This can be referred to as blended care/adjunctive therapy where service users can engage in ‘channel switching’ between digital and non-digital (face-to-face) interventions providing a more integrated service. This digital integration can be referred to as a kind of ‘digital glue’ that helps join up the in-person sessions with the real world. The paper presents the challenges, for example, the majority of mental health apps are maybe of inadequate quality and there is a lack of user retention. There are also ethical challenges, for example, with the perceived ‘over-promotion’ of screen-time and the perceived reduction in care when replacing humans with ‘computers’, and the trap of ‘technological solutionism’ whereby technology can be naively presumed to solve all problems. Finally, we argue for the need to take an evidence-based, systems thinking and co-production approach in the form of stakeholder-centred design when developing digital mental health services based on technologies. The main contribution of this paper is the integration of ideas from many different disciplines as well as the framework for blended care using ‘channel switching’ to showcase how digital data and technology can enrich physical services. Another contribution is the emergence of ‘poly-digital’ and a discussion on the challenges of digital mental health, specifically ‘digital ethics’.

show abstract

Co-creating Requirements and Assessing End-User Acceptability of a Voice-Based Chatbot to Support Mental Health: A Thematic Analysis of a Living Lab Workshop

Cited by 4 publications

References 14 publications

Diabetes and conversational agents: the AIDA project case study

Diabetes and conversational agents: the AIDA project case study

Towards conversational technology to promote, monitor and protect mental health

Digital transformation of mental health services

Contact Info

Product

Resources

About