A Conversational Interface for Self-screening for ADHD in Adults
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Feedback from users in 5 studies expressed a preference for interactivity; users in 1 study liked the interactivity of the chatbot, and users in 4 studies desired greater interactivity or relational skills.
“Feedback from users in 5 studies expressed a preference for interactivity, with users in 1 study noting that they liked the interactivity of the chatbot [35,37], and users in the other 4 studies expressed a desire for greater interactivity or relational skills in the conversational agent [14,32,34,53].”
From The Effectiveness of Artificial Intelligence Conversational Agents in Health Care: Systematic Review (2020) · cites this paper as [14]
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- Authors
- Håvik, R., Wake, J. D., Flobak, E., Lundervold, A., & Guribye, F.
- Affiliations
- University of Bergen (NO)
- NORCE Research AS (NO)
- Corresponding author
- Wake, Jo Dugstad
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2019
- Pages
- 133-144
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2937215033
- Cited by
- 17
- References
- 25
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 1 · 2022: 4 · 2021: 3 · 2020: 3
- FWCI
- 6.47
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Keywords
- conversational interfaces, chatbots, attention deficit hyperactivity disorder, adult ADHD, self-screening, Adult ADHD Self-Report Scale, mental health screening, user experience, user interaction
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