2020
DOI: 10.1038/s41746-020-0278-7
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Cognitive plausibility in voice-based AI health counselors

Abstract: Voice-based personal assistants using artificial intelligence (AI) have been widely adopted and used in home-based settings. Their success has created considerable interest for its use in healthcare applications; one area of prolific growth in AI is that of voicebased virtual counselors for mental health and well-being. However, in spite of its promise, building realistic virtual counselors to achieve higher-order maturity levels beyond task-based interactions presents considerable conceptual and pragmatic cha… Show more

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Cited by 11 publications
(16 citation statements)
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References 28 publications
(28 reference statements)
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“…One of the fast growing areas, spurred by advances in artificial intelligence, is that of conversational agents. 11 Traditional conversational agents, relying on text-based interactions, play an important role helping patients with basic self-care and health maintenance tasks (e.g., medication reminders). 12 More recently, with voice-based personal devices gaining popularity (e.g., Alexa), there is considerable interest in virtual agents for delivering structured, evidence-based behavioral counseling, and wellness interventions.…”
mentioning
confidence: 99%
“…One of the fast growing areas, spurred by advances in artificial intelligence, is that of conversational agents. 11 Traditional conversational agents, relying on text-based interactions, play an important role helping patients with basic self-care and health maintenance tasks (e.g., medication reminders). 12 More recently, with voice-based personal devices gaining popularity (e.g., Alexa), there is considerable interest in virtual agents for delivering structured, evidence-based behavioral counseling, and wellness interventions.…”
mentioning
confidence: 99%
“…Additionally, current technology is also not able to discern differences in emotion or other verbal cues that are easily interpreted in face-to-face human conversations [5]. With ongoing improvements in the technology, these challenges are likely to be mitigated over time, allowing for continued improvement of Lumen for optimized user experience.…”
Section: Discussionmentioning
confidence: 99%
“…First, we split longer conversations (especially in S1, where Lumen was providing overview) into multiple shorter conversations to reduce the mean length of conversations between Lumen and the participant. Such shorter lengths of (but more frequent) conversations allow more interactive turns and have been shown to improve the common ground and engagement between conversational partners [5, 25-28]. Second, we developed functionality that allowed participants to repeat, pause and resume conversations.…”
Section: Discussionmentioning
confidence: 99%
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