Empathic conversational agents for real-time monitoring and co-facilitation of patient-centered healthcare
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Empathic AI systems can help nurses facilitate communication and personalize care based on mood or stress indicators.
“In nursing practice, empathic AI systems can alert nurses to a patient’s emotional distress and help nurses facilitate communication and personalize care based on mood or stress indicators.12”
In nursing practice, empathic AI systems can alert nurses to a patient's emotional distress.
“In nursing practice, empathic AI systems can alert nurses to a patient’s emotional distress and help nurses facilitate communication and personalize care based on mood or stress indicators.12”
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- Authors
- Adikari, A., de Silva, D., Moraliyage, H., Alahakoon, D., Wong, J., Gancarz, M., Chackochan, S., Park, B., Heo, R., & Leung, Y.
- Affiliations
- La Trobe University (AU)
- University of Toronto (CA)
- Corresponding author
- Adikari, Achini
- ORCID
- Venue
- Future Generation Computer Systems
- Publisher
- Elsevier BV
- Published
- 2022-01
- Volume
- 126
- Pages
- 318-329
- ISSN
- 0167-739X (ISSN-L)
- OpenAlex
- W3194108120
- Cited by
- 71
- References
- 47
- Citations by year
- 2026: 14 · 2025: 22 · 2024: 16 · 2023: 12 · 2022: 7
- FWCI
- 8.46
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Future Generation Computer Systems (publishedVersion)
- Funders
- Ontario Institute for Cancer Research (P.HSR.147)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- chatbots, patient-centered care, patient mental health, well-being, emotion recognition, behavioral metrics, resource recommendation, online support groups, cancer patients, caregivers, real-time monitoring, co-facilitation, human-machine interaction
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