Nurse AMIE: Using Smart Speakers to Provide Supportive Care Intervention for Women with Metastatic Breast Cancer
Open accessAbstract
Women with metastatic breast cancer (MBC) face serious physiological and psychosocial challenges. The management of this chronic, incurable condition requires long-term care coordination. Traditional clinical methods do not often provide adequate and personalized support for these individuals. In this project, we aim to use smart speakers to provide supportive care interventions to improve the quality of life for women with MBC. Specifically, we have developed Nurse AMIE (Addressing Metastatic Individuals Everyday) by leveraging the Amazon Alexa to remotely deliver validated interventions. We believe that voice interactions can significantly lower the barrier to interact with remote intervention technologies for this population. In a pilot study, we deployed Nurse AMIE for 14 days over 6 women with MBC. Based on the collected data, this paper discusses the feasibility, acceptability, and future directions of Nurse AMIE. To the best of our knowledge, this is the first study to use smart speakers to support women with MBC.
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Patients were not completely satisfied with CAs due to lacking customisation.
“limitations such as insufficient customisation, lack of empathy, and defects in understanding free-input questions were noted.”
From The Usability and Experience of Artificial Intelligence‐Based Conversational Agents in Health Education for Cancer Patients: A Scoping Review (2026) · cites this paper as Qiu et al. 2021
CAs provided informational, physical, and psychological support for cancer patients, potentially enhancing their health across various dimensions.
“reported that CAs provided informational, physical, and psychological support for them.”
From The Usability and Experience of Artificial Intelligence‐Based Conversational Agents in Health Education for Cancer Patients: A Scoping Review (2026) · cites this paper as Qiu et al. 2021
CAs were primarily designed to provide general health education information related to cancer, such as treatment methods and post-chemotherapy self-management, causing them to be short of personalised advice tailored to individual situations.
“CAs were primarily designed to provide general health education information related to cancer, such as treatment methods and post-chemotherapy self-management, causing them to be short of personalised advice tailored to individual situations (Goertz et al. 2023;Qiu et al. 2021).”
From The Usability and Experience of Artificial Intelligence‐Based Conversational Agents in Health Education for Cancer Patients: A Scoping Review (2026) · cites this paper as Qiu et al. 2021
Most patients said CAs were useful to facilitate self-management.
“Most patients said that CAs were useful to improve their treatment adherence (Chaix et al. 2019(Chaix et al. , 2020)), enhance the quality of care (Chetlen et al. 2019), and facilitate self-management (Qiu et al. 2021).”
From The Usability and Experience of Artificial Intelligence‐Based Conversational Agents in Health Education for Cancer Patients: A Scoping Review (2026) · cites this paper as Qiu et al. 2021
CAs were available 24/7 and integrated into daily routine, allowing users to get instant consultations via mobile devices anytime and anywhere.
“Moreover, CAs were available 24/7 (Siglen et al. 2023) and integrated into daily routine (Qiu et al. 2021), allowing users to get instant consultations via their mobile devices anytime and anywhere.”
From The Usability and Experience of Artificial Intelligence‐Based Conversational Agents in Health Education for Cancer Patients: A Scoping Review (2026) · cites this paper as Qiu et al. 2021
Five studies found patients had few barriers to interacting with CAs.
“Five studies found patients had few barriers to interacting with CAs (Goertz et al. 2023;Qiu et al. 2021;Siglen et al. 2023;Tawfik et al. 2023;Visvanathan et al. 2023).”
From The Usability and Experience of Artificial Intelligence‐Based Conversational Agents in Health Education for Cancer Patients: A Scoping Review (2026) · cites this paper as Qiu et al. 2021
Technical limitations identified by the review include a lack of customisation and weakness in natural language processing.
“Technical limitations identified by this review, including a lack of customisation and weakness in natural language processing (Qiu et al. 2021;Siglen et al. 2023)”
From The Usability and Experience of Artificial Intelligence‐Based Conversational Agents in Health Education for Cancer Patients: A Scoping Review (2026) · cites this paper as Qiu et al. 2021
Patients preferred conversational agents' frequent reminders throughout the day to maintain healthy behaviours.
“Patients preferred CAs' frequent reminders throughout the day to maintain healthy behaviours (Qiu et al. 2021)”
From The Usability and Experience of Artificial Intelligence‐Based Conversational Agents in Health Education for Cancer Patients: A Scoping Review (2026) · cites this paper as Qiu et al. 2021
Cites
Voice Interfaces in Everyday Life
Porcheron, M., Fischer, J. E., Reeves, S., & Sharples, S. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174214 · Cited by 717 · cited 1× · see citing works
“Future work should aim to provide more informative responses and train users to avoid such confusion [28].”
BackgroundGreer, S., Ramo, D., Chang, Y.-J., Fu, M., Moskowitz, J., & Haritatos, J. (2019) · JMIR mHealth and uHealth · doi:10.2196/15018 · Cited by 265 · see citing works
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Li, K., Wu, S., Zhang, Y., Zhu, B., Qi, Z., Hou, S., & Wang, W. (2026) · Journal of Clinical Nursing · doi:10.1111/jocn.70020 · Cited by 10 · see citing works
Understanding How to Administer Voice Surveys through Smart Speakers
Wei, J., Jiang, W., Wang, C., Yu, D., Goncalves, J., Dingler, T., & Kostakos, V. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3555606 · Cited by 9 · see citing works
- Authors
- Qiu, L., Kanski, B., Doerksen, S., Winkels, R., Schmitz, K. H., & Abdullah, S.
- Affiliations
- Pennsylvania State University (US)
- Wageningen University & Research (NL)
- Venue
- Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2021-05-08
- Pages
- 1-7
- OpenAlex
- W3163689461
- Cited by
- 23
- References
- 2
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 3 · 2023: 6 · 2022: 4 · 2021: 1
- FWCI
- 22.12
- Type
- conference paper
- Language
- en
- Open access
- green
- research.wur.nl
- Locations
- CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) (publishedVersion)
- Socio-Environmental Systems Modeling (submittedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- metastatic breast cancer, smart speakers, voice assistants, Amazon Alexa, quality of life, psychosocial support, feasibility and acceptability, voice interaction, digital health interventions
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