TY - GEN
T1 - Nurse AMIE
T2 - 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI EA 2021
AU - Qiu, Ling
AU - Kanski, Bethany
AU - Doerksen, Shawna
AU - Winkels, Renate
AU - Schmitz, Kathryn H.
AU - Abdullah, Saeed
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/5/8
Y1 - 2021/5/8
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85105808245&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85105808245&partnerID=8YFLogxK
U2 - 10.1145/3411763.3451827
DO - 10.1145/3411763.3451827
M3 - Conference contribution
AN - SCOPUS:85105808245
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, CHI EA 2021
PB - Association for Computing Machinery
Y2 - 8 May 2021 through 13 May 2021
ER -