“I Felt Listened to”: Evaluating an AI-Powered Reflection Tool for Care Partners

This article evaluates CareJournal, an AI-powered application on an Amazon Alexa Show designed to support care partners (i.e., older adult receivers and caregivers) in care reflection and communication. CareJournal aims to address challenges faced by care partners in articulating the needs of the care relationships. Through a 4-week pilot study (N = 14 care partner pairs) and a 4-week field study (N = 16 care partner pairs), we assessed the tool’s effectiveness in supporting reflection and generating AI summaries that capture the care partners’ intent. Our findings indicate that CareJournal is a beneficial tool for improving communication intention and focus. We draw upon the role of articulation work in care routines and discuss design implications for AI to support articulation through adaptive reflection tools based on diverse care dynamics and highlight ethical considerations in balancing AI assistance with human agency.

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Publication Details

Journal
ACM Transactions on Accessible Computing
Published
2025-04-23
DOI
https://doi.org/10.1145/3731562
Citations
1
Primary Topic
Innovative Human-Technology Interaction
Type
article
Field-Weighted Citation Impact
1.94
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article

“I Felt Listened to”: Evaluating an AI-Powered Reflection Tool for Care Partners

Emily Mower Provost, Hira Jamshed, Robin Brewer, Jazette Johnson et al.
1 citations
ACM Transactions on Accessible Computing
Innovative Human-Technology Interaction
1.94
article

“I Felt Listened to”: Evaluating an AI-Powered Reflection Tool for Care Partners

Emily Mower Provost, Hira Jamshed, Robin Brewer, Jazette Johnson, Amanda Leggett, Rachael Zuppke
article en
1 citations

Abstract

This article evaluates CareJournal, an AI-powered application on an Amazon Alexa Show designed to support care partners (i.e., older adult receivers and caregivers) in care reflection and communication. CareJournal aims to address challenges faced by care partners in articulating the needs of the care relationships. Through a 4-week pilot study (N = 14 care partner pairs) and a 4-week field study (N = 16 care partner pairs), we assessed the tool’s effectiveness in supporting reflection and generating AI summaries that capture the care partners’ intent. Our findings indicate that CareJournal is a beneficial tool for improving communication intention and focus. We draw upon the role of articulation work in care routines and discuss design implications for AI to support articulation through adaptive reflection tools based on diverse care dynamics and highlight ethical considerations in balancing AI assistance with human agency.

ACM Transactions on Accessible ComputingVol. 18(3)
Wayne State College (US), Wayne State University (US), University of Michigan (US), Michigan United (US)
Openalex Percentile: Top 17%
Innovative Human-Technology Interaction
1.94
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“I Felt Listened to”: Evaluating an AI-Powered Reflection Tool for Care Partners — Emily Mower Provost, Hira Jamshed, et al. · ACM Transactions on Accessible Computing (2025) | TGRS Research Map | TGRS