TY - GEN
T1 - "It can bring you in the right direction"
T2 - 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
AU - Raj, Shriti
AU - Gupta, Toshi
AU - Lee, Joyce
AU - Kay, Matthew
AU - Newman, Mark W.
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/4/19
Y1 - 2023/4/19
N2 - Engaging with multiple streams of personal health data to inform self-care of chronic health conditions remains a challenge. Existing informatics tools provide limited support for patients to make data actionable. To design better tools, we conducted two studies with Type 1 diabetes patients and their clinicians. In the first study, we observed data review sessions between patients and clinicians to articulate the tasks involved in assessing different types of data from diabetes devices to make care decisions. Drawing upon these tasks, we designed novel data interfaces called episode-driven data narratives and performed a task-driven evaluation. We found that as compared to the commercially available diabetes data reports, episode-driven data narratives improved engagement and decision-making with data. We discuss implications for designing data interfaces to support interaction with multidimensional health data to inform self-care.
AB - Engaging with multiple streams of personal health data to inform self-care of chronic health conditions remains a challenge. Existing informatics tools provide limited support for patients to make data actionable. To design better tools, we conducted two studies with Type 1 diabetes patients and their clinicians. In the first study, we observed data review sessions between patients and clinicians to articulate the tasks involved in assessing different types of data from diabetes devices to make care decisions. Drawing upon these tasks, we designed novel data interfaces called episode-driven data narratives and performed a task-driven evaluation. We found that as compared to the commercially available diabetes data reports, episode-driven data narratives improved engagement and decision-making with data. We discuss implications for designing data interfaces to support interaction with multidimensional health data to inform self-care.
KW - decision-making
KW - diabetes
KW - diabetes data visualization
KW - health data interface
KW - human-data interaction
KW - patient-generated data
KW - personal health data
KW - sensemaking
UR - http://www.scopus.com/inward/record.url?scp=85160017211&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85160017211&partnerID=8YFLogxK
U2 - 10.1145/3544548.3581073
DO - 10.1145/3544548.3581073
M3 - Conference contribution
AN - SCOPUS:85160017211
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 23 April 2023 through 28 April 2023
ER -
