PENCODER: Design for Prospective Memory and Older Adults

PENCODER: Design for Prospective Memory and Older Adults
Youngsoo Shin, Ruth Barankevich, Jina Lee, Saleh Kalantari

CHI '21: The 2021 ACM CHI Conference on Human Factors in Computing Systems
Session: Late-Breaking Work Day 3 - D

Abstract
The number of older adults with Mild Cognitive Impairment (MCI) is rapidly increasing. Individuals with this condition suffer from reduced daily activities and capacities, the resulting sense of frustration, and a decline in mental and physical health. However, there are not many existing studies for this specific user group in the HCI community. This study focused on addressing issues related to aging and memory in the MCI population. We designed a new interface, PENCODER, which supports prospective memory. The “design thinking process” and multidisciplinary human-centered perspectives were used in creating this interface. Findings and insights from this exploratory human-centered design approach suggest that it is imperative to conduct further research in HCI fields on (1) tools and technology features that support prospective memory, (2) measurements that assess the effect of using these kinds of tools, and (3) longitudinal perspectives for assessing self-determination outcomes in everyday interactions.

DOI:: https://doi.org/10.1145/3411763.3451795
WEB:: https://chi2021.acm.org/

Pre-recorded Presentations for the ACM CHI Virtual Conference on Human Factors in Computing Systems, May 8-13, 2021