Research

Understanding Cultural Influence on Perspectives around Contact Tracing Strategies

Xi Lu, Eunkyung Jo, Seora Park, Hwajung Hong, Yunan Chen, Daniel A. Epstein
CSCW 2022 [PDF]

To understand how culture influences people's perceptions toward human tracing and digital tracing, we replicated a mixed-methods survey study conducted in the U.S. in South Korea and compared participants' perspectives. South Korean participants preferred digital tracing to human tracing, contrasting with the U.S. context where no strong preference was observed. We discuss how observed differences in perspective align and contrast with the country's typical cultural dimensions, such as high power distance, informing the perspective that human tracing will have greater accuracy. We emphasize the need for culturally designing contact tracing technology to highlight personal benefits regardless of cultural dimensions, and leverage technology to support social interaction in human tracing.

GeniAuti: Toward Data-Driven Interventions to Challenging Behaviors of Autistic Children through Caregivers' Tracking

Eunkyung Jo, Seora Park, Hyeonseok Bang, Youngeun Hong, Yeni Kim, Jungwon Choi, Bung Nyun kim, Daniel A. Epstein, Hwajung Hong
CSCW 2022 [DOI] [PDF]

Caregiver-tracked data on their child’s challenging behaviors can help clinical experts make informed recommendations about how to manage such behaviors. To support caregivers in recording their children’s challenging behaviors, we developed GeniAuti, a mobile-based data-collection tool built upon a clinical data collection form to document challenging behaviors and other clinically relevant contextual information such as place, duration, intensity, and what triggers such behaviors. Based on findings from an open-ended deployment with 19 parent–child pairs and three expert collaborators, we suggest design opportunities for facilitating negotiations between caregivers and clinicians and accounting for caregivers’ emotional needs.

Designing Flexible Longitudinal Regimens: Supporting Clinician Planning for Discontinuation of Psychiatric Drugs

Eunkyung Jo, Myeonghan Ryu, Georgia Kenderova, Samuel So, Bryan Shapiro, Alexandra Papoutsaki, Daniel A. Epstein
CHI 2022 [DOI] [PDF]

Clinical decision support tools have typically focused on one-time support for diagnosis or prognosis, but have the ability to support providers in longitudinal planning of patient care regimens amidst infrastructural challenges. We explore an opportunity for technology support for discontinuing antidepressants, where clinical guidelines increasingly recommend gradual discontinuation over abruptly stopping to avoid withdrawal symptoms, but providers have varying levels of experience and diverse strategies for supporting patients through discontinuation. We conducted two studies with 12 providers, identifying providers’ needs in developing discontinuation plans and deriving design guidelines. We then iteratively designed and implemented AT Planner, instantiating the guidelines by projecting taper schedules and providing flexibility for adjustment. Provider feedback on AT Planner highlighted that discontinuation plans required balancing interpersonal and infrastructural constraints and surfaced the need for different technological support based on clinical experience. We discuss the benefits and challenges of incorporating flexibility and advice into clinical planning tools.

Comparing Perspectives Around Human and Technology Support for Contact Tracing

Xi Lu, Tera L. Reynolds, Eunkyung Jo, Hwajung Hong, Xinru Page, Yunan Chen, Daniel A. Epstein
CHI 2021 [DOI] [PDF]

We investigate how people perceive the respective benefits and risks of human and digital contact tracing through a mixed-methods survey with 291 respondents from the United States. Participants perceived digital contact tracing as more beneficial for protecting privacy, providing convenience, and ensuring data accuracy, and felt that human contact tracing could help provide security, emotional reassurance, advice, and accessibility. We explore the role of self-tracking technologies in public health crisis situations, highlighting how designs must adapt to promote societal benefit rather than just self-understanding. We discuss how future digital contact tracing can better balance the benefits of human tracers and technology amidst the complex contact tracing process and context.

MAMAS : Supporting Parent–Child Mealtime Interactions using Automated Tracking and Speech Recognition

Eunkyung Jo, Hyeonseok Bang, Myeonghan Ryu, Eun Jee Sung, Sungmook Leem, Hwajung Hong
CSCW 2020 [DOI] [PDF]

Many parents of young children find it challenging to deal with their children’s eating problems, and parent–child mealtime interaction is fundamental in forming children’s healthy eating habits. In this paper, we present the results of a three-week study through which we deployed a mealtime assistant application, MAMAS, for monitoring parent–child mealtime conversation and food intake with 15 parent–child pairs. Our findings indicate that the use of MAMAS helped 1) increase children’s autonomy during mealtime, 2) enhance parents’ self-awareness of their words and behaviors, 3) promote the parent–child relationship, and 4) positively influence the mealtime experiences of the entire family. The study also revealed some challenges in eating behavior interventions due to the complex dynamics of childhood eating problems. Based on the findings, we discuss how a mealtime assistant application can be better designed for parents and children with challenging eating behaviors

Understanding Parenting Stress through Co-designed Self-Trackers

Eunkyung Jo, Austin L. Toombs, Colin M. Gray, Hwajung Hong
CHI 2020 [DOI] [PDF]

We investigated how new parents make use
of flexible self-tracking practices in the context of stress management. The findings of this study indicate that flexible self-tracking practices enable individuals to develop self-knowledge as well as to better communicate with their spouses through data. Based on the findings, I discuss how the self-tracking experiences for the mental wellness of parents can be better designed and provide some considerations for future research and design for parenting stress management.

Toward Becoming a Better Self: Understanding Self-Tracking Experiences of Adolescents with Autism Spectrum Disorder Using Custom Trackers

Sung-In Kim, Eunkyung Jo, Myeonghan Ryu, Inha Cha, Young-Ho Kim, Heejeong Yoo, and Hwajung Hong
Pervasive Health 2019 [DOI] [PDF]

In this work, we investigated how adolescents
with ASD kept track of their everyday lives to better understand themselves using a custom self-tracking platform, OmniTrack, over a two-week period. Our findings indicate that personalized self-tracking experiences enable adolescents to monitor the detailed contexts, causes, and consequences of problematic situations; regulate negative emotion and anxiety while interacting with the tracker;
and communicate through data with their caregivers, teachers, and therapists. Building on these findings, we suggest the design of a new form of flexible, scaffolded self-tracking technique that can inform both researchers for designing pervasive health technologies for adolescents with ASD and clinicians for guiding adolescents with ASD toward better self-management using such technologies.

COSMA: Cooperative Self-Management Tool for Adolescents with Autism

Myeonghan Ryu, Eunkyung Jo, Sung-In Kim
ASSETS 2017 Student Research Competition

COSMA is a self-management tool for adolescents with autism, including behavioral goal setting by means of the co-contract process, self-reporting while performing everyday tasks, and cooperative reflection to support their smooth transition so adulthood.