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Hayley I. Evans

dblp:217/9279 · also Hayley Irene Evans · DBLP profile ↗
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7ranked-venue papers
4as first author
2since 2021 · last 2024
0009-0005-6035-7524ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 6 · 4 first-author · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
3 papers
Collaborative and social computing · 37% Health and well-being technologies · 34% Ubiquitous computing and smart environments · 19%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%

Topics — the 6 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Health and well-being technologies
mental health technology
1.022022
Perspectives on Integrating Trusted Other Feedback in Therapy for Veterans with PTSD · CHI 2022
Understanding the Care Ecologies of Veterans with PTSD · CHI 2020
Ubiquitous computing and smart environments
social sensing
0.612022
Perspectives on Integrating Trusted Other Feedback in Therapy for Veterans with PTSD · CHI 2022
Collaborative and social computing
online communities
0.312018
Facebook in Venezuela: Understanding Solidarity Economies in Low-Trust Environments · CHI 2018
Collaborative and social computing
social media
0.312018
Facebook in Venezuela: Understanding Solidarity Economies in Low-Trust Environments · CHI 2018
Design research and methods
participatory design
0.212022
Perspectives on Integrating Trusted Other Feedback in Therapy for Veterans with PTSD · CHI 2022
Design research and methods › design process
sociotechnical system design
0.112020
Understanding the Care Ecologies of Veterans with PTSD · CHI 2020

Methods — techniques the papers use, named apart from their topics

semi-structured interviews · 1.0qualitative study · 0.7design principles · 0.7survey · 0.6storyboards · 0.6qualitative analysis · 0.4
YearPublicationVenuePosition
2024 Using Sensor-Captured Patient-Generated Data to Support Clinical Decision-making in PTSD Therapy
abstract
Today, clinicians have limited visibility into the quality of homework exercises that occur outside of the clinical context; however, understanding patient performance in these exercises is essential for guiding patient-centered care. To address this, we present the Clinician Homework Review (CHR), a unique measure and interface that displays similarity ratings calculated using sensor-captured patient-generated data (sPGD; i.e. heart rate, phone usage, ambient noise, and physical activity) for therapeutic exercises outside of the clinical setting within the post-traumatic stress disorder (PTSD) treatment context. Through concept testing sessions with 10 clinicians, we examine how sPGD can be leveraged to measure and investigate what contributes to patient performance in a therapeutic exercise. We also share in-depth information regarding clinician interpretation and planned use of data displayed by CHR in clinical sessions with patients. We frame our results in the context of situated objectivity and propose the notion of "perceived reference weight," which describes the significance attributed to contextualized data. In doing so, we support clinical decision-making in PTSD therapy.
Hayley I. Evans, Myeonghan Ryu, Theresa Hsieh, Jiawei Zhou 0002, Kefan Xu, Kenneth W. Akers, Andrew M. Sherrill, Rosa I. Arriaga
Proc. ACM Hum. Comput. Interact.1
2022 Perspectives on Integrating Trusted Other Feedback in Therapy for Veterans with PTSD
abstract
Past research has demonstrated that accounts of trusted others can provide additional context into real world behavior relevant to clinical decision-making and patient engagement. Our research investigates the Social Sensing System, a concept which leverages trusted other feedback for veterans in therapy for PTSD. In our two phase study, we work with 10 clinicians to develop text-message queries and realistic scenarios to present to patients and trusted others. We then present the results in the form of a storyboard to 10 veterans with PTSD and 10 trusted others and gather feedback via semi-structured interview and survey. We find that while trusted other feedback may provide a unique and useful perspective, key design features and considerations of underlying relationships must be considered. We present our findings and utilize the mechanisms and conditions framework to assess the power dynamics of systems such as social sensing in the mental health realm.
Hayley I. Evans, Catherine R. Deeter, Jiawei Zhou 0002, Kimberly Do, Andrew M. Sherrill, Rosa I. Arriaga
CHI1
2020 Understanding the Care Ecologies of Veterans with PTSD
abstract
Post-traumatic stress disorder (PTSD) disproportionately affects United States veterans, yet they may be reluctant to seek or engage in care. We interview 21 participants, including veterans with PTSD, clinicians who treat veterans and friends and family that support veterans through mental health ordeals. We investigate the military identity these veterans share. We explore how this may add to their reluctance in care-seeking behaviors. We also explore the roles of human and non-human intermediaries in ecologies of care and the potential for enhancing patient empowerment in current clinical treatment contexts. We discuss how military culture can be utilized in clinical care, how multiple perspectives can be leveraged to create a more holistic view of the patient, and finally, how veterans can be empowered during treatment. We conclude with recommendations for the design of sociotechnical systems that prioritize the above in support of the mental well-being of veterans with PTSD.
Hayley I. Evans, Udaya Lakshmi, Hue Watson, Azra Ismail, Andrew M. Sherrill, Neha Kumar 0001, Rosa I. Arriaga
CHI1
2019 Consejero automatico: chatbots for supporting Latino parents' educational engagement
abstract
Parents' participation and actual engagement in their children's education is one of the most important predictors of children's academic success. However, inequities in information access prevent many parents in the United States from engaging in ways that allow their children to achieve such success. We present preliminary research that holistically captures everyday technology and information practices of low-income Latino immigrants in Atlanta, Georgia. Our findings identify assets mobilized by these parents to design Consejero Automatico, a chatbot for WhatsApp that helps parents improve their information-seeking practices. We use Consejero as a probe for uncovering design goals and constraints when leveraging everday assets, and present a preliminary results that emphasize the role of trust in driving the adoption of tools for enhancing information sharing amongst the targeted group.
Marisol Wong-Villacres, Hayley I. Evans, Danielle Schechter, Betsy James DiSalvo, Neha Kumar 0001
ICTD2
2019 Denouncing Sexual Violence: A Cross-Language and Cross-Cultural Analysis of #MeToo and #BalanceTonPorc
Irene Lopez, Robin Quillivic, Hayley I. Evans, Rosa I. Arriaga
INTERACT (2)3
2019 Bridging the Gap: Creating a Clinician-Facing Dashboard for PTSD
Elaine Schertz, Hue Watson, Ashok Krishna, Andrew M. Sherrill, Hayley I. Evans, Rosa I. Arriaga
INTERACT (1)5
2018 Facebook in Venezuela: Understanding Solidarity Economies in Low-Trust Environments
abstract
Since 2014, Venezuela has experienced severe economic crisis, including scarcity of basic necessities such as food and medicine. This has resulted in over-priced goods, scams, and other forms of economic abuse. We present an investigation of Venezuelans' efforts to form an alternative, Solidarity Economy (SE) through Facebook Groups. In these groups, individuals can barter for items at fair prices. We highlight group practices and design features of Facebook Groups which support solidarity or anti-solidarity behaviors. We conclude by leveraging design principles for online communities presented by Kollock to present strategies to design more effective SEs in environments of low trust.
Hayley I. Evans, Marisol Wong-Villacres, Eric Gilbert, Rosa I. Arriaga, Michaelanne Thomas, Amy S. Bruckman
CHI1