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Lauren E. Reining

dblp:239/8044 · DBLP profile ↗
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3ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 3 · 1 since 2021

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
2 papers
Health and well-being technologies · 84% Collaborative and social computing · 16%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Health and well-being technologies
mental health technology
0.922021
Charting the Unknown: Challenges in the Clinical Assessment of Patients' Technology Use Related to Eating Disorders · CHI 2021
"Notjustgirls": Exploring Male-related Eating Disordered Content across Social Media Platforms · CHI 2019
Health and well-being technologies › mental health
eating disorders
0.512021
Charting the Unknown: Challenges in the Clinical Assessment of Patients' Technology Use Related to Eating Disorders · CHI 2021
Collaborative and social computing
social media
0.322021
Charting the Unknown: Challenges in the Clinical Assessment of Patients' Technology Use Related to Eating Disorders · CHI 2021
"Notjustgirls": Exploring Male-related Eating Disordered Content across Social Media Platforms · CHI 2019

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

interview study · 0.5content analysis · 0.4
YearPublicationVenuePosition
2021 Charting the Unknown: Challenges in the Clinical Assessment of Patients' Technology Use Related to Eating Disorders
abstract
A growing body of research in HCI focuses on understanding how social media and other social technologies impact a given user’s mental health, including eating disorders. In this paper, we review the results of an interview study with 10 clinicians spanning various specialties who treat people with eating disorders, in order to understand the clinical contexts of eating disorders and social media use. We found various tensions related to clinician comfort and education into the (mis)use of technologies and balancing the positive and negative aspects of social media use within active disease states as well as in recovery. Understanding these tensions as well as the variation in the current process of diagnosing patients is a critical component in connecting HCI research focused on eating disorders to clinical practice and ultimately assessing how digital self-harm could be addressed clinically in the future.
Jessica Pater, Fayika Farhat Nova, Amanda Coupe, Lauren E. Reining, Connie Kerrigan, Tammy Toscos, Elizabeth D. Mynatt
CHI4
2019 "Notjustgirls": Exploring Male-related Eating Disordered Content across Social Media Platforms
abstract
Eating disorders (EDs) are a worldwide public health concern that impact approximately 10% of the U.S. population. Our previous research characterized these behaviors across online spaces. These characterizations have used clinical terminology, and their lexical variants, to identify ED content online. However, previous HCI research on EDs (including our own) suffers from a lack of gender and cultural diversity. In this paper, we designed a follow-up study of online ED characterizations, extending our previous methodologies to focus specifically on male/masculine-related content. We highlight the similarities and differences found in the terminology utilized and media archetypes associated with the social media content. Finally, we discuss other considerations highlighted through our analysis of the male-related content that is missing from the previous research.
Jessica Pater, Lauren E. Reining, Andrew D. Miller 0001, Tammy Toscos, Elizabeth D. Mynatt
CHI2
2019 Exploring Indicators of Digital Self-Harm with Eating Disorder Patients: A Case Study
abstract
Digital self-harm encompasses a variety of activities, including the use of social media to facilitate or amplify mental illness-related behaviors. To understand the extent of these behaviors and their impacts, we conducted an in-depth case study with three patients who are in recovery from an eating disorder. We collected survey data, conducted interviews reflecting back to their technology use during their active disease state, and reviewed up to 18 months of their social media data leading up to the start of their initial point of recovery. Through the triangulation of this data, we explore the role of social media and social technologies in relation to their eating disorder. By utilizing this methodology, we were able to provide a contextually rich and nuanced lens for exploring the impacts of digital self-harm on this group of patients. We found that patients acknowledged that the eating disordered content on social media had a negative impact on their health, often contributing to a worsening of the physical manifestations of their disorder. Conversely, while they actively consumed this content, our participants did not produce online content related to eating disordered activities or behaviors. Finally, we discuss the patterns within their social media data and how platform designers and operators could use these findings in the future through design considerations for future platform-based interventions.
Jessica Pater, Brooke Farrington, Alycia Brown, Lauren E. Reining, Tammy Toscos, Elizabeth D. Mynatt
Proc. ACM Hum. Comput. Interact.4