<i>Screenomics</i>: A Framework to Capture and Analyze Personal Life Experiences and the Ways that Technology Shapes Them

Reeves, Byron; Ram, Nilam; Robinson, Thomas N.; Cummings, James M.; Giles, C. Lee; Pan, Jennifer; Chiatti, Agnese; Cho, M J; Roehrick, Katie; Yang, Xiao; Gagneja, Anupriya; Brinberg, Miriam; Muise, Daniel; Lu, Yingdan; Luo, Mufan; Fitzgerald, Andrew Arthur; Yeykelis, Leo

doi:10.1080/07370024.2019.1578652

Cited by 125 publications

(122 citation statements)

References 136 publications

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“…Despite the broad shift in how individuals manage their health in the modern age, there has been limited work to characterize these interactions, with most of the literature primarily focused on social media platforms, Facebook and Twitter, or patient chatrooms. An ideal data set for studying digital behavior needs to be high frequency, as the modern human‐device interaction lasts from ~ 10 seconds to 2 minutes, and passively/unobtrusively observed to avoid compliance and activity disruption issues …”

Section: The Screenome: Inferring Health Behaviors From Computer Scrementioning

confidence: 99%

“…The primary means of communication between an individual and their device is through the device screen, thus screenshots represent a natural unit for data collection. Screenomics is a framework for passive high frequency collection of digital device activity through screenshots . To date, several cohorts have been recruited and installed applications on their smartphones and laptop computers that recorded screenshots and metadata at 5‐second intervals.…”

Section: The Screenome: Inferring Health Behaviors From Computer Scrementioning

confidence: 99%

“…An ideal data set for studying digital behavior needs to be high frequency, as the modern human-device interaction lasts from ~ 10 seconds to 2 minutes, and passively/unobtrusively observed to avoid compliance and activity disruption issues. 30,31 The primary means of communication between an individual and their device is through the device screen, thus screenshots represent a natural unit for data collection. Screenomics is a framework for passive high frequency collection of digital device activity through screenshots.…”

Section: The Screenome: Inferring Health Behaviors From Computer Scrementioning

confidence: 99%

“…Screenomics is a framework for passive high frequency collection of digital device activity through screenshots. 30 To date, several cohorts have been recruited and installed applications on their smartphones and laptop computers that recorded screenshots and metadata at 5-second intervals.…”

Section: The Screenome: Inferring Health Behaviors From Computer Scrementioning

confidence: 99%

“…The initial analysis focuses on using the extracted text to identify sessions related to diseases and drugs. 30 Disease and drug word groups were defined using word vectors trained on a publicly available Reddit comment corpus. We selected sets of two to three seed words for each category, such as "diabetes" or "metformin."…”

Section: The Screenome: Inferring Health Behaviors From Computer Scrementioning

confidence: 99%

See 4 more Smart Citations

#Science: The Potential and the Challenges of Utilizing Social Media and Other Electronic Communication Platforms in Health Care

Gijsen

Maddux

Lavertu

et al. 2019

Clinical Translational Sci

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Electronic communication is becoming increasingly popular worldwide, as evidenced by its widespread and rapidly growing use. In medicine, however, it remains a novel approach to reach out to patients. Yet, they have the potential for further improving current health care. Electronic platforms could support therapy adherence and communication between physicians and patients. The power of social media as well as other electronic devices can improve adherence as evidenced by the development of the app bant. Additionally, systemic analysis of social media content by Screenome can identify health events not always captured by regular health care. By better identifying these healthcare events we can improve our current healthcare system as we will be able to better tailor to the patients’ needs. All these techniques are a valuable component of modern health care and will help us into the future of increasingly digital health care.

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Section: The Screenome: Inferring Health Behaviors From Computer Scrementioning

confidence: 99%

Section: The Screenome: Inferring Health Behaviors From Computer Scrementioning

confidence: 99%

Section: The Screenome: Inferring Health Behaviors From Computer Scrementioning

confidence: 99%

Section: The Screenome: Inferring Health Behaviors From Computer Scrementioning

confidence: 99%

Section: The Screenome: Inferring Health Behaviors From Computer Scrementioning

confidence: 99%

See 3 more Smart Citations

#Science: The Potential and the Challenges of Utilizing Social Media and Other Electronic Communication Platforms in Health Care

Gijsen

Maddux

Lavertu

et al. 2019

Clinical Translational Sci

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Disentangling the Association of Screen Time With Developmental Outcomes and Well-being

Whitlock

Masur

2019

JAMA Pediatr

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Concerns about the association of screen time with myriad developmental, health, and productivity outcomes in children and adolescents date back to the advent of screens themselves. The earliest of these studies was conducted in 1949 as a collaboration between the Columbia Broadcasting System (now known as CBS Corporation) and researchers from Rutgers University.Perhaps unsurprisingly, the study found that having a television increased family cohesion; did not promote viewer passivity; and did not replace other diversions, such as outdoor activities and socializing. 1 Few early television viewers would have imagined the role that screens play in our lives today. The modern age is marked by screen use for accomplishing a wide variety of tasks formerly unrelated to a screen. Talking to someone remotely, looking through magazines, reading a book, managing banking, playing games, and connecting with friends, all discrete activities before the current age, now frequently include some screen interaction. This proliferation of screen-based activities, all broadly accessible through a growing number of electronic devices (eg, mobile or smart phones, personal computers, or smart fashion such as watches or glasses), means that screens occupy a broad swath of daily life for many of us. Understanding the association between new technological affordances and human well-being and productivity outcomes, such as academic performance, is thus highly and perpetually salient.

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What's in your PIE? Understanding the contents of personalized information environments with PIEGraph

Freelon,

Pruden,

Malmer

et al. 2024

Asso for Info Science & Tech

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Social media have long been studied from platform‐centric perspectives, which entail sampling messages based on criteria such as keywords and specific accounts. In contrast, user‐centric approaches attempt to reconstruct the personalized information environments users create for themselves. Most user‐centric studies analyze what users have accessed directly through browsers (e.g., through clicks) rather than what they may have seen in their social media feeds. This study introduces a data collection system of our own design called PIEGraph that links survey data with posts collected from participants' personalized X (formerly known as Twitter) timelines. Thus, in contrast with previous research, our data include much more than what users decide to click on. We measure the total amount of data in our participants' respective feeds and conduct descriptive and inferential analyses of three other quantities of interest: political content, ideological skew, and fact quality ratings. Our results are relevant to ongoing debates about digital echo chambers, misinformation, and conspiracy theories; and our general methodological approach could be applied to social media beyond X/Twitter contingent on data availability.

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Screenomics: A Framework to Capture and Analyze Personal Life Experiences and the Ways that Technology Shapes Them

Cited by 125 publications

References 136 publications

#Science: The Potential and the Challenges of Utilizing Social Media and Other Electronic Communication Platforms in Health Care

#Science: The Potential and the Challenges of Utilizing Social Media and Other Electronic Communication Platforms in Health Care

Disentangling the Association of Screen Time With Developmental Outcomes and Well-being

What's in your PIE? Understanding the contents of personalized information environments with PIEGraph

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