Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems 2018
DOI: 10.1145/3173574.3173905
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“Suddenly, we got to become therapists for each other”

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Cited by 103 publications
(25 citation statements)
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References 65 publications
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“…Four studies did not report participant engagement in the intervention [25,29,32,40]. In addition, 14 studies were classified as high engagement [9,21,23,24,26,28,31,[34][35][36]38,46,48,49], 7 studies were classified as medium engagement [26,27,30,[43][44][45][46][47], and 5 studies were classified as low engagement [20,22,37,39,41]. Among studies that reported high engagement and an intervention development description [23,24,31,34,35,38,47,48], 3 studies included a real-world effectiveness assessment (not efficacy).…”
Section: Community Engagement and Participationmentioning
confidence: 99%
“…Four studies did not report participant engagement in the intervention [25,29,32,40]. In addition, 14 studies were classified as high engagement [9,21,23,24,26,28,31,[34][35][36]38,46,48,49], 7 studies were classified as medium engagement [26,27,30,[43][44][45][46][47], and 5 studies were classified as low engagement [20,22,37,39,41]. Among studies that reported high engagement and an intervention development description [23,24,31,34,35,38,47,48], 3 studies included a real-world effectiveness assessment (not efficacy).…”
Section: Community Engagement and Participationmentioning
confidence: 99%
“…In the feld of HCI, researchers have developed and explored diferent technological systems that aim to make mental health interventions more accessible (e.g., via online therapy [88], peer-support systems [64,65], and mental health mobile phone apps [7,58,72]). In parallel, mental health apps have become increasingly more commercially available (e.g., [17,32]).…”
Section: Enabling Access To Mental Health Interventionsmentioning
confidence: 99%
“…Also, social media usage reveals socio-economic characteristics: correlation have been found between employment rate and correct use of the language, diverse mobility patterns, and diurnal rhythm [1,23]. Similarly, works in HCI domain studied how data from social media can be used to better design online therapy for mental health problems [22], also highlighting how the peer-to-peer interaction helps to emerge deeper insights of people's issues [30]. They also studied how social media data can complement studies about eating disorder [8], depression [2,36], personality traits [16] and general people characteristics [19].…”
Section: Social Media and Vulnerable Groupsmentioning
confidence: 99%