RESEARCH OF THE INFLUENCE OF MODERN TRENDS IN UI/ UX DESIGN OF MOBILE APPLICATIONS ON USER’S MOOD by A. S. Zhadan, O. O. Sichkar, D. A. Pishkin

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Cancelled: Effect of Cyber-Ostracism on the Mental Condition of Instagram Users by Cleoputri Yusainy, Intan Liana Putri, Lita Rakhmi Fadliilah, Gracia Maria Veronica, Ircham Darmawan, Wahyu Wicaksono

“…This study aims to determine the effect of social media cancellation or cyber-ostracism on the mental condition of Instagram users based on the temporal need-threat model, as well as to assess the potential role of trait mindfulness in managing its negative effects. …”
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Modes and moods of “Slave Anastácia,” Afro-Brazilian saint by Paul Christopher Johnson

“…In this essay I consider the history of an Afro-Brazilian saint called Slave Anastácia, as she signifies with varying social effects for different groups of ethno-racial users. I consider how saints become manifest in a given mode, and educe a particular mood. …”
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Mood Detection from Physical and Neurophysical Data Using Deep Learning Models by Zeynep Hilal Kilimci, Aykut Güven, Mitat Uysal, Selim Akyokus

“…Six questions are asked to the users daily in order to determine the mood of them. …”
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MoodMover: Development and usability testing of an mHealth physical activity intervention for depression by Yiling Tang, Madelaine Gierc, Henry La, Juehee Kim, Sam Liu, Raymond W Lam, Eli Puterman, Guy Faulkner

“…Necessary modifications were made based on end-users' feedback. Conclusions The development of MoodMover, the first theoretically informed app-based PA intervention for individuals with depression, may provide another treatment option, which has wide reach. …”
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User satisfaction with the nursing care quality by Erika Marcela León Revelo, Alexandra Patricia Abata Erazo, Julio Rodrigo Morillo Cano

“…The universe were 960 users and the sample by 173. The analyzed variables were: mood of the patient when it is not attended to quickly, rating of the care received, language used by the nursing staff, behavior of the nursing staff and aspects that the nursing staff should improve.…”
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Improving the Utility, Safety, and Ethical Use of a Passive Mood-Tracking App for People With Bipolar Disorder Using Coproduction: Qualitative Focus Group Study by Laurence Astill Wright, Matthew Moore, Stuart Reeves, Elvira Perez Vallejos, Richard Morriss

“… BackgroundCoproduction with users of new digital technology, such as passive mood monitoring, is likely to improve its utility, safety, and successful implementation via improved design and consideration of how such technology fits with their daily lives. …”
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Smartphone Applications for Period Tracking: Rating and Behavioral Change among Women Users by Reema A. Karasneh, Sayer I. Al-Azzam, Karem H. Alzoubi, Suhaib M. Muflih, Sahar S. Hawamdeh

“…Most of the apps enabled setting user goals, motivations, and interactivity, tracking multiple symptoms or mood changes, allowed notifications, and used graphs to illustrate the tracking result over a specific period of time. …”
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Users’ experiences of an online intervention for bipolar disorder: important lessons for design and evaluation by Richard Morriss, Steven H Jones, Fiona Lobban, Alyson L Dodd, Sara Mallinson, Martin Griffiths

“…Barriers included extensive assessments, practical difficulties and mood. ERPonline was was generally considered to be accessible, relevant and straightforward, but there were individual preferences regarding design, content and who it was for. …”
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Network modeling of problematic social media use components in college student social media users by Jianyong Chen, Jianyong Chen, Ting Su, Ting Su, Junqiang Dong, Yuzhi Li, Yuzhi Li, Ju Feng, Ju Feng, Yingxiu Chen, Yingxiu Chen, Gu Liu, Gu Liu

“…Additionally, conflict and mood modification nodes occupied more central positions within the PSMU network for the low-BSMAS-score subgroup compared with the high-BSMAS-score subgroup.ConclusionOur findings shed new light on the complex architecture of PSMU and its potential implications for tailored interventions to relieve PSMU.…”
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Development and User Evaluation of a Food-recognition app (FoodRec): Experimental Data and Qualitative Analysis by Sebastiano Battiato, Pasquale Caponnetto, Roberto Leotta, Giovanni Marotta, Alessandro Midolo, Alessandro Ortis, Riccardo Polosa

“…For the quantitative test, data were analyzed regarding users features, meals uploads, mood states and drink intakes. …”
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User Experience of a Semi-Immersive Musical Serious Game to Stimulate Cognitive Functions in Hospitalized Older Patients: Questionnaire Study by Laurent Samson, Lena Carcreff, Frédéric Noublanche, Sophie Noublanche, Hélène Vermersch-Leiber, Cédric Annweiler

“…ObjectiveThis study aimed to assess the user experience (UX) associated with the newly designed serious game. …”
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Typology of Personalization in Recommender Systems by Marziyeh Nourahmadi, Hojjatollah Sadeqi

“…Recommender systems are software tools that provide suggestions to users based on their needs. One of the critical issues in recommender systems is providing personalized advice that fits the users' mood.Methodology: In this research, with a bibliometric approach using the bibliometric library in R software, all the research done on applying recommended systems in personalization is reviewed.Findings: Using the bibliometrics approach while defining recommender systems and their types, we presented an overview of the personalization field and different kinds of personalization. …”
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Psychological and Behavioral Insights From Social Media Users: Natural Language Processing–Based Quantitative Study on Mental Well-Being by Xingwei Yang, Guang Li

“… BackgroundDepression significantly impacts an individual’s thoughts, emotions, behaviors, and moods; this prevalent mental health condition affects millions globally. …”
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The Exposure Assessment in Current Time Study: Implementation, Feasibility, and Acceptability of Real-Time Data Collection in a Community Cohort of Illicit Drug Users by Gregory D. Kirk, Beth S. Linas, Ryan P. Westergaard, Damani Piggott, Robert C. Bollinger, Larry W. Chang, Andrew Genz

“…We describe the study design and evaluate the implementation, feasibility, and acceptability of an ecological momentary assessment (EMA) study of illicit drug users. Design. Four sequential field trials targeting observation of 30 individuals followed for a four week period. …”
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Mental health apps in India: regulatory landscape and future directions by M. I. Singh Sethi, Rakesh C. Kumar, Narayana Manjunatha, Channaveerachari Naveen Kumar, Suresh Bada Math

“…Despite their benefits, like mood tracking, sleep tools and virtual therapy, MHAs lack regulatory oversight. …”
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A mixed-methods investigation of an ecological momentary assessment protocol for cigarette-smoking youth: Psychometric properties and participant experiences by Suhaavi Kochhar, Hanneke Scholten, Dominique F Maciejewski, Michelle A Pingel, Maartje Luijten

“…Method: Participants (N = 84) filled out global self-report measures at pre- and post-test, and reported their craving, mood, and smoking behaviour five times daily for seven days via their phones. …”
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Feature Selection for Physical Activity Prediction Using Ecological Momentary Assessments to Personalize Intervention Timing: Longitudinal Observational Study by Devender Kumar, David Haag, Jens Blechert, Josef Niebauer, Jan David Smeddinck

“…Ecological momentary assessment (EMA) can provide personal context by directly capturing user assessments (eg, moods and emotions). Thus, EMA might be a useful complement to passive sensing in determining when JITAIs are triggered. …”
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Use of Go-Beyond as a Self-Directed Internet-Based Program Supporting Veterans’ Transition to Civilian Life: Preliminary Usability Study by Karolina Katarzyna Alichniewicz, Sarah Hampton, Madeline Romaniuk, Darcy Bennett, Camila Guindalini

“…Additionally, quantitative and qualitative data were collected from a survey on aesthetics, interactivity, user journey, and user experience, which was optional for users to complete at the end of each module. …”
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A Mobile Health Intervention to Support Collaborative Decision-Making in Mental Health Care: Development and Usability by Kristin Lie Romm, Mari Skoge, Elizabeth Ann Barrett, Lars-Christian Berentzen, Dagfinn Bergsager, Pål Fugelli, Thomas Bjella, Erlend Strand Gardsjord, Kristine Kling, Sindre Hembre Kruse, Kari Jorunn Kværner, Ingrid Melle, Erlend Mork, Henrik Myhre Ihler, Eline Borger Rognli, Carmen Simonsen, Tor Gunnar Værnes, Sofie Ragnhild Aminoff

“…Thus, iTandem includes the following 8 modules, primarily based on the needs of service users and clinicians: Sleep (sleep diary), Medication (intake and side effects), Recovery (measures, including well-being and personal recovery, and exercises, including good things and personal strengths), Mood (mood diary and report of daily feelings), Psychosis (level of positive symptoms and their consequences and level of negative symptoms), Activity (goal setting and progress), Substance use (weekly use, potential triggers or strategies used to abstain), and Feedback on therapy (of individual sessions and overall rating of the past week). …”
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