Machine learning in mental health: A systematic review of the HCI literature to support the development of effective and implementable ML systems

A Thieme, D Belgrave, G Doherty - ACM Transactions on Computer …, 2020 - dl.acm.org
High prevalence of mental illness and the need for effective mental health care, combined
with recent advances in AI, has led to an increase in explorations of how the field of machine …

[HTML][HTML] The smartphone in medicine: a review of current and potential use among physicians and students

E Ozdalga, A Ozdalga, N Ahuja - Journal of medical Internet research, 2012 - jmir.org
Background: Advancements in technology have always had major impacts in medicine. The
smartphone is one of the most ubiquitous and dynamic trends in communication, in which …

Mobile phone ownership and endorsement of “mHealth” among people with psychosis: a meta-analysis of cross-sectional studies

J Firth, J Cotter, J Torous, S Bucci, JA Firth… - Schizophrenia …, 2016 - academic.oup.com
There is currently growing interest in using mobile phones to support the treatment of
psychotic disorders, such as schizophrenia. However, the widespread implementation of …

StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones

R Wang, F Chen, Z Chen, T Li, G Harari… - Proceedings of the …, 2014 - dl.acm.org
Much of the stress and strain of student life remains hidden. The StudentLife continuous
sensing app assesses the day-to-day and week-by-week impact of workload on stress …

[图书][B] Plan, activity, and intent recognition: Theory and practice

G Sukthankar, C Geib, HH Bui, D Pynadath… - 2014 - books.google.com
Plan recognition, activity recognition, and intent recognition together combine and unify
techniques from user modeling, machine vision, intelligent user interfaces, human/computer …

Mobile phones as medical devices in mental disorder treatment: an overview

F Gravenhorst, A Muaremi, J Bardram… - Personal and Ubiquitous …, 2015 - Springer
Mental disorders can have a significant, negative impact on sufferers' lives, as well as on
their friends and family, healthcare systems and other parts of society. Approximately 25% of …

Anticipatory mobile computing: A survey of the state of the art and research challenges

V Pejovic, M Musolesi - ACM Computing Surveys (CSUR), 2015 - dl.acm.org
Today's mobile phones are far from the mere communication devices they were 10 years
ago. Equipped with sophisticated sensors and advanced computing hardware, phones can …

Deepmood: modeling mobile phone typing dynamics for mood detection

B Cao, L Zheng, C Zhang, PS Yu, A Piscitello… - Proceedings of the 23rd …, 2017 - dl.acm.org
The increasing use of electronic forms of communication presents new opportunities in the
study of mental health, including the ability to investigate the manifestations of psychiatric …

A stigmergic approach to indoor localization using bluetooth low energy beacons

F Palumbo, P Barsocchi, S Chessa… - 2015 12th IEEE …, 2015 - ieeexplore.ieee.org
Localization of people and devices is one of the main building blocks of context aware
systems since the user position represents the core information for detecting user's activities …

Loneliness in psychosis: A practical review and critique for clinicians.

JC Badcock, LH Adery, S Park - Clinical Psychology: Science and …, 2020 - psycnet.apa.org
Accumulating evidence shows that loneliness in psychosis is a major concern for patients, is
associated with poorer mental and physical health, and is a significant barrier to recovery …