scholarly journals Toward Impactful Collaborations on Computing and Mental Health (Preprint)

2017 ◽  
Author(s):  
Rafael Alejandro Calvo ◽  
Karthik Dinakar ◽  
Rosalind Picard ◽  
Helen Christensen ◽  
John Torous
Keyword(s):  
Mental Health ◽  
Human Computer Interaction ◽  
State Of The Art ◽  
Interdisciplinary Collaboration ◽  
Internet Research ◽  
Special Issue ◽  
Face To Face ◽  
Computer Scientists ◽  
Art Research ◽  
Collaborative Activities

UNSTRUCTURED We describe an initiative to bring mental health researchers, computer scientists, human-computer interaction researchers, and other communities together to address the challenges of the global mental ill health epidemic. Two face-to-face events and one special issue of the Journal of Medical Internet Research were organized. The works presented in these events and publication reflect key state-of-the-art research in this interdisciplinary collaboration. We summarize the special issue articles and contextualize them to present a picture of the most recent research. In addition, we describe a series of collaborative activities held during the second symposium and where the community identified 5 challenges and their possible solutions.

scholarly journals Special Issue on Intelligent Systems in Sensor Networks and Internet of Things

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3182
Author(s):  
Chang Choi ◽  
Gianni D’Angelo ◽  
Francesco Palmieri
Keyword(s):  
Sensor Networks ◽  
Internet Of Things ◽  
Intelligent Systems ◽  
State Of The Art ◽  
Special Issue ◽  
Research Experiences ◽  
Original State ◽  
Art Research ◽  
Open Issues

This Special Issue aims at collecting several original state-of-the-art research experiences in the area of intelligent applications in the IoT and Sensor networks environment, by analyzing several open issues and perspectives associated with such scenarios, in order to explore novel potentialities and solutions and face with the emerging challenges.

scholarly journals Introduction to Special Issue: State of the Art Reviews on Mental Health in Traumatic Brain Injury

2013 ◽  
Vol 14 (1) ◽  
pp. 1-1
Author(s):  
Grahame K. Simpson ◽  
Robyn Tate
Keyword(s):  
Mental Health ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Guest Editorial ◽  
Mental Health Problems ◽  
State Of The Art ◽  
Health Issues ◽  
Special Issue ◽  
Mental Health Issues ◽  
Key Issues

Addressing mental health issues is a core concern in the treatment of people with traumatic brain injury (TBI) and their families. Mental health issues are widespread after TBI and arise whether the injury was sustained in civilian or conflict contexts. In the Guest Editorial, Simon Fleminger outlines key issues and conundrums that arise in the intertwining of mental health problems and TBI, as well as the importance of integrating the treatment of mental health conditions into neurorehabilitation.

scholarly journals Introduction to the Special Issue on Advanced Technologies in Assessment: A Science-Practice Concern

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Cornelius König ◽  
Andrew Demetriou ◽  
Philipp Glock ◽  
Annemarie Hiemstra ◽  
Dragos Iliescu ◽  
...  
Keyword(s):  
Psychological Assessment ◽  
Data Science ◽  
Interdisciplinary Collaboration ◽  
The European Union ◽  
Special Issue ◽  
Assessment Practice ◽  
Science Practice ◽  
Personnel Assessment ◽  
Advanced Technologies ◽  
Computer Scientists

This article is based on conversations from the project “Big Data in Psychological Assessment” (BDPA) funded by the European Union, which was initiated because of the advances in data science and artificial intelligence that offer tremendous opportunities for personnel assessment practice in handling and interpreting this kind of data. We argue that psychologists and computer scientists can benefit from interdisciplinary collaboration. This article aims to inform psychologists who are interested in working with computer scientists about the potentials of interdisciplinary collaboration, as well as the challenges such as differing terminologies, foci of interest, data quality standards, approaches to data analyses, and diverging publication practices. Finally, we provide recommendations preparing psychologists who want to engage in collaborations with computer scientists. We argue that psychologists should proactively approach computer scientists, learn computer scientific fundamentals, appreciate that research interests are likely to converge, and prepare novice psychologists for a data-oriented scientific future.

scholarly journals The Digital Therapeutic Alliance and Human-Computer Interaction (Preprint)

2020 ◽  
Author(s):  
Simon D'Alfonso ◽  
Reeva Lederman ◽  
Sandra Bucci ◽  
Katherine Berry
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Human Computer Interaction ◽  
Mental Health Care ◽  
Therapeutic Alliance ◽  
Critical Factor ◽  
Therapeutic Interventions ◽  
Face To Face ◽  
Health Apps ◽  
Computer Interaction

UNSTRUCTURED The therapeutic alliance (TA), the relationship that develops between a therapist and a client/patient, is a critical factor in the outcome of psychological therapy. As mental health care is increasingly adopting digital technologies and offering therapeutic interventions that may not involve human therapists, the notion of a TA in digital mental health care requires exploration. To date, there has been some incipient work on developing measures to assess the conceptualization of a digital TA for mental health apps. However, the few measures that have been proposed have more or less been derivatives of measures from psychology used to assess the TA in traditional face-to-face therapy. This conceptual paper explores one such instrument that has been proposed in the literature, the Mobile Agnew Relationship Measure, and examines it through a human-computer interaction (HCI) lens. Through this process, we show how theories from HCI can play a role in shaping or generating a more suitable, purpose-built measure of the digital therapeutic alliance (DTA), and we contribute suggestions on how HCI methods and knowledge can be used to foster the DTA in mental health apps.

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