Psychotherapy in the era of artificial intelligence:  Therapist Panoptes

Brailas, Alexios

doi:10.12681/homvir.20197

Cited by 6 publications

(7 citation statements)

References 23 publications

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“…The digital therapeutic alliance (DTA) as a concept [79][80][81][82][83] suggests that there is a future for HCI, but there is a need for testing of emerging interactive techniques. More research is required to support acceptability, feasibility, and safety around digital interventions [84].…”

Section: Human-computer Interactions In a Hybrid Model Of Carementioning

confidence: 99%

Psychological Screening and Tracking of Athletes and Digital Mental Health Solutions in a Hybrid Model of Care: Mini Review

Balcombe¹,

Leo²

2020

JMIR Form Res

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Background There is a persistent need for mental ill-health prevention and intervention among at-risk and vulnerable subpopulations. Major disruptions to life, such as the COVID-19 pandemic, present an opportunity for a better understanding of the experience of stressors and vulnerability. Faster and better ways of psychological screening and tracking are more generally required in response to the increased demand upon mental health care services. The argument that mental and physical health should be considered together as part of a biopsychosocial approach is garnering acceptance in elite athlete literature. However, the sporting population are unique in that there is an existing stigma of mental health, an underrecognition of mental ill-health, and engagement difficulties that have hindered research, prevention, and intervention efforts. Objective The aims of this paper are to summarize and evaluate the literature on athletes’ increased vulnerability to mental ill-health and digital mental health solutions as a complement to prevention and intervention, and to show relationships between athlete mental health problems and resilience as well as digital mental health screening and tracking, and faster and better treatment algorithms. Methods This mini review shapes literature in the fields of athlete mental health and digital mental health by summarizing and evaluating journal and review articles drawn from PubMed Central and the Directory of Open Access Journals. Results Consensus statements and systematic reviews indicated that elite athletes have comparable rates of mental ill-health prevalence to the general population. However, peculiar subgroups require disentangling. Innovative expansion of data collection and analytics is required to respond to engagement issues and advance research and treatment programs in the process. Digital platforms, machine learning, deep learning, and artificial intelligence are useful for mental health screening and tracking in various subpopulations. It is necessary to determine appropriate conditions for algorithms for use in recommendations. Partnered with real-time automation and machine learning models, valid and reliable behavior sensing, digital mental health screening, and tracking tools have the potential to drive a consolidated, measurable, and balanced risk assessment and management strategy for the prevention and intervention of the sequelae of mental ill-health. Conclusions Athletes are an at-risk subpopulation for mental health problems. However, a subgroup of high-level athletes displayed a resilience that helped them to positively adjust after a period of overwhelming stress. Further consideration of stress and adjustments in brief screening tools is recommended to validate this finding. There is an unrealized potential for broadening the scope of mental health, especially symptom and disorder interpretation. Digital platforms for psychological screening and tracking have been widely used among general populations, but there is yet to be an eminent athlete version. Sports in combination with mental health education should address the barriers to help-seeking by increasing awareness, from mental ill-health to positive functioning. A hybrid model of care is recommended, combining traditional face-to-face approaches along with innovative and evaluated digital technologies, that may be used in prevention and early intervention strategies.

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Section: Human-computer Interactions In a Hybrid Model Of Carementioning

confidence: 99%

Psychological Screening and Tracking of Athletes and Digital Mental Health Solutions in a Hybrid Model of Care: Mini Review

Balcombe¹,

Leo²

2020

JMIR Form Res

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“…So, the concept of Omega point bears a profound teleological weight. Teilhard is credited of having anticipated the development of the internet, the network society, the Anthropocene and the Gaia theory (Brailas, 2019;Zwart, 2022). Teilhard's put an emphasis on the combination of the technological and biocultural evolution.…”

Section: Artificial Intelligence Singularity and A Meta-learning Ecol...mentioning

confidence: 99%

Rhizomes, nomads, and complexity: A new relational pedagogy for the era of networks, social media and artificial intelligence

Brailas¹

2022

Preprint

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Today, we live in an era characterized by unprecedented technological development and the rise of artificial intelligence mediated technosocial spaces. In this context, it becomes more and more evident we need a different conception of learning that shifts the focus from the consumption of disembodied knowledge to the catalyzation of personal and collective development through the formation of meaningful and transformative synergies. knowledge exists only in a web of relationships and education's primary goal should be to facilitate the development of learning communities where students can engage in meaningful relational activities with their peers and with the world outside. Rhizomatic learning networks are self-organized collectives able to demonstrate emergent properties like novelty and innovation. In this article, we try to envisage a new nomadic pedagogy for the 21st century that facilitates the development of learning rhizomes, negentropic islands in an entropic environment, self-organized and evolving learning organizations. We suggest there is something in learning that you can realize, understand, and take advantage of, only if you look at it as the developmental process of a living rhizome.

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“…Therefore, it is an inherent affordance of this rhizome to create multiple performances depending on each visitors' serendipitous choices. 'Studying' this virtual research exposition becomes an experiment with singularity, a point where the available choices grow exponentially (Brailas, 2019). Nevertheless, that was exactly the aim of the Systems Theory, Psychology, and Social Media course, and something not to regret but to celebrate instead.…”

Section: -22]mentioning

confidence: 99%

Rhizomatic Learning in Action: A Virtual Exposition for Demonstrating Learning Rhizomes

Brailas¹

2021

Preprint

Self Cite

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In this paper, we developed a virtual exposition as a model to visualize and demonstrate the dynamic and non-linear affordances of a learning rhizome. Virtual expositions are non-linear multimodal web installations that facilitate the creation of interconnections through which the research as practice and the practice as research are highlighted and communicated more effectively. Through a specific virtual exposition platform, we created a visual and performative representation of a rhizomatic learning course, allowing visitors to experience the complexity, multiplicity, unpredictability, and multivoicedness of such an approach in an isomorphic way. A complex learning rhizome is a performative confluence of human and non-human actors that engages people, resources, processes, and contextual parameters. As such, it is impossible to be represented in any representational format. The virtual exposition developed here attempts to offer a fair approximative model of rhizomatic learning which is far better than text-only linear representations. This paper offers a new view to rhizomatic learning as an applied practice that can enhance teaching and catalyze learning through complex synergies and dynamics. The originality of this paper lies in its attempt to bridge linear with non-linear academic research formats in order to offer a multimodal and performative model of rhizomatic learning. Theoretical and practical implications for learning and teaching are discussed.

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Psychotherapy in the era of artificial intelligence: Therapist Panoptes

Cited by 6 publications

References 23 publications

Psychological Screening and Tracking of Athletes and Digital Mental Health Solutions in a Hybrid Model of Care: Mini Review

Psychological Screening and Tracking of Athletes and Digital Mental Health Solutions in a Hybrid Model of Care: Mini Review

Rhizomes, nomads, and complexity: A new relational pedagogy for the era of networks, social media and artificial intelligence

Rhizomatic Learning in Action: A Virtual Exposition for Demonstrating Learning Rhizomes

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