Virtual Intelligent Agents to Train Abilities of Diagnosis in Psychology and Psychiatry

Gutiérrez-Maldonado, José; Alsina-Jurnet, Ivan; Rangel-Gómez, María Virginia; Aguilar-Alonso, Angel; Jarne-Esparcia, Adolfo; Andrés-Pueyo, Antônio; Talarn-Caparrós, Antoni

doi:10.1007/978-3-540-68127-4_51

Cited by 4 publications

(5 citation statements)

References 11 publications

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“…In virtual patient, intelligent agents can be visualized in human size with the ability of facial expressions, gazing, and gesturing, and can engage in cooperative tasks and synthetic speech (Kopp et al, 2003). In more advanced virtual patients, intelligent agents can understand human emotional states (Gutiérrez-Maldonado et al, 2008). The main ML algorithms for this type of combination include neural networks (NNs) and fuzzy logic (FL) algorithms.…”

Section: Conferring Intelligence On Xrmentioning

confidence: 99%

“…In this application, a virtual patient engages with users in a virtual environment. Virtual patients are used for training medical students and trainees to improve specific skills, such as diagnostic interview abilities, and to engage in natural interactions(Gutiérrez-Maldonado et al, 2008). Virtual patients help trainees to easily generalize their knowledge to real-world situations.…”

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confidence: 99%

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The Combination of Artificial Intelligence and Extended Reality: A Systematic Review

Reiners

Davahli

Karwowski

et al. 2021

Front. Virtual Real.

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Artificial intelligence (AI) and extended reality (XR) differ in their origin and primary objectives. However, their combination is emerging as a powerful tool for addressing prominent AI and XR challenges and opportunities for cross-development. To investigate the AI-XR combination, we mapped and analyzed published articles through a multi-stage screening strategy. We identified the main applications of the AI-XR combination, including autonomous cars, robotics, military, medical training, cancer diagnosis, entertainment, and gaming applications, advanced visualization methods, smart homes, affective computing, and driver education and training. In addition, we found that the primary motivation for developing the AI-XR applications include 1) training AI, 2) conferring intelligence on XR, and 3) interpreting XR- generated data. Finally, our results highlight the advancements and future perspectives of the AI-XR combination.

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Section: Conferring Intelligence On Xrmentioning

confidence: 99%

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confidence: 99%

The Combination of Artificial Intelligence and Extended Reality: A Systematic Review

Reiners

Davahli

Karwowski

et al. 2021

Front. Virtual Real.

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“…Virtual Reality offers new forms of interaction between humans and systems. The advent of networked workstations with very strong 3D graphics capabilities coupled with new visualization and interaction devices whose use is intuitive (headphones, glove…) makes it possible to provide several users with sensory information necessary to convince them of their presence in a synthetic world [60]. In addition, the possibility of manipulating certain aspects of these virtual worlds almost as in real life offers stakeholders the possibility of using their experience and natural capacities to work in a cooperative manner.…”

Section: Virtual Reality and Aimentioning

confidence: 99%

“…In addition, the possibility of manipulating certain aspects of these virtual worlds almost as in real life offers stakeholders the possibility of using their experience and natural capacities to work in a cooperative manner. The synthetic world created and managed by a Distributed Virtual Reality system can, therefore, be virtually populated by numerous users who interact, through specialized peripherals, with these virtual worlds and in particular with autonomous entities, animated and endowed with complex behaviors: collaborative behaviors, but also adaptive and not only reactive, that is to say with the ability to reason and learn, or even seeking to anticipate the dynamics of the world in which they find themselves, or even emerging behavior [60]. Work in virtual reality is thus at the border of many fields: distributed systems (and applications), networks, geometric modeling and image synthesis, human-system interaction, for the systems themselves, but also, techniques from classical artificial intelligence or artificial life, for the management of autonomous or semi-autonomous entities (agents) endowed with behaviors.…”

Section: Virtual Reality and Aimentioning

confidence: 99%

Towards Artificial Intelligence: Concepts, Applications, and Innovations

Saba

Sahli

Maouedj

et al. 2020

Studies in Computational Intelligence

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“…Virtual patients are also shown to have a potential to emphasize socio-cultural aspects and cultural differences as they pertain to healthcare education [28,35]. The use of VPs has been proven to be effective in the training of surgeons [36], medical students [27,37,38] as well as psychology students [39,40]. Research into the use of VPs in psychotherapy training is quite new [41].…”

Section: Introductionmentioning

confidence: 99%

Educational potential of a virtual patient system for caring for traumatized patients in primary care

et al. 2013

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BackgroundVirtual Patients (VPs) have been used in undergraduate healthcare education for many years. This project is focused on using VPs for training professionals to care for highly vulnerable patient populations. The aim of the study was to evaluate if Refugee Trauma VPs was perceived as an effective and engaging learning tool by primary care professionals (PCPs) in a Primary Health Care Centre (PHC).MethodsA VP system was designed to create realistic and engaging VP cases for Refugee Trauma for training refugee patient interview, use of established trauma and mental health instruments as well as to give feedback to the learners. The patient interview section was based on video clips with a Bosnian actor with a trauma story and mental health problems. The video clips were recorded in Bosnian language to further increase the realism, but also subtitled in English. The system was evaluated by 11 volunteering primary health clinicians at the Lynn Community Health Centre, Lynn, Massachusetts, USA. The participants were invited to provide insights/feedback about the system’s usefulness and educational value. A mixed methodological approach was used, generating both quantitative and qualitative data.ResultsSelf-reported dimensions of clinical care, pre and post questionnaire questions on the PCPs clinical worldview, motivation to use the VP, and IT Proficiency. Construct items used in these questionnaires had previously demonstrated high face and construct validity. The participants ranked the mental status examination more positively after the simulation exercise compared to before the simulation. Follow up interviews supported the results.ConclusionsEven though virtual clinical encounters are quite a new paradigm in PHC, the participants in the present study considered our VP case to be a relevant and promising educational tool. Next phase of our project will be a RCT study including comparison with specially prepared paper-cases and determinative input on improving clinical diagnosis and treatment of the traumatized refugee patient.

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Virtual Intelligent Agents to Train Abilities of Diagnosis in Psychology and Psychiatry

Cited by 4 publications

References 11 publications

The Combination of Artificial Intelligence and Extended Reality: A Systematic Review

The Combination of Artificial Intelligence and Extended Reality: A Systematic Review

Towards Artificial Intelligence: Concepts, Applications, and Innovations

Educational potential of a virtual patient system for caring for traumatized patients in primary care

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