2023
DOI: 10.3389/fnagi.2023.1189498
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Combining reinforcement learning and virtual reality in mild neurocognitive impairment: a new usability assessment on patients and caregivers

Fabrizio Stasolla,
Mariacarla Di Gioia
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Cited by 6 publications
(4 citation statements)
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References 77 publications
(98 reference statements)
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“…Thus, a functional bridge between the behavioral repertoire and the environmental requests may be built. 11 New technologies (ie, virtual and augmented, reality, mixed and extended reality, serious games) may provide immersive scenarios similar to real life, pursuing assessment, educational, and rehabilitative purposes. 31,32 AI with Reinforcement Learning (RL) as branch of ML may represent an interactive way to support users with individualized solutions by learning and being reinforced by their performance.…”
Section: Preliminary To Rehabilitationmentioning
confidence: 99%
See 1 more Smart Citation
“…Thus, a functional bridge between the behavioral repertoire and the environmental requests may be built. 11 New technologies (ie, virtual and augmented, reality, mixed and extended reality, serious games) may provide immersive scenarios similar to real life, pursuing assessment, educational, and rehabilitative purposes. 31,32 AI with Reinforcement Learning (RL) as branch of ML may represent an interactive way to support users with individualized solutions by learning and being reinforced by their performance.…”
Section: Preliminary To Rehabilitationmentioning
confidence: 99%
“…Such personalization of treatment will maximize the effectiveness of cognitive training programs. 11 Recent technological advancements have made it possible for therapists to conduct traditional interventions via social robots, eliminating the need for traditional paper-and-pencil methods. 12 With a heterogeneity in it, social robots include humanoid robots like MATILDA, MERO, NAO, PEPPER, SILBOT, SOPHIE etc 13,14 and zoomorphic robots like AIBO and PARO.…”
Section: Introductionmentioning
confidence: 99%
“…The category policy should include a probability of actions that is not the ideal one but very close to it if compared to the fully randomized policy. Starting from the task category policy, an individualized participant–agent interaction would be fostered, and the accuracy of the ideal personalized policies can be programmed (Stasolla and Di Gioia, 2023 ).…”
Section: How Should It Workmentioning
confidence: 99%
“…Individuals grappling with rare genetic diseases, such as Angelman, Cornelia de Recently, Stasolla and Di Gioia (2023), and Stasolla et al (2023a,b) argued on the combined use of virtual reality, extended reality, and reinforcement learning for assessment and rehabilitative objectives. The above mentioned contributions detailed cognitive rehabilitation for mild neurocognitive impairments, and healthcare and reduction of social anxiety in fragile X population, respectively.…”
Section: Introductionmentioning
confidence: 99%