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A Multifunctional Adaptive and Interactive AI system to support people living with stroke, acquired brain or spinal cord injuries: A study protocol.
Ottoboni, Giovanni; La Porta, Fabio; Piperno, Roberto; Chattat, Rabih; Bosco, Annalisa; Fattori, Patrizia; Tessari, Alessia.
Afiliação
  • Ottoboni G; Department of Psychology "Renzo Canestrari", University of Bologna, Bologna, Italy.
  • La Porta F; IRCCS Istituto delle Scienze Neurologiche di Bologna, UO di Medicina Riabilitativa e Neuroriabilitazione, Bologna, Italy.
  • Piperno R; IRCCS Istituto delle Scienze Neurologiche di Bologna, UO di Medicina Riabilitativa e Neuroriabilitazione, Bologna, Italy.
  • Chattat R; Department of Psychology "Renzo Canestrari", University of Bologna, Bologna, Italy.
  • Bosco A; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
  • Fattori P; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
  • Tessari A; Department of Psychology "Renzo Canestrari", University of Bologna, Bologna, Italy.
PLoS One ; 17(4): e0266702, 2022.
Article em En | MEDLINE | ID: mdl-35404951
ABSTRACT

BACKGROUND:

Acquired brain injury and spinal cord injury are leading causes of severe motor disabilities impacting a person's autonomy and social life. Enhancing neurological recovery driven by neurogenesis and neuronal plasticity could represent future solutions; however, at present, recovery of activities employing assistive technologies integrating artificial intelligence is worthy of examining. MAIA (Multifunctional, adaptive, and interactive AI system for Acting in multiple contexts) is a human-centered AI aiming to allow end-users to control assistive devices naturally and efficiently by using continuous bidirectional exchanges among multiple sensorimotor information.

METHODS:

Aimed at exploring the acceptability of MAIA, semi-structured interviews (both individual interviews and focus groups) are used to prompt possible end-users (both patients and caregivers) to express their opinions about expected functionalities, outfits, and the services that MAIA should embed, once developed, to fit end-users needs.

DISCUSSION:

End-user indications are expected to interest MAIA technical, health-related, and setting components. Moreover, psycho-social issues are expected to align with the technology acceptance model. In particular, they are likely to involve intrinsic motivational and extrinsic social aspects, aspects concerning the usefulness of the MAIA system, and the related ease to use. At last, we expect individual factors to impact MAIA gender, fragility levels, psychological aspects involved in the mental representation of body image, personal endurance, and tolerance toward AT-related burden might be the aspects end-users rise in evaluating the MAIA project.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tecnologia Assistiva / Traumatismos da Medula Espinal / Acidente Vascular Cerebral Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tecnologia Assistiva / Traumatismos da Medula Espinal / Acidente Vascular Cerebral Idioma: En Ano de publicação: 2022 Tipo de documento: Article