Literature DB >> 25959328

Developing brain-computer interfaces from a user-centered perspective: Assessing the needs of persons with amyotrophic lateral sclerosis, caregivers, and professionals.

Giulia Liberati1, Alessia Pizzimenti2, Luca Simione3, Angela Riccio4, Francesca Schettini5, Maurizio Inghilleri6, Donatella Mattia7, Febo Cincotti5.   

Abstract

By focus group methodology, we examined the opinions and requirements of persons with ALS, their caregivers, and health care assistants with regard to developing a brain-computer interface (BCI) system that fulfills the user's needs. Four overarching topics emerged from this analysis: 1) lack of information on BCI and its everyday applications; 2) importance of a customizable system that supports individuals throughout the various stages of the disease; 3) relationship between affectivity and technology use; and 4) importance of individuals retaining a sense of agency. These findings should be considered when developing new assistive technology. Moreover, the BCI community should acknowledge the need to bridge experimental results and its everyday application.
Copyright © 2015 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Entities:  

Keywords:  Amyotrophic lateral sclerosis; Brain-computer interfaces; User-centered approach

Mesh:

Year:  2015        PMID: 25959328     DOI: 10.1016/j.apergo.2015.03.012

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  8 in total

1.  Keeping Disability in Mind: A Case Study in Implantable Brain-Computer Interface Research.

Authors:  Laura Specker Sullivan; Eran Klein; Tim Brown; Matthew Sample; Michelle Pham; Paul Tubig; Raney Folland; Anjali Truitt; Sara Goering
Journal:  Sci Eng Ethics       Date:  2017-06-22       Impact factor: 3.525

2.  Considering Augmentative and Alternative Communication Research for Brain-Computer Interface Practice.

Authors:  Kevin M Pitt; Jonathan S Brumberg; Adrienne R Pitt
Journal:  Assist Technol Outcomes Benefits       Date:  2019

3.  Usability of a Hybrid System Combining P300-Based Brain-Computer Interface and Commercial Assistive Technologies to Enhance Communication in People With Multiple Sclerosis.

Authors:  Angela Riccio; Francesca Schettini; Valentina Galiotta; Enrico Giraldi; Maria Grazia Grasso; Febo Cincotti; Donatella Mattia
Journal:  Front Hum Neurosci       Date:  2022-05-26       Impact factor: 3.473

4.  Evaluating person-centered factors associated with brain-computer interface access to a commercial augmentative and alternative communication paradigm.

Authors:  Kevin M Pitt; Jonathan S Brumberg
Journal:  Assist Technol       Date:  2021-03-05

5.  Using brain-computer interfaces: a scoping review of studies employing social research methods.

Authors:  Johannes Kögel; Jennifer R Schmid; Ralf J Jox; Orsolya Friedrich
Journal:  BMC Med Ethics       Date:  2019-03-07       Impact factor: 2.652

6.  Evaluation of a P300-Based Brain-Machine Interface for a Robotic Hand-Orthosis Control.

Authors:  Jonathan Delijorge; Omar Mendoza-Montoya; Jose L Gordillo; Ricardo Caraza; Hector R Martinez; Javier M Antelis
Journal:  Front Neurosci       Date:  2020-11-27       Impact factor: 4.677

7.  On the Relationship Between Attention Processing and P300-Based Brain Computer Interface Control in Amyotrophic Lateral Sclerosis.

Authors:  Angela Riccio; Francesca Schettini; Luca Simione; Alessia Pizzimenti; Maurizio Inghilleri; Marta Olivetti-Belardinelli; Donatella Mattia; Febo Cincotti
Journal:  Front Hum Neurosci       Date:  2018-05-28       Impact factor: 3.169

8.  An Augmented-Reality fNIRS-Based Brain-Computer Interface: A Proof-of-Concept Study.

Authors:  Amaia Benitez-Andonegui; Rodion Burden; Richard Benning; Rico Möckel; Michael Lührs; Bettina Sorger
Journal:  Front Neurosci       Date:  2020-04-28       Impact factor: 4.677

  8 in total

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