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征集重度言语和身体障碍者的脑机接口用户体验反馈。

SOLICITING BCI USER EXPERIENCE FEEDBACK FROM PEOPLE WITH SEVERE SPEECH AND PHYSICAL IMPAIRMENTS.

作者信息

Peters Betts, Mooney Aimee, Oken Barry, Fried-Oken Melanie

机构信息

Institute on Development & Disability, Oregon Health & Science University, Portland, OR, USA.

Departments of Neurology, Behavioral Neuroscience, and Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA.

出版信息

Brain Comput Interfaces (Abingdon). 2016 Jan 1;3(1):47-58. doi: 10.1080/2326263x.2015.1138056. Epub 2016 Feb 3.

Abstract

Brain-computer interface (BCI) researchers have shown increasing interest in soliciting user experience (UX) feedback, but the severe speech and physical impairments (SSPI) of potential users create barriers to effective implementation with existing feedback instruments. This article describes augmentative and alternative communication (AAC)-based techniques for obtaining feedback from this population, and presents results from administration of a modified questionnaire to 12 individuals with SSPI after trials with a BCI spelling system. The proposed techniques facilitated successful questionnaire completion and provision of narrative feedback for all participants. Questionnaire administration required less than five minutes and minimal effort from participants. Results indicated that individual users may have very different reactions to the same system, and that ratings of workload and comfort provide important information not available through objective performance measures. People with SSPI are critical stakeholders in the future development of BCI, and appropriate adaptation of feedback questionnaires and administration techniques allows them to participate in shaping this assistive technology.

摘要

脑机接口(BCI)研究人员对征求用户体验(UX)反馈的兴趣日益浓厚,但潜在用户的严重言语和身体障碍(SSPI)给现有反馈工具的有效实施带来了障碍。本文介绍了基于辅助和替代沟通(AAC)的技术,用于从这一人群中获取反馈,并展示了在使用BCI拼写系统进行试验后,对12名有SSPI的个体进行修改后的问卷调查的结果。所提出的技术有助于所有参与者成功完成问卷调查并提供叙述性反馈。问卷调查用时不到五分钟,参与者只需付出 minimal effort。结果表明,个体用户对同一系统可能有非常不同的反应,工作量和舒适度评级提供了客观性能指标无法获得的重要信息。有SSPI的人是BCI未来发展的关键利益相关者,对反馈问卷和管理技术进行适当调整可以让他们参与塑造这种辅助技术。 (注:“minimal effort”此处直接保留英文,因为不太明确准确的中文表述,需结合上下文进一步确定合适的翻译)

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本文引用的文献

1
Supporting communication for patients with neurodegenerative disease.
NeuroRehabilitation. 2015;37(1):69-87. doi: 10.3233/NRE-151241.
2
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Disabil Rehabil Assist Technol. 2016 Oct;11(7):548-57. doi: 10.3109/17483107.2015.1027298. Epub 2015 Mar 25.
3
What would brain-computer interface users want: opinions and priorities of potential users with spinal cord injury.
Arch Phys Med Rehabil. 2015 Mar;96(3 Suppl):S38-45.e1-5. doi: 10.1016/j.apmr.2014.05.028.
4
5
Brain-computer interface: current and emerging rehabilitation applications.
Arch Phys Med Rehabil. 2015 Mar;96(3 Suppl):S1-7. doi: 10.1016/j.apmr.2015.01.007.
6
Towards a holistic assessment of the user experience with hybrid BCIs.
J Neural Eng. 2014 Jun;11(3):035007. doi: 10.1088/1741-2560/11/3/035007. Epub 2014 May 19.
7
Noninvasive brain-computer interfaces for augmentative and alternative communication.
IEEE Rev Biomed Eng. 2014;7:31-49. doi: 10.1109/RBME.2013.2295097.
8
RSVP Keyboard: An EEG Based Typing Interface.
Proc IEEE Int Conf Acoust Speech Signal Process. 2012. doi: 10.1109/ICASSP.2012.6287966.
9
Brain-computer interface with language model-electroencephalography fusion for locked-in syndrome.
Neurorehabil Neural Repair. 2014 May;28(4):387-94. doi: 10.1177/1545968313516867. Epub 2013 Dec 26.
10
The Asilomar Survey: Stakeholders' Opinions on Ethical Issues Related to Brain-Computer Interfacing.
Neuroethics. 2013;6(3):541-578. doi: 10.1007/s12152-011-9132-6. Epub 2011 Aug 17.

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