User-centered design in brain–computer interfaces—A case study

Schreuder, Martijn; Riccio, Angela; Risetti, Monica; Dähne, Sven; Ramsay, Andrew; Williamson, John; Mattia, Donatella; Tangermann, Michael

doi:10.1016/j.artmed.2013.07.005

Cited by 71 publications

(56 citation statements)

References 31 publications

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“…Similar to the previous research, the current response rate by the system, the aesthetic design of the electrode cap and use of gel would be significant barriers for everyday use [12] [22] [23]. Equally, the setup of the system was found to be very complex for non-expert users and the current time necessary to complete the set up will limit its ability to fit into a daily routine [22].…”

Section: Discussionmentioning

confidence: 93%

“…Additionally, Mulvenna et al [24] suggests personalizing the BCI system for individual needs to increase the lower efficacy rates by users with ABI while Schreuder and his team [23] felt that a range of cognitive profiles need to be taken into account at the design stage of BCI development. A number of biological, psychological and social factors could have impacted on the accuracy score that were not controlled for in this study.…”

Section: Discussionmentioning

confidence: 99%

“…Additionally, one end user (EU6) was not able to get adequate control of the BCI over the three sessions and was unable to complete the evaluation. Schreuder et al [23] recommend tailoring the BCI to the needs of the end user by trying a range of paradigms for best fit as opposed to only working with the one paradigm.…”

Section: Discussionmentioning

confidence: 99%

“…A number of recent studies have incorporated this approach successfully in the evaluation of BCI for longterm home use with end users with Amyotrophic Lateral Sclerosis (ALS) [12] [22]. Issues such as the complexity of the system set up; the speed and reliability of the BCI response rate; and the type of electrodes and design of the cap were found to be considerable barriers for the everyday use of currently tested BCI with end users [12] [22] [23].…”

Section: ____________________________________________________________mentioning

confidence: 99%

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P300 Brain Computer Interface Control after an Acquired Brain Injury

Daly¹,

Armstrong²,

Thomson³

et al. 2015

IJRITCC

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Abstract-Brain-Computer Interfaces (BCI) are systems that can be controlled by the user through harnessing their brain signals. Extensive research has been undertaken within a laboratory setting with healthy users to illustrate the usability of such systems. To bring these systems to users with severe disabilities it is necessary to develop simple, easy to use systems that can be operated b y non-experts outside of the lab and are evaluated by real end users preferably through a user centered design approach. This paper presents a user centered evaluation of a P300 BCI operated by non-expert users in a rehabilitation center with a control group of f i v e healthy participants w i t h o u t acquired brain injury ( A B I ) and five end users with ABI. Each participant aimed to complete the 30-ste p pr ot ocol three separate ti mes an d rate his or her satis fa cti on fr om 0 to 10 on the Visual Anal ogue S cale after each session. Participants then rated their satisfaction with the BCI on the extende d QUES T 2.0 and a customized usability questionnaire. The results indicated that end-users were able to achieve an average accuracy of 55% compared to the control group that reported an average of 78%. The findings indicated that participants were satisfied with the BCI but felt frustrated when it did not respond to their commands. This work was phase one of three to move the BCI system into end users homes. Key recommendations for advancing the P300 BCI towards an easy to use, home-based system were identified, including reducing the complexity of the setup, ensuring the system becomes more responsive and increasing the overall functionality.

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Section: Discussionmentioning

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: ____________________________________________________________mentioning

confidence: 99%

See 2 more Smart Citations

P300 Brain Computer Interface Control after an Acquired Brain Injury

Daly¹,

Armstrong²,

Thomson³

et al. 2015

IJRITCC

View full text Add to dashboard Cite

show abstract

“…However, the feasibility of administering the questionnaires and an adapted n-back task was confirmed. While the nback has been used widely in experimental psychology research, in research with SSPI the task was not adapted to account for the delayed speed of participants' responses (Schreuder et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

Teaching Mindfulness Meditation to Adults with Severe Speech and Physical Impairments: An Exploratory Study

GoodrichElena

WahbehHelane

MooneyAimee

et al. 2014

The Journal of Alternative and Complementary Medicine

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People with severe speech and physical impairments may benefit from mindfulness meditation training because it has the potential to enhance their ability to cope with anxiety, depression, and pain and improve their attentional capacity to use brain-computer interface systems. Seven adults with severe speech and physical impairments-defined as speech that is understood less than 25% of the time and/or severely reduced hand function for writing/typing-participated in this exploratory, uncontrolled intervention study. The objectives of this study were to describe the development and implementation of a six-week mindfulness meditation intervention and to identify feasible outcome measures in this population. The weekly intervention was delivered by an instructor in the participant's home, and participants were encouraged to practice daily using audio recordings. The objective adherence to home practice was 10.2 minutes per day. Exploratory outcome measures were an n-back working memory task, the Attention Process Training-II Attention Questionnaire, the Pittsburgh Sleep Quality Index, the Perceived Stress Scale, the Positive and Negative Affect Schedule, and a qualitative feedback survey. There were no statistically significant pre-post results in this small sample, yet administration of the measures proved feasible and qualitative reports were overall positive. Obstacles to teaching mindfulness meditation to persons with SSPI are reported, and solutions are proposed.

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The Analysis Method of Visual Information Searching in the Human-Computer Interactive Process of Intelligent Control System

Gedeon

Wang

2018

Advances in Intelligent Systems and Computing

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User-centered design in brain–computer interfaces—A case study

Cited by 71 publications

References 31 publications

P300 Brain Computer Interface Control after an Acquired Brain Injury

P300 Brain Computer Interface Control after an Acquired Brain Injury

Teaching Mindfulness Meditation to Adults with Severe Speech and Physical Impairments: An Exploratory Study

The Analysis Method of Visual Information Searching in the Human-Computer Interactive Process of Intelligent Control System

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