Motivation modulates the P300 amplitude during brain–computer interface use

The effect of multimodal and enriched feedback on SMR-BCI performance

“…However, in line with results of Gargiulo et al (2012) we could also show that multimodal feedback can reduce frustration and enhance motivation, making the use of a BCI more enjoyable. Learning to control a BCI is a complex task and psychological factors like motivation and frustration may play an important role (Kleih et al, 2010;Kleih and Kübler, 2013;Nijboer et al, 2008). Such psychological factors could be influenced by the choice of feedback presentation.…”

“…Being not in control of a BCI can make its use frustrating (Holz et al, 2015). Frustration has been experienced as problematic in BCI use (Curran and Stokes, 2003) and further Kleih et al (2010Kleih et al ( , 2013 showed that learning an SMR-BCI task is facilitated by increased motivation. If the enriched funnel feedback allowed for better learning, frustration may be lowered and motivation increased.…”

BNCI systems as a potential assistive technology: ethical issues and participatory research in the BrainAble project

“…BCI systems have been identified as having potential as an assistive technology as they make it possible to perform basic commands using thinking strategies alone and they are not reliant on voluntary muscular movement, making them suitable for people with severe communication difficulties [2][3][4] and in neurological rehabilitation [5] and enabling greater social inclusion [6]. While the effectiveness of these systems is recognised as varying widely, with user motivation being a key determinant of success [7], results have been sufficiently promising [8][9][10] to warrant further exploration with different groups of users. However, enthusiasm for BCI-based assistive technology based on successful use by non-disabled users has not been fully realised, a recent review stating that combinations of technological and economic constraints mean that "optimism in relation to applications for healthy users is more appropriate than in relation to BCI-based assistive technology" [11], and other authors have suggested that "non-medical" applications of BCI systems such as user state monitoring and gaming may hold more promise [12].…”

Proposal of a P300-based BCI Speller using a Predictive Text System

“…However, it is still needed to improve the usability of these BCI speller systems. Some factors, such as the mental fatigue induced by a long use (Kececi et al, 2006;Murata and Uetake, 2001), the sustained attention at a symbol on screen (Mangun and Buck, 1998), the user motivation (Kececi et al, 2006;Kleih et al, 2010) or his/her frustration due to a mistake (Kleih et al, in press) can influence the amplitude and latency of the P300 component (See Polich and Kok, 1995, for a review). In this regard, the influence on performance of the temporal and spatial aspects of the user interfaces of these systems is increasingly drawing the attention of researchers (Lu et al, 2013;McFarland et al, 2011;Shih et al, in press) This paper presents a study aimed at contributing to this line of research.…”

“…They are based on the P300 speller first developed by Donchin et al (2000), which is still referenced and intensely studied (Bianchi et al, 2010;Kleih et al, 2010;Krusienski et al, 2008;. In this BCI, a 6 x 6 matrix of letters, arranged in rows and columns, is shown to the subject.…”