Brain-Computer Interfaces, Virtual Reality, and Videogames

Lécuyer, Anatole; Lotte, Fabien; Reilly, Richard B.; Leeb, Robert; Hirose, M.; Slater, Mel

doi:10.1109/mc.2008.410

Cited by 338 publications

(188 citation statements)

References 10 publications

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“…BCI and Virtual Environments: BCI have been early demonstrated as usable for interacting within 3D virtual environments [14]. They have been notably used for navigating in the virtual environment or moving a virtual object [14].…”

Section: Bcimentioning

confidence: 99%

“…They have been notably used for navigating in the virtual environment or moving a virtual object [14]. For a comprehensive survey on the combintation of BCI and Virtual Reality and videogames the interested reader can refer to recent surveys [7,14].…”

Section: Bcimentioning

confidence: 99%

“…BCI have also been used in novel interaction paradigms, where the BCI would not substitute for classical interaction peripherals but complement them. For instance it has been proposed to use the brain activity information for changing the interaction protocol or the content of the virtual world [14], which refers to the "passive BCI" approach.…”

Section: Bcimentioning

confidence: 99%

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Combining Brain-Computer Interfaces and Haptics: Detecting Mental Workload to Adapt Haptic Assistance

George

Marchal

Glondu

et al. 2012

Haptics: Perception, Devices, Mobility, and Communication

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Abstract. In this paper we introduce the combined use of BrainComputer Interfaces (BCI) and Haptic interfaces. We propose to adapt haptic guides based on the mental activity measured by a BCI system. This novel approach is illustrated within a proof-of-concept system: haptic guides are toggled during a path-following task thanks to a mental workload index provided by a BCI. The aim of this system is to provide haptic assistance only when the user's brain activity reflects a high mental workload. A user study conducted with 8 participants shows that our proof-of-concept is operational and exploitable. Results show that activation of haptic guides occurs in the most difficult part of the pathfollowing task. Moreover it allows to increase task performance by 53% by activating assistance only 59% of the time. Taken together, these results suggest that BCI could be used to determine when the user needs assistance during haptic interaction and to enable haptic guides accordingly.

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Section: Bcimentioning

confidence: 99%

Section: Bcimentioning

confidence: 99%

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Combining Brain-Computer Interfaces and Haptics: Detecting Mental Workload to Adapt Haptic Assistance

George

Marchal

Glondu

et al. 2012

Haptics: Perception, Devices, Mobility, and Communication

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show abstract

“…As the technology is getting better, the question arises whether BCI could also be beneficial for healthy users in some way, for example, by improving quality of life or by providing private, handsfree interaction [11,18]. There are still a lot of issues yet to solve, such as delays, bad mental task recognition rates, long training times, and cumbersome hardware [8]. Current BCI research concentrates on improving the recognition accuracy and speed, which are two important factors of how BCI systems are experienced.…”

Section: Introductionmentioning

confidence: 99%

A Study in User-Centered Design and Evaluation of Mental Tasks for BCI

Bos

Poel

Nijholt

2011

Lecture Notes in Computer Science

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Abstract. Current brain-computer interfacing (BCI) research focuses on detection performance, speed, and bit rates. However, this is only a small part of what is important to the user. From human-computer interaction (HCI) research, we can apply the paradigms of user-centered design and evaluation, to improve the usability and user experience. Involving the users in the design process may also help in moving beyond the limited mental tasks that are currently common in BCI systems. To illustrate the usefulness of these methods to BCI, we involved potential users in the design process of a BCI system, resulting in three new mental tasks. The experience of using these mental tasks was then evaluated within a prototype BCI system using a commercial online role-playing game. Results indicate that user preference for certain mental tasks is primarily based on the recognition of brain activity by the system, and secondly on the ease of executing the task.

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“…The direct BCIs can also be seen as a new means to extend communication for healthy subjects in many fields such as multimedia communication, control of robots, virtual reality and video games (Thomas, 1977;Friedman et al, 2004;Bell et al, 2008;Lécuyer et al, 2008). There are in general two types of BCI systems: endogenous tasks and exogenous tasks based systems (Dornhege et al, 2007).…”

Section: Introductionmentioning

confidence: 99%