Wired Emotions: Ethical Issues of Affective Brain–Computer Interfaces

Steinert, Steffen; Friedrich, Orsolya

doi:10.1007/s11948-019-00087-2

Cited by 60 publications

(40 citation statements)

References 67 publications

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“…Obviously, the idea of continuous monitoring and access to someone's thoughts is dreadful, particularly when this information is collected and processed by a humanlike entity such as a robot. Especially, in the case of affective BCIs, there are unique challenges with respect to user autonomy as they entail the risk of manipulation or inducement of affective states without the user's consent (Steinert and Friedrich, 2020 ). Therefore, it is of high importance to scrutinize the ethical implications of BCI-driven robots and develop educational programs that communicate ethical guidelines to potential users before such technologies are released into the wild.…”

Section: Prospects and Challengesmentioning

confidence: 99%

Passive Brain-Computer Interfaces for Enhanced Human-Robot Interaction

Alimardani

Hiraki

2020

Front. Robot. AI

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Brain-computer interfaces (BCIs) have long been seen as control interfaces that translate changes in brain activity, produced either by means of a volitional modulation or in response to an external stimulation. However, recent trends in the BCI and neurofeedback research highlight passive monitoring of a user's brain activity in order to estimate cognitive load, attention level, perceived errors and emotions. Extraction of such higher order information from brain signals is seen as a gateway for facilitation of interaction between humans and intelligent systems. Particularly in the field of robotics, passive BCIs provide a promising channel for prediction of user's cognitive and affective state for development of a user-adaptive interaction. In this paper, we first illustrate the state of the art in passive BCI technology and then provide examples of BCI employment in human-robot interaction (HRI). We finally discuss the prospects and challenges in integration of passive BCIs in socially demanding HRI settings. This work intends to inform HRI community of the opportunities offered by passive BCI systems for enhancement of human-robot interaction while recognizing potential pitfalls.

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Section: Prospects and Challengesmentioning

confidence: 99%

Passive Brain-Computer Interfaces for Enhanced Human-Robot Interaction

Alimardani

Hiraki

2020

Front. Robot. AI

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“…Among the types of neurotechnology already available for research and for consumer purposes are those that use brain data to control software and hardware, those that display data for user’s purposes as neurofeedback, and those that seek to modify brain activity itself. These neurostimulation or neuromodulation devices use data derived from the brain to modulate subsequent brain activity, regulating it according to some desired state (Steinert and Friedrich 2019 ). This is quite a clear challenge to autonomy.…”

Section: Ethical Issues In Current and Future Neurotechnologymentioning

confidence: 99%

Brain Recording, Mind-Reading, and Neurotechnology: Ethical Issues from Consumer Devices to Brain-Based Speech Decoding

et al. 2020

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Brain reading technologies are rapidly being developed in a number of neuroscience fields. These technologies can record, process, and decode neural signals. This has been described as 'mind reading technology' in some instances, especially in popular media. Should the public at large, be concerned about this kind of technology? Can it really read minds? Concerns about mind-reading might include the thought that, in having one's mind open to view, the possibility for free deliberation, and for self-conception, are eroded where one isn't at liberty to privately mull things over. Themes including privacy, cognitive liberty, and self-conception and expression appear to be areas of vital ethical concern. Overall, this article explores whether brain reading technologies are really mind reading technologies. If they are, ethical ways to deal with them must be developed. If they are not, researchers and technology developers need to find ways to describe them more accurately, in order to dispel unwarranted concerns and address appropriately those that are warranted.

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“…A wide variety of applications for “affective BMIs” involve detecting or influencing users’ emotions or moods (Steinert and Friedrich 2020). One researcher’s EEG-based system is highly accurate in identifying positive and negative states (Wu et al 2017).…”

Section: Communication Visual and Affective Applicationsmentioning

confidence: 99%

Brain–Machine Interfaces as Commodities: Exchanging Mind for Matter

Reilly

2020

Linacre Q

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Brain–machine interfaces (BMIs), which enable a two-way flow of signals, information, and directions between human neurons and computerized machines, offer spectacular opportunities for therapeutic and consumer applications, but they also present unique dangers to the safety, privacy, psychological health, and spiritual well-being of their users. The sale of these devices as commodities for profit exacerbates such issues and may subject the user to an unequal exchange with corporations. Catholic healthcare professionals and bioethicists should be especially concerned about the implications for the essential dignity of the persons using the new BMIs. Summary: The commercial sale of brain-machine interfaces (BMIs) generates and exacerbates problems for end-users' safety, psychological health, and spiritual well-being.

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Wired Emotions: Ethical Issues of Affective Brain–Computer Interfaces

Cited by 60 publications

References 67 publications

Passive Brain-Computer Interfaces for Enhanced Human-Robot Interaction

Passive Brain-Computer Interfaces for Enhanced Human-Robot Interaction

Brain Recording, Mind-Reading, and Neurotechnology: Ethical Issues from Consumer Devices to Brain-Based Speech Decoding

Brain–Machine Interfaces as Commodities: Exchanging Mind for Matter

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