Ethical dimensions of commercial and DIY neutotechnologies /

Ethical Dimensions of Commercial and DIY Neurotechnologies Volume Three, the latest release in the Developments in Neuroethics and Bioethics series, highlights new advances in the field, with this new volume presenting interesting chapters on timely topics surrounding neuroethics and bioethics. Each...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Bard, Imre (Editor ), Hildt, Elisabeth (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, MA : Academic Press, 2020.
Edición:First Edition.
Colección:Developments in neuroethics and bioethics ; v. 3.
Temas:
Neurotechnology (Bioengineering) > Moral and ethical aspects.
Neurotechnologie > Aspect moral.
Neurosciences > Moral and ethical aspects
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Intro
  • Ethical Dimensions of Commercial and DIY Neurotechnologies
  • Copyright
  • Contents
  • Contributors
  • Preface: Ethical aspects of DIY and commercial neurotechnologies
  • Acknowledgments
  • References
  • Chapter One: Peering into the mind? The ethics of consumer neuromonitoring devices
  • 1. Introduction
  • 2. Review of EEG
  • 3. Direct-to-consumer EEG devices
  • 3.1. Assessing the market
  • 3.2. Mapping claims
  • 4. Ethical considerations
  • 4.1. Current considerations
  • 4.2. Mid-term: Fatigue and attention monitoring
  • 4.3. Long-term: Neural privacy
  • 5. Conclusion
  • References
  • Chapter Two: A field with a view: Ethical considerations for the fields of consumer neuroscience and neuromarketing
  • 1. Introduction
  • 2. Ethical issues associated with common methods used in Neuromarketing
  • 2.1. Functional magnetic resonance imaging (fMRI)
  • 2.1.1. Price primacy
  • 2.1.2. Fandom
  • 2.2. Electroencephalography (EEG)
  • 2.2.1. Predicting market-level key performance indicators
  • 2.2.2. Consent at market-level
  • 2.2.3. Integrating EEG with other neuro measures
  • 2.3. Biometrics
  • 2.3.1. Face-based data
  • 2.3.2. Cardiac measures
  • 2.3.3. Galvanic skin conductance
  • 2.3.4. Combining measures
  • 2.3.5. Integrating information across data sources
  • 3. Ethical issues associated with informed consent and dissemination of data
  • 3.1. Active data acquisition
  • 3.1.1. Incidental findings in non-diagnostic, commercial neuro data
  • 3.1.2. Neuromarketers opt-in code of ethics
  • 3.1.3. Considering the ethics of case examples when neuromarketing research is done for good
  • 3.2. Passive data acquisition
  • 3.2.1. Video-based face recognition software
  • 3.2.2. Video-based emotion detection
  • 3.2.3. Three ethical issues associated with face recognition software
  • 3.2.4. Ethical concerns over emotion recognition patents
  • 3.3. Vulnerable populations
  • 3.3.1. Cultural biases in neuro technologies
  • 4. Ethical issues associated with unintended applications of academic research
  • 4.1. Facial information in the social media age
  • 4.1.1. Face familiarity and voter persuasion
  • 4.1.2. Personality trait and emotional state information
  • 4.1.3. Traits and political party affiliation
  • 4.1.4. The Big Five
  • 4.1.5. Predicting traits through visual search patterns
  • 4.1.6. Covert detection
  • 4.1.7. Engineering social emotion contagion
  • 4.2. The commercial advantage of high cognitive load self-regulatory mechanisms
  • 4.2.1. Self-regulation
  • 4.2.2. Mental effort
  • 4.3. Contextual drivers of consumer choice
  • 4.3.1. Gaze cascade and perceived preference
  • 4.3.2. Better-for-you nudging of choreographed visual merchandising
  • 4.3.3. The decoy effect
  • 4.3.4. In-store slack
  • 4.4. Implications of inferential knowledge from triangulating data streams
  • 4.4.1. Layered voice analysis
  • 4.4.2. Wearables and fitness trackers
  • 4.4.3. Wearable data security breaches
  • 4.5. Architecting preference
  • 5. Conclusions

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