Cover Image

Ethical dimensions of commercial and DIY neutotechnologies

Other Authors: Bard, Imre,, Hildt, Elisabeth,, ScienceDirect (Online service)
Format: eBook
Language: English
Published: Cambridge, MA : Academic Press, 2020.
Physical Description: 1 online resource.
Edition: First Edition.
Series: Developments in neuroethics and bioethics ; v. 3.
Subjects:
Neurotechnology (Bioengineering) -- Moral and ethical aspects.
Electronic books.
Table of Contents:
  • 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.

In Prospector

Similar Items