Deep Thinking Assignment 2

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1 Deep Thinking Assignment 1: The Future of Wearable Technology: Merging Humans with Computers Afsha Farnaz BA63471H123 Current and Emerging Technologies 07/22/2023

2 Introduction Wearable technology has progressed leaps and bounds, surpassing its initial focus on enhancing physical activity. As our book suggests, the future of wearables goes beyond just physical augmentation, delving into the realm of mental activity. This paper aims to explore the potential implications of merging humans with computers through wearable technology and present a roadmap for achieving this integration. Implications of Merging Humans with Computers Enhanced Cognitive Abilities: Wearable technology that seamlessly integrates with our minds has the potential to augment our cognitive abilities. This could include improved memory, heightened attention span, and enhanced learning capabilities. Such developments would have significant implications in education, professional settings, and various industries that rely on mental agility and performance. Brain-Computer Interfaces (BCIs): BCIs could revolutionize the way we interact with computers, allowing us to control devices directly with our thoughts. This could lead to novel forms of communication and interaction, benefiting individuals with physical disabilities and transforming areas like gaming, virtual reality, and prosthetic control. BCIs could enable intuitive communication with AI systems, enhancing their integration into daily life. Health Monitoring and Mental Well-being: Wearable technology could provide real-time monitoring of our mental states, alerting us to indicators of stress, anxiety, or fatigue. Such data can enable proactive interventions, helping individuals manage their mental well-being and reducing the risk of mental health disorders. This aspect holds immense potential for public

3 health and early intervention programs. Ethical Considerations and Privacy: The merging of humans with computers raises ethical challenges regarding privacy and data security. As wearable devices collect unprecedented amounts of intimate biometric and neurologic data, measures must be in place to protect users' privacy and prevent unauthorized access. Implementing rigorous security protocols and ensuring transparent data practices are vital to establishing trust in this evolving landscape. Achieving the Integration Technological Advances: Significant progress in the fields of neuroscience, biotechnology, and materials science is essential to develop wearable technologies capable of interacting with our mental activity. Continued research into brain-machine interfaces, flexible electronics, and data processing algorithms is necessary to overcome existing limitations. Collaborative Efforts: Collaboration between academia, industry, and regulatory bodies is crucial to achieve the envisioned future of wearable technology. Partnerships can accelerate innovation, align research efforts, and address regulatory concerns efficiently. A multidisciplinary approach encompassing experts from neuroscience, engineering, computer science, psychology, and ethics will be necessary for a comprehensive development roadmap. User-Centric Design: Developing wearables that are user-friendly, aesthetically pleasing, and non-invasive is imperative to encourage widespread adoption. Human factors research should emphasize user experience and acceptance, minimizing barriers to entry and maximizing the benefits of wearable technology. Conclusion The future of wearables holds immense potential beyond physical enhancements, extending into the domain of mental activity. This fusion of humans with computers promises to enhance cognitive abilities, revolutionize communication, and improve mental well-being.

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4 However, it is crucial to address the ethical implications and ensure data security and privacy. By embracing technological advancements, fostering collaboration, and prioritizing user-centric design, we can strive towards achieving this vision of merging humans with computers through wearable technology.

5 References Fong, T., & Nourbakhsh, I. (2013). Emotion and human-robot interaction. Foundations and Trends in Robotics, 1(3), 203-276. Gilja, V., Pandarinath, C., Blabe, C. H., Nuyujukian, P., Simeral, J. D., Sarma, A. A., ... & Shenoy, K. V. (2015). Clinical translation of a high-performance neural prosthesis. Nature Medicine, 21(10), 1142-1145. Picard, R. (2013). Affective Computing: From Laughter to IEEE. IEEE Transactions on Affective Computing, 4(3), 251-265. Van den Bergh, J., Boot, W. R., & Van der Linden, D. (2020). Mind the mind: The role of psychosocial factors and self-awareness in autonomous brain-computer interface use. Proceedings of the IEEE, 108(1), 80-94.

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