What future for human-machine symbiosis?

• Autorzy: Hancock P. A.
• Języki publikacji: EN

Abstrakty

EN

The brain is the single most complex organ of which we are presently aware. However, the way which it assimilates informa¬tion and subsequently directs action seems more limited than our desires express. To effect greater ranges of action, the brain can join with its peers in social interaction but gesture and language are again apparently, frustratingly slow compared to the speed of thought. Fracturing some of these apparent rate-limitations and intrinsic barriers betwe¬en human and human, and human and ma¬chine now seem synonymous with ‘progress’ (although the purported ‘arrow of time’ ma¬kes this perspective almost inevitable). Ho¬wever, the dichotomy of the individual and the collective is not solved by the fractionization of the boundaries of what we call the human and what we call the machine. We are truly a species like no other. It may well be that the emergent entity of the integrated human-machine system will become the unit of evolution itself. This line of development promises a radical departure from how we have perceived ourselves up until now. It begs the question not can we do this but should we do this? Statistically and histori¬cally, the most probable outcome is that this union will destroy itself and pass into extinc¬tion before a new stable state of transient equilibrium can be achieved. As a general observation, it is doubtful that the Universe will notice.

• Wydawca: -
• Czasopismo: Ergonomia
• Rocznik: 2007
• Tom: 29
• Numer: 1
• Opis fizyczny: p.17-18,ref.

Twórcy

autor

Hancock P. A.

• University of Central Florida, USA

Bibliografia

• Hancock PA, 1997, Essays on the Future of Human-Machine Systems. Banta: Eden Prairie: MN.
• Hancock PA, Szalma JL, 2002, The future of neuroergonomics. Theoretical Issues in Ergono¬mic Science, 4, 1, 238-249.
• Hochberg LR, Serruya MD, Driehs GM, Mukand JA, Saleh M, Caplan AH et al., 2006, Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature, 442(7099), 164-171.
• Licklider JCR, I960, Man-computer symbiosis. IRE Transactions on Human Factors in Electro¬nics, HFE-1, 4-11.
• Voelker M, Fromherz P, 2006, Nyquist noise of cell adhesion detected in a neuron-silicon transistor. Physical Review Letters, 96, 228102.

Uwagi

PL

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