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Showing posts with the label physiological computing

“Lifelogging” and neurophysiological computing: Will we forget how to forget?

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One of the most famous examples of reminiscence includes a madeleine dipped in tea, which lead to almost 3,000 pages of recollection by the narrator in the beginning of Marcel Proust's novel In Search of Lost Time, and we have all experienced these sensory triggers to a particular memory. Remembering the past helps us to re-examine our lives, make choices, and share personal accomplishments. We often use external devices to help us remember events big and small, and with advances in technology, we often record and make plans using a variety of digital devices such as iPhones, Microsoft’s Outlook, and even smart watches. We have the capability to store a lifetime of data with these advanced technologies, and with the advent of Facebook, Twitter, “selfies”, and blogs it has become routine for many people to document their lives on a daily basis in a digital form, a practice that has been referred to as “lifelogging.” The outcome of documenting activities digitally are human digital m...

“Pass-thoughts” and non-deliberate physiological computing: When passwords and keyboards become obsolete

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Imagine opening your email on your computer not by typing a number code, a password, or even by scanning a finger, but instead by simply thinking of a password. Physical keys and garage door openers could also become artifacts of the past once they are replaced with what could be referred to as pass-thoughts . Just last year, researchers at UC Berkley used EEG signals emitted from subjects as biomarker identifiers to allow access to a computer. The entire system – the headset, the Bluetooth device, and the computer – had an error rate of less than 1%. 1 While wearing EEG headsets to open our devices may seem futuristic, this type of scenario could become more prevalent in the future due to advances in physiological computing (PC). Physiological computing is a unique form of human computer interactions because the input device for a computer is any form of real-time physiological data, such as a heart-rate or EEG signal. This is in stark contrast to the peripheral devices that we are...