Organic Interfaces; or, How Human Beings Augment Their Digital Devices

It is a central premise of the advertising campaigns for nearly all digital communication devices that buying them augments the user: they give us a larger, better memory; make us more “creative” and “productive”; and/or empower us to access whatever information we desire from wherever we happen to be. This study is about how recent popular cinema represents the failure of these technological devices to inspire the enchantment that they once did and opens the question of what is causing this failure. Using examples from the James Bond films, the essay analyzes the ways in which human users are frequently represented as the media connecting and augmenting digital devices and NOT the reverse. It makes use of the debates about the ways in which our subjectivity is itself a networked phenomenon and the extended mind debate from the philosophy of mind. It will prove (1) that this represents an important counter-narrative to the technophilic optimism about augmentation that pervades contemporary advertising, consumer culture, and educational debates; and (2) that this particular discourse of augmentation is really about technological advances and not advances in human capacity.

“All Data is Credit Data,” or, On Close Reading as a Reciprocal Process in Digital Knowledge Environments

The new knowledge environments of the digital age are oen described as places where we are all closely read, with our buying habits, location, and identities available to advertisers, online merchants, the government, and others through our use of the Internet. This is represented as a loss of privacy in which these entities learn about our activities and desires, using means that were unavailable in the pre-digital era. This article argues that the reciprocal nature of digital networks means 1) that the privacy issues that we face online are not radically different from those of the pre-Internet era, and 2) that we need to reconceive of close reading as an activity of which both humans and computer algorithms are capable.