Showing posts with label interface. Show all posts
Showing posts with label interface. Show all posts

Sunday, December 07, 2014

Bergson-Deleuze: Incorporating Duration into Nanocognition

French philosophers Bergson and Deleuze bring to nanocognition and machine ethics interfaces the philosophical conceptualizations of image, movement, time, perception, memory, and reality that can be considered for implementation in tools for both cognitive enhancement and subjectivation (the greater actualization of human potential).

From the standpoint of an Ethics of Perception of Nanocognition, Bergson and Deleuze stress the need to see perception in itself, and machine ethics interfaces could possibly help us do this through the concept of Cinema 3: the perception-image. Having had only one default (undoubled) means of perception (taking the actualized perceptions of daily life as the only kind of perception, just as we have taken linear, spatialized, narrative time as the only form of time) has meant that we have not considered that there may be multiple ways to perceive, and that these might exist on a virtual plane of possible perceiving, and coalesce through difference into actual perception. At minimum, our nanocognitive prosthetics might be able to introduce and manage the notion of multiplicity in virtual and actual perception.

Bergson-Deleuze exhorts us to notice the doubled, internal, qualitative, subjective experience of lived phenomena like movement, time, perception, reality, and ourselves. In particular, nanocognition allows us to see the full doubling of perception, because there cannot be a doubling if there is only one unexamined mode, if perception in itself cannot be seen. It is only through duration - the doubled, subjective experience of perception (the experience of perception itself) that its virtuality and multiplicity (possibility) can be seen. Importantly, the consequence of seeing the doubled side of perception and reality is that it allows us to tune into the possibility of possibility itself. The real goal of Bergson-Deleuze is not just seeing different possibilities for ourselves, but seeing possibility itself; this is the ultimate implication for nanocognition – conceiving of nanocognition as pure possibility in and of itself.

Sunday, April 13, 2014

Big Data: Reconfiguring and Empowering the Human-Data Relation

A strong new presence in contemporary life is big data (the collection and use of personal data by large institutions). As individuals, we can feel powerless in our relation with data.

At present, the human-data relation is one of fear, distance, powerlessness, lack of recourse, and diminished agency. There is an asymmetry of touch in the human-data relation where data can see and touch us without our noticing or being able to touch back. What is missing from the human-data relation is the capacity for humans to touch data in a meaningful way. The asymmetry of touch leads to an incomplete subjectivation of both the human and the data: big data creates a false composite in trying to model and understand the whole individual from just a few electronically-traceable activities, while humans have almost no sight or conceptualization of the entity that is big data.

There are at least two ways to humanize and improve the human-data relation. One is reconceptualizing subjectivation and personal identity as a malleable and dynamic association of elements and capacities, and the other is reconfiguring the power relation between humans and data. To balance the power relation so that humans are more empowered, non-profit institutions, watchdog organizations, and community groups could be created for the defense of personal data, and privacy could be overhauled as a practical impossibility and recast into a system of access rights and responsibilities conferred upon the data.

Presentation: The Philosophy of Big Data
Video (in French): La reconfiguration de la relation humaine-données par le toucher

Sunday, August 12, 2012

The ‘So What’ Interface – a Prescriptive Layer

When we see a calendar, we know what the information means, and readily map this to potential action-taking. This is not as clear with data displayed from the new era of the Health Internet of Things - the increasingly ubiquitous information climate of consumer biophysical monitoring and quantified self-tracking that surrounds us.

So far the main focus has been on Apple-y/iOS-y design and data visualization in health data streams such as 23andMe genomic data, Fitbit data, the Eatery food diary summarization data, or EKG data tracking across a smartphone screen when held up to the chest. However, we are all still scratching our heads as to what to do as a result of seeing the information.

The Prescriptive Interface
A whole new conceptual category of ‘what to do with this data’ needs to be articulated, named, and implemented – an intuitively-apparent prescriptive layer of suggested action-taking as a result of viewing the data. The two biggest challenges are first, these data streams are only nascently available and therefore meaning has not yet been determined in many cases, and second, there is little effort in determining and implementing a core set of principles for behavior influence and ambient suggestioning. Having these challenges solved could help constitute what is missing in the health data streams but not the calendar – knowing what the information means and what action to take as a result.