Choose how you feel, you have seven options

A great piece by Ruben Van de Ven stemming from his artwork of the same name, published on the Institute of Network Culture site. Van de Ven, in a similar vein to Will Davies, deconstructs the logic of ‘affective’ computing, sentiment analysis and their application to what has been termed the ‘attention economy’. The article does a really go job of demonstrating how the knowledge claims, and the epistemologies (perhaps ontologies too), that are at work behind these technologies are (of course) deeply political in their application. Very much worth reading! (snippet below).

 ‘Weeks ago I saw an older woman crying outside my office building as I was walking in. She was alone, and I worried she needed help. I was afraid to ask, but I set my fears aside and walked up to her. She appreciated my gesture, but said she would be fine and her husband would be along soon. With emotion enabled (Augmented Reality), I could have had far more details to help me through the situation. It would have helped me know if I should approach her. It would have also let me know how she truly felt about my talking to her.’

FOREST HANDFORD

This is how Forest Handford, a software developer, outlines his ideal future for a technology that has emerged over the past years. It is known as emotion analysis software, emotion detection, emotion recognition or emotion analytics. One day, Hartford hopes, the software will aid in understanding the other’s genuine, sincere, yet unspoken feelings (‘how she truly felt’). Technology will guide us through a landscape of emotions, like satellite navigation technologies guide us to destinations unknown to us: we blindly trust the route that is plotted out for us. But in a world of digitized emotions, what does it mean to feel 63% surprised and 54% joyful?

Please take the time to read the whole article.

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