Emoti-OS tries to understand the collective mood of people it talks to. It does so to inform research on the impact of systems like this in social situations. It explores if awareness and empathy can be nurtured through such conversations, claiming these technologies for artistic production rather than commercial exploitation.
The purpose of the first iteration of Emoti-OS (13 Nov. – 19 Dec. 2017) was to determine the collective mood of Plymouth School of Creative Arts’ body of students by analysing the tone of their conversations with the chatbot, (a computer program that mimics conversation with people using artificial intelligence). It speculated whether a chatbot with a visual and emotionally driven character could engage and reflect the collective mood of a school in real time. Whilst doing so, could it also act as a channel for pupils and staff to express how they feel and see how others feel, in real-time, about their learning environment.
The second iteration of Emoti-OS for Factory Settings took place at Tate Exchange (31 January – 2 February 2018). It drew people into a brief conversation about how they feel about the act of ‘making’ in education and the act of artificial systems ‘making’, simultaneously reflecting the collective mood of those to whom it talked too. This iteration also integrated sentiment analysis of the the conversations being had with the chatbot using the IBM Watson™ Tone Analyzer service. The intention being to further speculate around the idea of systems measuring our emotive feelings in human-machine conversations.
This post was written by idatorg