1. Research Direction Knowledge-enriched technologies Socialisation (working in communities crowd wisdom) Personalisation (right content at the right time to the right person) Ubiquitous technologies Augment knowledge capture ( R. Denaux, A.G. Cohn, G. Hart) Use of ontology to augment browsing in DL (I. Corda, B. Bennett) Capturing user experiences - Fire Risk Assessment (W. Eamsitavanna, D. Allen) Deriving models of communities, Community- tailored support ( S. Kleanthous ) Semantic social scaffolding (AWESOME) ( L. Lau, S. Bajanki, K. Kaufold, R. ORourke, A. Walker) Social semantic web and DL (British Library) INTELLIGENT AUGMENTATION (IA)

2. Intelligent Augmentation Augmentation – the act of augmenting, i.e. to understand, support, enhance, improve, increase, facilitate; discovering and responding to needs. What to augment – broad range: people (improve knowledge/skills/awareness) tasks (complex tasks, common tasks) practices (better working together, individual vs community, organisational practice) processes (individual & organisational processes)

3. Flipping the AI Artificial Intelligence – making intelligent machines which can perform tasks humans perform Intelligent Augmentation – use intelligent techniques to understand and support people, tasks, processes, and practices Change of Focus – not replace humans but augment their work; what can we augment, how can we be sure that the augmentation has happened

4. Related Terms Intelligence Augmentation – Lydias presentation Augmented Reality – [NOT RELATED] research in Virtual Reality, create immersive environments which enable real life experiences in a virtual world Augmented Intelligence or Computer-Augmented Intelligence – [TOO NARROW] similarity with computer-aided instruction; we aim for more than just learning

5. Initial Feedback: Points for Discussion What is the step change brought by IA? How can we justify and proof this? Why now? What can we do now which we could not do before? What impact can it make? Why is IA important, why the existing approaches do not offer the expected impact (what is missing in them which we are offering here)?