1 / 5

Research Direction

INTELLIGENT AUGMENTATION (IA). Research Direction. Semantic social scaffolding (AWESOME) ( L. Lau , S. Bajanki, K. Kaufold, R. O’Rourke, A. Walker) Social semantic web and DL (British Library). Augment knowledge capture ( R . Denaux, A.G. Cohn, G. Hart)

knut
Télécharger la présentation

Research Direction

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

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

  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 – Lydia’s 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)?

More Related