Objective

Collective intelligence platforms, where large numbers of people contribute their skills, resources, and knowledge in a collaborative way, have emerged in recent years as a new type of socio-technical systems that use the creativity of their users to solve complex problems. However, digital infrastructures that support such collective intelligence are only successful and sustainable in the long term if they manage to adapt to the evolution of the ways in which they are used, and co-evolve meaningfully with their user base. The overall objective of this atelier is to build a prototypical Web-based collective intelligence system that has such adaptive capabilities. Participants will be trained in the fundamental theoretical and technological building blocks of such systems using the SmartSociety software platform, which contains many of the key components to engineering collective adaptive systems successfully.

Format

The atelier will involve daily lectures on each of the key technologies used in the SmartSociety platform, and the rest of the day group work implementation of an actual case study. The theoretical introductions will focus only very briefly on general material, and then go into aspects specific to collective adaptive systems for the most part.

Prerequisites

Participants are expected to have general mathematical literacy (background in mathematical notation, discrete mathematics, probability theory), and good programming skills. Experience with web programming (REST, Javascript, etc) is strongly recommended, as this will be extensively used in the practical part of the atelier.

Programme

Monday 5th September
15:30-17:00 Lecture: Introduction to Collective Adaptive Systems
Michael Rovatsos, University of Edinburgh

Tuesday 6th September
11:00-13:00 Lecture: Overview of SmartSociety Platform
Tommaso Schiavinotto, U-Hopper Srl
14:30-17:00 Lab: Experimentation with Orchestration Manager

Wednesday 7th September
11:00-13:00 Lecture: Introduction to semantic privacy technologies
Ronald Chenu-Abente, University of Trento
14:30-17:00 Lab: Experimentation with Peer Manager

Thursday 8th September
11:00-13:00 Lecture: Introduction to incentive mechanisms
Michael Rovatsos, University of Edinburgh
14:30-17:00 Lab: Experimentation with Incentives Manager

Friday 9th September
11:00-13:00 Lecture: Value-sensitive design
Mark Hartswood, University of Oxford
14:30-17:00 Lab: Completion of implementation
17:30-19:30 Final presentation

Smart-Watch Life Saver:
Smart-Watch Interactive-Feedback System for Improving Bystander CPR

This potentially life saving technology, uses a smart-watch to unobtrusively guide its user in efficiently delivering CPR, and is SmartSociety’s first step in developing the Smart Nurse project.

The 19th International Symposium on Wearable Computers (ISWC 2015) was a conference dedicated to cutting-edge research in wearable technologies, and took place on 7-11 September in Osaka, Japan.

You can find the paper through our website, here, or in the conference proceedings, here.

Abstract: In this work a Smart-Watch application, that is able to monitor the frequency and depth of Cardiopulmonary Resuscitation (CPR) and provide interactive corrective feedback is described. We have evaluated the system with a total of 41 subjects who had undertaken a single episode of CPR training several years previously. This training was part of a First Aid course for lay people, commonly accessed in this population. The evaluation was conducted by measuring participant CPR competence using the “gold standard” of CPR training, namely frequency and compression depth. The evaluation demonstrated that the Smart Watch feedback system provided a significant improvement in the participant performance. For example, it doubled the number of people who could maintain both the parameters in the recommended range for at least 50% of the time.

doi: http://doi.acm.org/10.1145/2802083.2802086

Citation: Agnes Gruenerbl, Gerald Pirkl, Eloise Monger, Mary Gobbi, and Paul Lukowicz. 2015. Smart-watch life saver: smart-watch interactive-feedback system for improving bystander CPR. In Proceedings of the 2015 ACM International Symposium on Wearable Computers (ISWC ’15). ACM, New York, NY, USA, 19-26.

Citation: http://bit.ly/1NgCIlk