SSPPSC 2016 - Second International Workshop on Social Signal Processing for Personalisation in Smart Cities(SSPPSC'16)

Multimodal signal processing including computer vision, speech & image analysis, text mining, and machine-learning are the emerging forces in social signal interpretation framework and an active interdisciplinary research area. Technological advancement in these domains are capable of providing solutions for the needs of individuals, enterprises, non-profits, and the government agencies. Additionally web-based services such as Twitter, Facebook, and Flickr etc. have been part of a larger eco system to reach billions of users through information sharing. While these approaches require active participation of the individuals, behavioural and interactional analysis in public space can provide crucial input to public services within smart city infrastructure. .
Interpreting, modelling social signal and use of technology in the context of smart city initiative is anticipated to be a rewarding and challenging area of research. The larger context would require (a) Technological advancement, (b) Communities and organisational advancement and (c) Human factors advancement. This workshop will provide an interactive platform to address various aspects of the research challenges set in above mentioned categories (not limited to) and their contribution towards the theme of this workshop. The program will consist of invited talks, panels, discussion and peerreviewed paper submissions. The accepted papers will be published in the conference publication. .
This workshop will focus on the following subjects of interest, as well as related issues:
Technological advancement:
Multimodal fusion of traditional and technological cues e.g. visual, speech, emotion, pose, actions and activities for modelling and identification of social behaviour.
Data, evaluation and standards for multimodal interactive systems
Sensors, sensor networks and embedded hardware
Context-aware systems
Computer vision based tracking and crowd dynamics
Multimodal social signal processing including emotion recognition, gesture recognition, and affective computing
Surveillance, Security and privacy in monitoring and tracking services
Augmented reality, ambient displays and wearable devices
Interoperability of devices, tools and architectures
Machine-learning
Visualisation techniques
Communities and organisational advancement
Multimodal interaction processing
Social processes in organisations and communities
Knowledge management and organisational learning
Orchestration of smartizen activities
Business models for smart social technologies
Cultural considerations for socio-technical systems
Acceptance and Diffusion of socio-technical innovations
Privacy, Content protection, legal aspects & issues
Human factors advancement
Theoretical advancement for understanding human-human and human-agent social interactions
Modelling social behaviour
Crowd behaviour analysis
Aesthetic interaction and experience design
Evaluation of socio-technical systems and processes
Ethnographical and field studies
Even though the application of social signal technologies could be wide and varied our current focus is particularly on the following domains:
Healthcare (personalised networked healthcare, assisted living)
Education (formal and informal)
Disaster management
Traffic management
Crime management
Public Services
Organizing Chairs:
Dr Deepayan Bhowmik, Heriot-Watt University, UK
Dr Arunangsu Chatterjee, University of Plymouth, UK