13th ACM International Conference on Ubiquitous Computing
  September 17-21, 2011
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Accepted Workshop Proposals

Workshops at UbiComp provide an opportunity to discuss and explore emerging areas of ubiquitous computing research with a group of like-minded researchers and practitioners. This year at UbiComp we are particularly happy to announce a strong workshop program, with both well-known recurrent workshops that address core UbiComp topics, as well as new exciting workshops picking up on novel fascinating themes.

Workshop attendees need to explicitly register for the workshop, which will include a separate workshop fee, in addition to registering for the main conference. Workshop titles and organizers are listed below. General questions about the workshops can be addressed to the Workshop Chairs (workshop2011@ubicomp.org); specific questions about any individual workshop should be directed to the organiser(s) of the workshop.

W1 - Second International Workshop on Ubiquitous Crowdsourcing: Towards a Platform for Crowd Computing

Maja Vukovic and Soundar Kumar

Crowdsourcing, a successful mechanism to harvest knowledge from the masses in domains ranging from healthcare, software development to managing disaster relief effort, offers endless opportunities to engage the networked crowds. With the adoption of mobile, digital and social media the crowds are increasingly reporting and acting upon events in smart environments; and sharing their data and experiences. Building upon First International Workshop on Ubiqitous Crowdsourcing, in this edition we challenge researchers and practitioners to identify requirements for a platform for crowd computing, arising from experiences in deployment crowdsourcing applications, which engage crowd members as sensors, controllers and actuators in smart cities and environments. This workshop will bring together researchers to produce a vision for the universal crowdsourcing platform, documenting it in a theme publication. In addition, accepted workshop papers will be shaped as the chapters for a book on “Scientific Foundations of a Crowd Computing Platform” following the workshop.


W2 - Mobile Sensing: Challenges, Opportunities and Future Directions

Nic Lane (Microsoft Research Asia); Tanzeem Choudhury (Dartmouth College); Feng Zhao (Microsoft Research Asia)

Mobile sensing is increasingly becoming part of everyday life due to the rapid evolution of the mobile phone into a powerful sensing platform. Popular consumer smartphones are now equipped with the necessary sensors to monitor a diverse range of human activities and commonly encountered contexts. The technical challenges of mobile sensing have attracted interest from various research communities, such as experts in machine learning, human computer interaction and mobile systems, who approach this emerging field with their own perspective due to differences in their interests and expertise. Progress within mobile sensing can be accelerated by increased cooperation and interaction between the different communities. This workshop seeks to provide a forum for a broad cross-section of mobile sensing researchers with diverse technical backgrounds to discuss key challenges and opportunities in mobile sensing research. We invite the submission of short position papers with multi-disciplinary perspectives on mobile sensing along with longer technical papers that represent the latest innovations in the field.


W3 - Second Workshop on 'Research in the Large'; Using App Stores, Wide Distribution Channels & Big Data in UbiComp Research

Henriette Cramer, Frank Bentley, Mattias Rost, and David Ayman Shamma

The proliferation of app stores and advancement of mobile devices has enabled gathering large datasets from wide audiences for research purposes, even for small research teams. In addition, existing ubiquitous services are providing researchers with data sets or access to content via APIs, greatly expanding the ability to study the use of these systems on a global scale. This offers huge opportunities, but also requires adaptations of existing methods and strategies to overcome the challenges inherent to wide deployment and dealing with large data sets in a UbiComp research context. This workshop provides a forum for researchers to exchange experiences and strategies for wide distribution of applications as well as gathering and analyzing large scale data sets.


W4 - The First International Workshop on Mobile Location-Based Service (MLBS)

Gary Chan, Edward Chang, and Michael Lyu

Developing LBS encounters technical challenges in several research disciplines, which often requires multi-disciplinary approaches. These areas include signal processing, signal fusion, data quality, data mining, machine learning, query processing, networking and distributed systems, and innovative applications. Furthermore, LBS must safeguard privacy, and conserve battery power, and takes minimal processing. This workshop aims to address these main issues. More specifically, the workshop encourages contributions on (but not limited to) the following topics:

  • Outdoor location signals, e.g., GPS and AGPS
  • Indoor location signals, e.g., WIFI, RFID, and NFC
  • Signal processing, filtering, error correction
  • Inertial navigation systems
  • Signal fusion
  • Data quality issues
  • Motion tracking
  • Privacy-award algorithms
  • Image-based location detection
  • Location-based image processing
  • Location-aware query processing and optimization
  • Location-aware distributed indexing
  • Stream-based one-pass data mining techniques
  • Spatially-enabled data mining techniques
  • Spatio-temporal query languages
  • Software architectures for mobile sensor networks
  • Novel applications, e.g., social, gaming
  • Experimental evaluations
  • Development and deployment efforts

W5 - International Workshop on Networking and Object Memories for the Internet of Things (NOMe-IoT 2011)

Harold Liu, Alexander Kroener, Chris Speed, Pan Hui, Fahim Kawsar, Wenjie Wang, Dan Wang, Boris Brandherm, Thomas Ploetz, Michael Schneider, Jens Haupert, adn Peter Stephan

Following the prognosis that predicts 50 to 100 billion of Internet connected things by 2020, we are now at the cross section of a paradigm shift and observing the metamorphosis that everyday things are going through - from things that learned-to-do to things that are learning–to-think to things that will learn-to-perceive (sense and response). The Internet of Things (IoT) technology is at the heart of this metamorphosis, and is rapidly gaining global attention from academia, industries, and governments. Manifold definitions of IoT trace back to the ITU vision, and also available from European Commission. In general, the IoT concept allows bidirectional communications among device, network, and backend data centers. It covers a wide scope of technologies including wireless/wired sensing, networking, computing and control, which together build feasible complex cyber physical systems (CPS) to support diverse applications, including smart grid, healthcare, intelligent transportation, and logistics, etc. An integral part of IoT systems is object memories, comprise hardware and software components that physically and/or conceptually associate digital information with real-world objects in an application-independent manner. Such information can take many different forms (structured data and documents, pictures, audio/video streams, etc.) and originate from a variety of sources (automated processes, sensors in the environment, users, etc.). If constantly updated, Digital Object Memories over time provide a meaningful record of an object's history and use. NOMe-IoT seeks to provide a foundation for discussing these challenges and to layout the future roadmap for IoT research. NOMe-IoT is the successor of two successful workshop series, DIPSO/DOMe-IoT 2007-10 in conjunction with UbiComp 2007-10. By bringing in several system and networking experts from academia and industry, this year's event extends the workshop's scope and aims to provide a forum to discuss and exchange ideas on recent research work, point out the directions for future research, and seek collaboration opportunities on all aspects of the IoT Systems.


W6 - Casemans 2011: The 5th ACM international workshop on Context-Awareness for Self-Managing Systems

Tomoko Yonezawa and Waltenegus Dargie

Recent advances in mobile and wireless technologies have contributed to the global availability and sharing of large-scale information. As a result, many noble and ubiquitous applications are emerging in the areas of healthcare, social networking, disaster avoidance and overcoming, independent living, etc. The desirable progress in the availability and sharing of information is not without side-effects or formidable challenges. Firstly, extracting the useful information from a large quantity of information in a seamless and timely manner is not simple. Secondly, the devices or mechanisms by which the information is gathered and processed are often limited in their processing and storing capability, which in turn has an effect on the quality of the information. Third, in a ubiquitous computing environment, it is not always possible to expect stable and reliable (as well as always available) sources to obtain critical data from the environment. Hence, noble data gathering, processing and delivery mechanisms are required for robust and reliable adaptation to take place in ubiquitous computing. With this respect, the Casemans 2011 workshop aims to complement the main UbiComp 2011 conference by setting the focus of the workshop on:

  • Investigating ways of self-managing paradigms to seamlessly acquire and process context related data from various context sources.

  • Investigating ways of building self-managing systems that employ context information to support seamless adaptation


W9 - The First International Symposium on Social and Community Intelligence (SCI-11)

Daqing Zhang, Bin Guo, Zhiwen Yu, and Francesco Calabrese

Social and community intelligence (SCI) defines a new paradigm that aims at revealing the individual/group behaviors, social interactions, as well as community dynamics (e.g., city hot spots, traffic jams) by mining the digital traces left by people while interacting with cyber-physical spaces . The digital traces are generated mainly from three information sources: Internet and Web applications, wireless sensor networks, mobile/wearable devices. The scale and richness of the multi-modal, mixed data sources present us an opportunity to compile the digital footprints into a comprehensive picture of individual’s daily life facets, transform our understanding of our lives, organizations and societies, and enable completely innovative services in areas like human health, public safety, city resource management, environme1354nt monitoring, and transportation management. SCI shares many commons with several close related areas: social computing, reality mining, human-centric sensing, and urban computing. Different from these areas that generally rely on one of the data sources for information extraction, SCI explores the fusion/aggregation of the three information sources to infer intelligence at the social and community level, ranging from individual activities, group behaviours, and social interaction within a community, to dynamics of a whole community (e.g., hot spot detection). This workshop aims at bringing together researchers exploring the future of this emerging field.


W10 - PETMEI 2011 - 1st International Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction

Andreas Bulling, Andrew T. Duchowski, and Päivi Majaranta

PETMEI 2011 will focus on pervasive eye tracking as a trailblazer for mobile eye-based interaction and eye-based context-awareness. We provide a forum for researchers from human-computer interaction, context-aware computing, and eye tracking to discuss techniques and applications that go beyond classical eye tracking and stationary eye-based interaction. We want to stimulate and explore the creativity of these communities with respect to the implications, key research challenges, and new applications for pervasive eye tracking in ubiquitous computing. The long-term goal is to create a strong interdisciplinary research community linking these fields together and to establish the workshop as the premier forum for research on pervasive eye tracking.


W11 - The Role of Design in UbiComp Research and Practice

Zhiyong Fu, John Zimmerman,Jiayu Wu, Chen Zhao, and Christopher Mustafa Kirwan

The workshop aims to provide a disciplinary forum for researchers and experts from design, computer science, psychology, and anthropology to exchange ideas on the issue of collaboration. It will build the understanding across disciplines and explore the potential opportunity for design in UbiComp research and practice. Industry has shown the power of collaboration among design, technology, and sociology. Looking at the successful examples in UbiComp products and services such as smart phones and tablet computers, design is always a critical discipline. It brings new insights by integrating many disciplines, and it has being a mediator to speak to every actors. Therefore, rethinking the construction of the current system and hearing the voice of design will determine the future of UbiComp. Especially in China, it is a challenge as well as an opportunity to balance the western and eastern and the disciplinary differences in the stage of manufacturing boom.

W12 - International Workshop on Situation, Activity and Goal Awareness (SAGAware2011)

Liming Chen, Ismail Khalil, Zhiwen Yu, Christian Becker, William K. Cheung, and Parisa Rashidi

Ubiquitous computing enables and supports anywhere, anytime, context-aware applications. Sensing, interpretation and integration of events, behaviours and environmental states are key to the success of such ubiquitous systems. Over the past two decades, there has been a constant shift of sensor observation modeling, representation, interpretation and usage, namely from low-level raw observation data and their direct/hardwired usage, data aggregation and fusion, to high-level formal context modeling and context-based computing. It is envisioned that this trend will continue towards a further higher level of abstraction, allowing situation, activity and goal modeling, representation and inference, thus realizing the vision of ubiquitous computing. This workshop intends to bring together researchers and practitioners from relevant fields to present and disseminate the latest accomplished and/or ongoing research on Situation, Activity and Situation Awareness (SAGAware) and their novel application in ubiquitous computing. It aims to facilitate knowledge transfer and synergy, bridge gaps between different research communities/groups, lay down foundation for common purposes, and help identify opportunities and challenges for interested researchers and technology and system developers.


W13 - Ubiquitous Affective Awareness and Intelligent Interaction

Bin Hu, Jurg Gutknecht, and Li Liu /font>

This workshop aims to build a forum for researchers from academy and industry to investigate challenging and innovative research issues in the subject,which combines Affective Interaction within ubiquitous environment and to expore creative concepts,theories,innovative technologies and intelligent solutions.Potential participants may come from communities of ubiquitous computing,intelligent computing,brain computer interaction,affective computing,neuroergonomics, cognitive neuroscience etc.


W14 - Trajectory Data Mining and Analysis

Feng Lu, Xing Xie, and Shih-Lung Shaw

Trajectory data mining has been a hot topic in the interdisciplinary field of computer science and geographic information science. Particularly, recent advancements of information and location-aware technologies have enhanced our capability of collecting individual trajectory data for people, vehicles, or other moving objects. An individual trajectory can reveal the individual’s activities in space and over time. Large amounts of individual trajectories could reflect people’s preferences and behavior patterns. Thus, trajectory data mining and analysis can be useful to ubiquitous computing. The objective of this workshop is to share knowledge of ongoing research among researchers and practitioners, to present and discuss work related to novel methods of trajectory data mining and analysis, innovative applications, and future trends in the field.


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