Collaboration Technologies and Social Computing

This paper describes and evaluates three methods for anonymizing location data in the context of an example of practical relevance. These anonym‐ ization methods are designed for a smartphone-based system to integrate volun‐ tary helpers into professional rescue processes, especially in case of time-critical medical emergencies, but can also be used for other collaboration approaches. We analyze the methods with a focus on anonymity of the operation site, precision and filtering.

[1]  Daniel Olgu ´ õn,et al.  Sensor-based organisational design and engineering , 2010 .

[2]  N. Magnenat-Thalmann,et al.  Real-Time Feedback System for Monitoring and Facilitating Discussions , 2012, Natural Interaction with Robots, Knowbots and Smartphones, Putting Spoken Dialog Systems into Practice.

[3]  Kazuhiro Otsuka.  Multimodal Conversation Scene Analysis for Understanding People's Communicative Behaviors in Face-to-Face Meetings , 2011, HCI.

[4]  Nathalie Bonnardel,et al.  The MoLE project: an international experiment about mobile learning environment , 2013, ECCE.

[5]  Andrew Jones,et al.  Achieving eye contact in a one-to-many 3D video teleconferencing system , 2009, ACM Trans. Graph..

[6]  Munekazu Date,et al.  Video conference 3-D display that fuses images to replicate gaze direction , 2011, 2011 IEEE Industry Applications Society Annual Meeting.

[7]  David Coyle,et al.  ReflectoSlates: personal overlays for tabletops combining camera-projector systems and retroreflective materials , 2014, CHI Extended Abstracts.

[8]  Enrico Rukzio,et al.  Pervasive information through constant personal projection: the ambient mobile pervasive display (AMP-D) , 2014, CHI.

[9]  Walter Bender,et al.  Influencing group participation with a shared display , 2004, CSCW.

[10]  Pierre Dillenbourg,et al.  An Interactive Table for Supporting Participation Balance in Face-to-Face Collaborative Learning , 2010, IEEE Transactions on Learning Technologies.

[11]  Andrei Sherstyuk,et al.  Design and Development of a Pose-Based Command Language for Triage Training in Virtual Reality , 2007, 2007 IEEE Symposium on 3D User Interfaces.

[12]  Arif Bramantoro,et al.  User-Centered QoS in Combining Web Services for Interactive Domain , 2009, 2009 Fifth International Conference on Semantics, Knowledge and Grid.

[13]  Hideaki Kuzuoka,et al.  The Advantages and Limitations of a Wearable Active Camera/Laser in Remote Collaboration , 2004 .

[14]  Herre van Oostendorp,et al.  Code Red: Triage, Or, COgnition-based DEsign Rules Enhancing Decisionmaking TRaining In A Game Environment , 2011 .

[15]  Walter Bender,et al.  The Impact of Increased Awareness While Face-to-Face , 2007, Hum. Comput. Interact..

[16]  Takahiro Tanaka,et al.  Improvement of Interruptibility Estimation during PC Work by Reflecting Conversation Status , 2014, IEICE Trans. Inf. Syst..

[17]  Toru Ishida.  The Language Grid - Service-Oriented Collective Intelligence for Language Resource Interoperability , 2011, The Language Grid.

[18]  Shogo Nishida,et al.  Activity Recognition for Risk Management with Installed Sensor in Smart and Cell Phone , 2011, HCI.

[19]  Andrei Sherstyuk,et al.  Teaching mass casualty triage skills using immersive three-dimensional virtual reality. , 2008, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[20]  Samuel Otim,et al.  A Case-Based Knowledge Management System for Disaster Management: Fundamental Concepts , 2006 .

[21]  Carl Gutwin,et al.  A Descriptive Framework of Workspace Awareness for Real-Time Groupware , 2002, Computer Supported Cooperative Work (CSCW).

[22]  Philipp Koehn,et al.  (Meta-) Evaluation of Machine Translation , 2007, WMT@ACL.