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Displaying 1-21 out of 21 total
Cross-Media Linking and Tagging Support for Learning Groups
Found in: Multimedia, International Symposium on
By Jürgen Steimle, Oliver Brdiczka, Max Mühlhäuser
Issue Date:December 2008
pp. 714-719
Typical tasks of learning groups and knowledge workers include working both with printed and digital documents. We present a pen-based and tangible interaction concept for the linking and tagging of documents in a mixed physical and digital environment. Th...
 
Modeling Attrition in Organizations from Email Communication
Found in: 2013 International Conference on Social Computing (SocialCom)
By Akshay Patil,Juan Liu,Jianqiang Shen,Oliver Brdiczka,Jie Gao,John Hanley
Issue Date:September 2013
pp. 331-338
Modeling people's online behavior in relation to their real-world social context is an interesting and important research problem. In this paper, we present our preliminary study of attrition behavior in real-world organizations based on two online dataset...
 
Identifying Routine and Telltale Activity Patterns in Knowledge Work
Found in: International Conference on Semantic Computing
By Oliver Brdiczka,Victoria Bellotti
Issue Date:September 2011
pp. 95-101
Our research addresses the question as to whether automatically collected quantitative data about people's behavior online can be analyzed to spot patterns that indicate behaviors of interest. Based on ethnographic studies, we find that people, going about...
 
Ubiquitous Semantics: How to Create and Navigate a Personal Semantic Network
Found in: International Conference on Semantic Computing
By Oliver Brdiczka
Issue Date:September 2011
pp. 291-295
Pervasive computing systems including smart phones, home computing systems, or intelligent home appliances collect and store more and more information about users. The amount of information that is constantly being accumulated for each user is enormous. Co...
 
CoScribe: Integrating Paper and Digital Documents for Collaborative Knowledge Work
Found in: IEEE Transactions on Learning Technologies
By Jürgen Steimle, Oliver Brdiczka, Max Mühlhäuser
Issue Date:July 2009
pp. 174-188
This paper presents CoScribe, a concept and prototype system for the combined work with printed and digital documents, which supports a large variety of knowledge work settings. It integrates novel pen-and-paper-based interaction techniques that enable use...
 
Paper-Centric Structuring in Learning Processes
Found in: Advanced Learning Technologies, IEEE International Conference on
By Jürgen Steimle, Oliver Brdiczka, Max Mühlhäuser
Issue Date:July 2008
pp. 685-687
Structuring constitutes an important means for enhancing individual and collaborative learning processes. This paper introduces two new concepts for augmented semantic structuring of paper-based learning processes. Digital Paper Bookmarks can be used for i...
 
CoScribe: Using Paper for Collaborative Annotations in Lectures
Found in: Advanced Learning Technologies, IEEE International Conference on
By Jürgen Steimle, Oliver Brdiczka, Max Mühlhäuser
Issue Date:July 2008
pp. 306-310
In a study of notetaking in university courses, we found that the large majority of students prefer the paper medium to the computer for taking notes and making annotations. Based on this finding, we developed CoScribe, a system which supports students in ...
 
Automatic Acquisition of Context Models and its Application to Video Surveillance
Found in: Pattern Recognition, International Conference on
By Oliver Brdiczka, Pong C. Yuen, Sofia Zaidenberg, Patrick Reignier, James L. Crowley
Issue Date:August 2006
pp. 1175-1178
This paper addresses the problem of automatically acquiring context models from data. Context and human behavior are represented using a state model, called situation model. This model consists of different layers referring to entities, filters, roles, rel...
 
Deterministic and Probabilistic Implementation of Context
Found in: Pervasive Computing and Communications Workshops, IEEE International Conference on
By Oliver Brdiczka, Patrick Reignier, James L. Crowley, Dominique Vaufreydaz, Jerome Maisonnasse
Issue Date:March 2006
pp. 46-50
This paper addresses the problem of implementing an abstract context model. First, the abstract context model is represented by a network of situations. Two different implementations for the situation model are then proposed: a deterministic one based on P...
 
Learning to Detect User Activity and Availability from a Variety of Sensor Data
Found in: Pervasive Computing and Communications, IEEE International Conference on
By Martin Mühlenbrock, Oliver Brdiczka, Dave Snowdon, Jean-Luc Meunier
Issue Date:March 2004
pp. 13
Using a networked infrastructure of easily available sensors and context-processing components, we are developing applications for the support of workplace interactions. Notions of activity and availability are learned from labeled sensor data based on a B...
 
A Bayesian Network Model for Predicting Insider Threats
Found in: 2013 IEEE CS Security and Privacy Workshops (SPW2013)
By Elise T. Axelrad,Paul J. Sticha,Oliver Brdiczka, Jianqiang Shen
Issue Date:May 2013
pp. 82-89
This paper introduces a Bayesian network model for the motivation and psychology of the malicious insider. First, an initial model was developed based on results in the research literature, highlighting critical variables for the prediction of degree of in...
   
Multi-Domain Information Fusion for Insider Threat Detection
Found in: 2013 IEEE CS Security and Privacy Workshops (SPW2013)
By Hoda Eldardiry,Evgeniy Bart, Juan Liu,John Hanley,Bob Price,Oliver Brdiczka
Issue Date:May 2013
pp. 45-51
Malicious insiders pose significant threats to information security, and yet the capability of detecting malicious insiders is very limited. Insider threat detection is known to be a difficult problem, presenting many research challenges. In this paper we ...
   
Automatic Development of an Abstract Context Model for an Intelligent Environment
Found in: Pervasive Computing and Communications Workshops, IEEE International Conference on
By Oliver Brdiczka, Patrick Reignier, James L. Crowley
Issue Date:March 2005
pp. 35-39
This paper addresses the problem of learning in intelligent environments. An intelligent environment perceives user activity and offers a number of services according to the perceived information about the user. An abstract context model in the form of a s...
 
Introduction to the special issue on interaction with smart objects
Found in: ACM Transactions on Interactive Intelligent Systems (TiiS)
By Daniel Schreiber, Kris Luyten, Max Mühlhäuser, Melanie Hartman, Oliver Brdiczka
Issue Date:July 2013
pp. 1-4
Smart objects can be smart because of the information and communication technology that is added to human-made artifacts. It is not, however, the technology itself that makes them smart but rather the way in which the technology is integrated, and their sm...
     
Show me a good time: using content to provide activity awareness to collaborators with activityspotter
Found in: Proceedings of the 16th ACM international conference on Supporting group work (GROUP '10)
By Brian Y. Lim, Oliver Brdiczka, Victoria Bellotti
Issue Date:November 2010
pp. 263-272
In order to study the effect supporting awareness of a colleague's activity on a collaborator's communication intentions, we developed ActivitySpotter. It is a research tool and awareness display that determines a user's current activity through a semantic...
     
From documents to tasks: deriving user tasks from document usage patterns
Found in: Proceeding of the 14th international conference on Intelligent user interfaces (IUI '10)
By Oliver Brdiczka
Issue Date:February 2010
pp. 285-288
A typical knowledge worker is involved in multiple tasks and switches frequently between them every work day. These frequent switches become expensive because each task switch requires some recovery time as well as the reconstitution of task context. First...
     
Temporal task footprinting: identifying routine tasks by their temporal patterns
Found in: Proceeding of the 14th international conference on Intelligent user interfaces (IUI '10)
By James Bo Begole, Norman Makoto Su, Oliver Brdiczka
Issue Date:February 2010
pp. 281-284
This paper introduces a new representation for describing routine tasks, called temporal task footprints. Routines are characterized by their temporal regularity or rhythm. Temporal pattern analysis (T-patterns) can be used to isolate frequent recurrent pa...
     
Predicting shoppers' interest from social interactions using sociometric sensors
Found in: Proceedings of the 27th international conference extended abstracts on Human factors in computing systems (CHI EA '09)
By James Begole, Maurice Chu, Oliver Brdiczka, Taemie J. Kim
Issue Date:April 2009
pp. 1-4
Marketing research has longed for better ways to measure consumer behavior. In this paper, we explore using sociometric data to study social behaviors of group shoppers. We hypothesize that the interaction patterns among shoppers will convey their interest...
     
Using temporal patterns (t-patterns) to derive stress factors of routine tasks
Found in: Proceedings of the 27th international conference extended abstracts on Human factors in computing systems (CHI EA '09)
By Bo Begole, Norman Makoto Su, Oliver Brdiczka
Issue Date:April 2009
pp. 1-4
We describe the use of a statistical technique called T-pattern analysis to derive and characterize the routineness of tasks. T-patterns provide significant advantages over traditional sequence analyses by incorporating time. A T-pattern is characterized b...
     
Digital paper bookmarks: collaborative structuring, indexing and tagging of paper documents
Found in: CHI '08 extended abstracts on Human factors in computing systems (CHI '08)
By Jurgen Steimle, Max Muhlhauser, Oliver Brdiczka
Issue Date:April 2008
pp. 49-54
Bookmarks provide an efficient and well established means for structuring, indexing and tagging documents, all important processes for successful learning. We present a prototype of Digital Paper Bookmarks, writable adhesive stickers which combine the intu...
     
Supervised learning of an abstract context model for an intelligent environment
Found in: Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies (sOc-EUSAI '05)
By James L. Crowley, Oliver Brdiczka, Patrick Reignier
Issue Date:October 2005
pp. 259-264
This paper addresses the problem of supervised learning in intelligent environments. An intelligent environment perceives user activity and offers a number of services according to the perceived information about the user. An abstract context model in the ...
     
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