Topics for Projects and Thesis @IWM/KC

Contact: Andreas S. Rath (arath@know-center.at), Didier Devaurs (ddevaurs@know-center.at)

The topic “Online Task Detection” belongs to the research field of User Context Detection. The term “user context” is used to describe a user’s computational environment (e.g. user interactions, current task, recently opened documents, work environment). User context is described in formal “user context models” and may be utilized for task recognition, context-based information retrieval or context-aware applications.
For a Bachelor or Master Thesis or Project in the field of User Context Detection, you need basic programming skills and interest for the following fields

For a Bachelor or Master Thesis or Project in the field of User Context Detection, you need basic programming skills and interest for the following fields

Human Computer Interaction, Personal Information Management, Semantic Technologies, Machine Learning and Context-Aware Information Retrieval

Short description of the project “Online Task Detection”

• A task is a piece of work that needs to be done by a user. User context observation mechanism can capture those parts of the task execution that involve interactions with the user’s computer desktop, applications and resources. Based on these observations task detection should detect which task is currently performed by the user.
• Detecting the task a user is performing at the moment is challenging because the user can utilize multiple resources or can switch between various tasks (multi-tasking).
• The goal of the project is to find and implement algorithms that can detect which parts of the observed user context belong to the same task. The evaluation of the algorithms can be done on existing user context datasets and should be implemented into an already existing prototype that is based on Java and Eclipse RCP.

For an overview of all topics related to User Context Detection see User Context Detection - Themen SS 2009

Contact:  Didier Devaurs (ddevaurs@know-center.at), Andreas S. Rath (arath@know-center.at)

The topic “User-oriented Task Detection” belongs to the research field of User Context Detection. The term “user context” is used to describe a user’s computational environment (e.g. user interactions, current task, recently opened documents, work environment). User context is described in formal “user context models” and may be utilized for task recognition, context-based information retrieval or context-aware applications.
For a Bachelor or Master Thesis or Project in the field of User Context Detection, you need basic programming skills and interest for the following fields

For a Bachelor or Master Thesis or Project in the field of User Context Detection, you need basic programming skills and interest for the following fields

Human Computer Interaction, Personal Information Management, Semantic Technologies, Machine Learning and Context-Aware Information Retrieval

Short description of the project “User-oriented Task Detection”

• A task is a piece of work that needs to be done by a user. User context observation mechanism can capture those parts of the task execution that involve interactions with the user’s computer desktop, applications and resources. Based on these observations task detection should detect which task is currently performed by the user.
• The notification of a user that a new task has been detected may interrupt the user’s work, such that is important to reduce false and too often notification.
• The goal of the project is to study “when” and “how” a task should be detected and presented to the user for confirming or refining the detection result. The gathered insight should be implemented into an already existing prototype that is based on Java and Eclipse RCP.

For an overview of all topics related to User Context Detection see User Context Detection - Themen SS 2009

Contact: Didier Devaurs (ddevaurs@know-center.at), Andreas S. Rath (arath@know-center.at)

The topic “Context Detection in Web Browsers” belongs to the research field of User Context Detection. The term “user context” is used to describe a user’s computational environment (e.g. user interactions, current task, recently opened documents, work environment). User context is described in formal “user context models” and may be utilized for task recognition, context-based information retrieval or context-aware applications.
For a Bachelor or Master Thesis or Project in the field of User Context Detection, you need basic programming skills and interest for the following fields

For a Bachelor or Master Thesis or Project in the field of User Context Detection, you need basic programming skills and interest for the following fields

Human Computer Interaction, Personal Information Management, Semantic Technologies, Machine Learning and Context-Aware Information Retrieval

Short description of the project “Context Detection in Web Browsers”

• The web browser has become a key application on nowadays desktop computers which is used for various types of tasks. Hence it would be interesting to observe how users utilize the browser and how they interact with it when they perform their tasks.
• Since it is tedious and time consuming for the users to manually have enter and describe what they are doing it is a necessity to develop mechanisms that are able to automatically collect context data about the users.
• The goal of this project is analyze what kind of user context information can automatically be collected in a web browser and to develop plug-ins for web browsers to do so. User context data can be but is not limited to the currently viewed web page, mouse movements, text and mouse inputs, text highlighting, text modifications, page content that is currently in focus, bookmarking, reloading a webpage, forward and backward navigation, printing, using the search box or copy & cut & paste interactions.

For an overview of all topics related to User Context Detection see User Context Detection - Themen SS 2009