Project Details
Description
The project aimed to position Dr. Bujar Raufi as a leading researcher in Personalized User Experiences, with a focus on human Mental Workload (MWL) through advanced training and inter-sectoral mobility.
Data proliferation on the Web introduced interaction problems like user disorientation, resulting in poor engagement. The project addressed this by delivering personalized content and navigation using MWL, particularly for instances where users were overwhelmed with data. The host organization, Technological University of Dublin (TU Dublin), was part of CeADAR, Ireland’s national center for Applied Data Analytics and AI.
The project enhanced Dr. Raufi's research career through training, emphasizing the transfer of knowledge and inter-sectoral mobility. As the Web became a global information system, users struggled to find relevant information efficiently, causing cognitive load and fatigue. The project developed content-aware, rich web interfaces to deliver personalized experiences by measuring cognitive factors, reducing search time and effort.
Key activities included:
- Identifying and analyzing cognitive load and user activity patterns (clicks, scrolls, navigation) for cognitive load assessment.
- Designing MWL-based User Models (UMs) to enhance user interaction.
- Applying and evaluating these UMs in a proof-of-concept design.
Research questions and objectives included:
- How can MWL contribute to defining User Models (UMs) for web users?
- How do these MWL-based UMs enhance user experience and reduce disorientation?
Objectives:
- Investigated behavioral indicators for assessing MWL during web interaction, exploring non-invasive pattern extraction methods.
- Defined MWL-based UMs from interaction patterns.
- Developed a proof-of-concept personalized Web Interface using UMs.
- Evaluated personalization techniques enhanced with MWL-based UMs.
The project was supported by a program of research and professional development at TU Dublin, including a ten-month secondment with one of CeADAR's industry partners, focusing on proof-of-concept design. The skills in personalization and software development complemented the expertise within TU Dublin and CeADAR, facilitating knowledge exchange and enhancing applied research careers.
Data proliferation on the Web introduced interaction problems like user disorientation, resulting in poor engagement. The project addressed this by delivering personalized content and navigation using MWL, particularly for instances where users were overwhelmed with data. The host organization, Technological University of Dublin (TU Dublin), was part of CeADAR, Ireland’s national center for Applied Data Analytics and AI.
The project enhanced Dr. Raufi's research career through training, emphasizing the transfer of knowledge and inter-sectoral mobility. As the Web became a global information system, users struggled to find relevant information efficiently, causing cognitive load and fatigue. The project developed content-aware, rich web interfaces to deliver personalized experiences by measuring cognitive factors, reducing search time and effort.
Key activities included:
- Identifying and analyzing cognitive load and user activity patterns (clicks, scrolls, navigation) for cognitive load assessment.
- Designing MWL-based User Models (UMs) to enhance user interaction.
- Applying and evaluating these UMs in a proof-of-concept design.
Research questions and objectives included:
- How can MWL contribute to defining User Models (UMs) for web users?
- How do these MWL-based UMs enhance user experience and reduce disorientation?
Objectives:
- Investigated behavioral indicators for assessing MWL during web interaction, exploring non-invasive pattern extraction methods.
- Defined MWL-based UMs from interaction patterns.
- Developed a proof-of-concept personalized Web Interface using UMs.
- Evaluated personalization techniques enhanced with MWL-based UMs.
The project was supported by a program of research and professional development at TU Dublin, including a ten-month secondment with one of CeADAR's industry partners, focusing on proof-of-concept design. The skills in personalization and software development complemented the expertise within TU Dublin and CeADAR, facilitating knowledge exchange and enhancing applied research careers.
| Status | Finished |
|---|---|
| Effective start/end date | 1/11/20 → 31/10/23 |
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