Study level

  • PhD
  • Master of Philosophy
  • Honours

Faculty/School

Faculty of Science

School of Computer Science

Topic status

We're looking for students to study this topic.

Research centre

Supervisors

Dr David Conroy
Position
Course Coordinator
Division / Faculty
Faculty of Science
Dr Brandon Syiem
Position
Division / Faculty
Associate Professor Selen Turkay
Position
Associate Professor in Computer Human Interaction
Division / Faculty
Faculty of Science

Overview

This student research topic focuses on exploring and developing immersive systems that facilitate interactions between novice and expert users in the context of complex remote data analysis. The goal is to design and prototype innovative solutions that enhance the collaboration, learning, and training aspects of data analysis tasks.

The research will involve investigating various immersive technologies and their potential application in bridging the gap between novice and expert users, enabling effective knowledge transfer and skill acquisition.

Research activities

  • Literature review: Conduct an in-depth review of existing research and technologies related to immersive systems, remote data analysis, novice-expert interactions, and training methodologies.
  • User analysis: Identify the specific requirements, challenges, and preferences of both novice and expert users when it comes to remote data analysis and collaborative learning
  • System design: Propose and develop design concepts for immersive systems that cater to the identified user needs, incorporating interactive elements and training components
  • Prototype development: Implement a functional prototype of the immersive system, considering the chosen technology and interaction modalities, and integrating training features.
  • User evaluation: Conduct usability tests and user studies to assess the effectiveness, user experience, and learning outcomes of the developed immersive system.
  • Iterative refinement: Based on the evaluation results, iterate on the design and prototype to enhance its usability, performance, and suitability for novice-expert interactions in complex remote data analysis.

Outcomes

  • Design guidelines: Provide a set of design guidelines for co-designing immersive systems that support novice-expert interactions in remote data analysis, taking into account training requirements.
  • Immersive system prototype: Develop a functional prototype that demonstrates the feasibility and potential benefits of the proposed immersive system for enhancing collaborative learning and training in complex data analysis tasks.
  • Evaluation insights: Generate insights from user evaluations regarding the effectiveness, user satisfaction, and learning outcomes achieved through the immersive system, informing further improvements and future research directions.

Skills and experience

  • Background in human-computer interaction, computer science, or a related field.
  • Strong understanding of immersive technologies, such as virtual reality (VR) or augmented reality (AR), and their application in interactive systems.
  • Proficiency in prototyping tools and programming languages for developing immersive experiences (e.g., Unity, Unreal Engine, C#, Python).
  • Knowledge of data analysis techniques and familiarity with relevant tools (e.g., data visualization, statistical analysis).
  • Experience with user-centered design methods, including user research, usability testing, and user evaluation.
  • Good communication skills and the ability to work both independently and collaboratively.

Please note, the preferred skills and experience are not strict requirements but can greatly benefit the student's progress and success in the research topic.

Scholarships

You may be eligible to apply for a research scholarship.

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Keywords

Contact

Contact the supervisor for more information.