University of Twente Student Theses

Login

A data visualisation for finding information about robot avatars

Ruijter, M.A.C. de (2024) A data visualisation for finding information about robot avatars.

[img] PDF
5MB
Abstract:The rapid development of robot avatars, a system that transports a human’s senses, actions and presence to a remote location in real time, has caused people working in the robot avatar field to lose the overview of available technologies and projects going on all over the world. This leads to a lot of time spent on doing research which limits the development of robot avatars. This project aims to address this problem by developing an interactive web-based tool that provides a comprehensive overview of the latest developments and current projects in robot avatar technology. The tool is designed to be user-friendly, incorporating features such as filters and interactive visualisations to facilitate easy information retrieval. Through extensive background research, the project identifies the limitations of existing resources, which either cover robotics too broadly or focus narrowly on individual company technologies. This tool aims to bridge this gap by offering a balanced, focused overview of robot avatar technologies. Using a user-centred design approach, the project is built up through four phases: Ideation, Specification, Realization, and Evaluation. Each phase is iterative and includes user feedback to refine the tool's functionality and usability. Key findings from user interviews highlight the necessity for structured, credible, and updated information on technologies, key players, and ongoing projects in the field. Through an elimination process starting with seven visualisation ideas, a graphical visualisation was selected for its ability to present a broad overview while addressing specific user needs. This visualisation was developed into a high fidelity prototype and evaluated positively by potential users. The result of this project is a functional tool that enables users to navigate and filter information efficiently and is indicated to be useful in the user’s daily work.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Creative Technology BSc (50447)
Link to this item:https://purl.utwente.nl/essays/100757
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page