Content area

Abstract

The integration of smartphones with Extended Reality (XR) environments presents significant opportunities to enhance user interactions by leveraging the strengths of both mobile devices and Head-Mounted Displays (HMDs). This thesis addresses critical challenges in cross-device computing, focusing on developing comprehensive frameworks and innovative interaction techniques that facilitate seamless and precise interactions within XR settings. We propose a unified design space that synthesizes fragmented research into a cohesive framework, supporting both phone-centric and HMD-centric tasks. Building on this foundation, we develop novel interaction methods that employ spatial magnification and motion damping to improve target selection precision in virtual environments. Additionally, we introduce dynamic calibration algorithms that significantly enhance touch accuracy by reducing alignment errors between virtual and physical hands. Furthermore, we explore the impact of various interaction modalities and UI representations on user performance and satisfaction, demonstrating the effective adaptation of established 2D interaction techniques to 3D spatial contexts. Through user studies and prototype evaluations, our research validates the effectiveness of these approaches in enhancing usability, precision, and overall user experience. The findings highlight the potential of integrating smartphones with XR technologies to create more intuitive, efficient, and immersive interaction paradigms. This work not only addresses existing limitations in cross-device interactions but also lays the groundwork for future advancements in human-computer interaction within XR environments, paving the way for more sophisticated and user-centric applications.

Details

1010268
Title
Exploring Bidirectional Interfaces and Precise Input with Personal Devices in Extended Reality
Author
Number of pages
135
Publication year
2025
Degree date
2025
School code
0779
Source
DAI-B 87/1(E), Dissertation Abstracts International
ISBN
9798290912226
Committee member
Wigdor, Daniel; Singh, Karan; Chevalier, Fanny; Stuerzlinger, Wolfgang
University/institution
University of Toronto (Canada)
Department
Computer Science
University location
Canada -- Ontario, CA
Degree
Ph.D.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
31936807
ProQuest document ID
3234879408
Document URL
https://www.proquest.com/dissertations-theses/exploring-bidirectional-interfaces-precise-input/docview/3234879408/se-2?accountid=208611
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Database
ProQuest One Academic