AUIT - the Adaptive User Interfaces Toolkit for Designing XR Applications

João Marcelo Evangelista Belo, Mathias N. Lystbæk, Anna Maria Feit, Ken Pfeuffer, Peter Kán, Antti Oulasvirta, Kaj Grønbæk

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

25 Citations (Scopus)
73 Downloads (Pure)

Abstract

Adaptive user interfaces can improve experiences in Extended Reality (XR) applications by adapting interface elements according to the user's context. Although extensive work explores different adaptation policies, XR creators often struggle with their implementation, which involves laborious manual scripting. The few available tools are underdeveloped for realistic XR settings where it is often necessary to consider conflicting aspects that affect an adaptation. We fill this gap by presenting AUIT, a toolkit that facilitates the design of optimization-based adaptation policies. AUIT allows creators to flexibly combine policies that address common objectives in XR applications, such as element reachability, visibility, and consistency. Instead of using rules or scripts, specifying adaptation policies via adaptation objectives simplifies the design process and enables creative exploration of adaptations. After creators decide which adaptation objectives to use, a multi-objective solver finds appropriate adaptations in real-time. A study showed that AUIT allowed creators of XR applications to quickly and easily create high-quality adaptations.

Original languageEnglish
Title of host publicationUIST 2022 - Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology
PublisherACM
Number of pages16
ISBN (Electronic)978-1-4503-9320-1
DOIs
Publication statusPublished - 29 Oct 2022
MoE publication typeA4 Conference publication
EventACM Symposium on User Interface Software and Technology - Bend, United States
Duration: 29 Oct 20222 Nov 2022
Conference number: 35

Publication series

NameUIST 2022 - Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology

Conference

ConferenceACM Symposium on User Interface Software and Technology
Abbreviated titleUIST
Country/TerritoryUnited States
CityBend
Period29/10/202202/11/2022

Keywords

  • adaptive user interfaces
  • context-awareness
  • extended reality
  • multi-objective optimization
  • toolkit

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  • FCAI: Finnish Center for Artificial Intelligence (FCAI)

    Oulasvirta, A. (Principal investigator) & Jiang, Y. (Project Member)

    01/01/202231/12/2022

    Project: Academy of Finland: Other research funding

  • Human Automata: Simulator-based Methods for Collaborative AI

    Oulasvirta, A. (Principal investigator), Shiripour, M. (Project Member), Putkonen, A.-M. (Project Member), Rastogi, A. (Project Member), Hegemann, L. (Project Member), Iyer, A. (Project Member), Santala, S. (Project Member), Dayama, N. (Project Member), Laine, M. (Project Member), Halasinamara Chandramouli, S. (Project Member), Li, C. (Project Member), Zhu, Y. (Project Member), Liao, Y.-C. (Project Member), Kylmälä, J. (Project Member), Nioche, A. (Project Member) & Kompatscher, J. (Project Member)

    01/01/202031/12/2023

    Project: Academy of Finland: Other research funding

  • -: Bayesian Artefact Design

    Oulasvirta, A. (Principal investigator), Shin, J. (Project Member), Hegemann, L. (Project Member), Todi, K. (Project Member), Putkonen, A.-M. (Project Member), Halasinamara Chandramouli, S. (Project Member), Hassinen, H. (Project Member), Dayama, N. (Project Member), Leiva, L. (Project Member), Laine, M. (Project Member), Zhu, Y. (Project Member), Liao, Y.-C. (Project Member), Peng, Z. (Project Member) & Nioche, A. (Project Member)

    01/09/201831/08/2023

    Project: Academy of Finland: Other research funding

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