Demonstrating TOM: A Development Platform for Wearable Intelligent Assistants in Daily Activities

Nuwan Janaka, Shengdong Zhao*, David Hsu*, Sherisse Tan Jing Wen, Chun Keat Koh

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Advanced wearable digital assistants can significantly enhance task performance, reduce user burden, and provide personalized guidance to improve users' abilities. However, developing these assistants presents several challenges. To address this, we introduce TOM (The Other Me), a conceptual architecture and open-source software platform (https://github.com/TOM-Platform) that supports the development of wearable intelligent assistants that are contextually aware of both the user and the environment. Collaboratively developed with researchers and developers, TOM meets their diverse requirements. TOM facilitates the creation of intelligent assistive AR applications for daily activities and supports the recording and analysis of user interactions, integration of new devices, and the provision of assistance for various activities. © 2024 Copyright held by the owner/author(s).
Original languageEnglish
Title of host publicationMobileHCI '24 Adjunct Proceedings - Publication of the 26th International Conference on Mobile Human-Computer Interaction
EditorsTilman Dingler, Flora Salim, Marion Koelle, Niels van Berkel, Jenny Waycott
PublisherAssociation for Computing Machinery
ISBN (Print)9798400705069
DOIs
Publication statusPublished - Sept 2024
Event26th International Conference on Mobile Human-Computer Interaction (MobileHCI 2024): Connecting Cultures - Melbourne, Australia
Duration: 30 Sept 20243 Oct 2024
https://mobilehci.acm.org/2024/

Publication series

NameMobileHCI Adjunct Proceedings - Publication of the International Conference on Mobile Human-Computer Interaction

Conference

Conference26th International Conference on Mobile Human-Computer Interaction (MobileHCI 2024)
Abbreviated titleMobileHCI'24
Country/TerritoryAustralia
CityMelbourne
Period30/09/243/10/24
Internet address

Funding

This research is supported by the National Research Foundation, Singapore, under its AI Singapore Programme (AISG Award No: AISG2-RP-2020-016). The CityU Start-up Grant 9610677 also provides partial support. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not reflect the views of the National Research Foundation, Singapore.

Research Keywords

  • AI assistance
  • AI/ML
  • AR
  • augmented reality
  • context-aware system
  • HMD
  • interactions
  • MR
  • smart glasses
  • wearable
  • XR

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