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TOM: A Development Platform For Wearable Intelligent Assistants

Published: 05 October 2024 Publication History

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, supports the recording and analysis of user interactions, and provides assistance for various activities, as demonstrated in our preliminary evaluations.

Supplemental Material

MP4 File - Video figure
UbiComp2024. Video showing the TOM system platform.

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Cited By

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  • (2024)PilotAR: Streamlining Pilot Studies with OHMDs from Concept to InsightProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785768:3(1-35)Online publication date: 9-Sep-2024
  • (2024)Towards Intelligent Wearable AssistantsCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678989(618-621)Online publication date: 5-Oct-2024
  • (2024)Interpretable, Inclusive, and Immersive Interaction for Ubiquitous AI-infused Physical SystemsCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3677569(984-987)Online publication date: 5-Oct-2024
  • Show More Cited By

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Published In

cover image ACM Conferences
UbiComp '24: Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing
October 2024
1032 pages
ISBN:9798400710582
DOI:10.1145/3675094
This work is licensed under a Creative Commons Attribution International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 October 2024

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Author Tags

  1. ai assistance
  2. ai/ml
  3. ar
  4. augmented reality
  5. context-aware system
  6. hmd
  7. interactions
  8. mr
  9. smart glasses
  10. wearable
  11. xr

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  • Research-article

Funding Sources

  • National Research Foundation, Singapore
  • CityU Start-up Grant

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UbiComp '24

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

View all
  • (2024)PilotAR: Streamlining Pilot Studies with OHMDs from Concept to InsightProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785768:3(1-35)Online publication date: 9-Sep-2024
  • (2024)Towards Intelligent Wearable AssistantsCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678989(618-621)Online publication date: 5-Oct-2024
  • (2024)Interpretable, Inclusive, and Immersive Interaction for Ubiquitous AI-infused Physical SystemsCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3677569(984-987)Online publication date: 5-Oct-2024
  • (2024)Demonstrating TOM: A Development Platform For Wearable Intelligent AssistantsCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3677551(214-219)Online publication date: 5-Oct-2024
  • (2024)Demonstrating TOM: A Development Platform for Wearable Intelligent Assistants in Daily ActivitiesAdjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction10.1145/3640471.3680445(1-6)Online publication date: 21-Sep-2024

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