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 language | English |
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Title of host publication | MobileHCI '24 Adjunct Proceedings - Publication of the 26th International Conference on Mobile Human-Computer Interaction |
Editors | Tilman Dingler, Flora Salim, Marion Koelle, Niels van Berkel, Jenny Waycott |
Publisher | Association for Computing Machinery |
ISBN (Print) | 9798400705069 |
DOIs | |
Publication status | Published - Sept 2024 |
Event | 26th International Conference on Mobile Human-Computer Interaction (MobileHCI 2024): Connecting Cultures - Melbourne, Australia Duration: 30 Sept 2024 → 3 Oct 2024 https://mobilehci.acm.org/2024/ |
Publication series
Name | MobileHCI Adjunct Proceedings - Publication of the International Conference on Mobile Human-Computer Interaction |
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Conference
Conference | 26th International Conference on Mobile Human-Computer Interaction (MobileHCI 2024) |
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Abbreviated title | MobileHCI'24 |
Country/Territory | Australia |
City | Melbourne |
Period | 30/09/24 → 3/10/24 |
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