AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2024
Janaka, N.
Towards Intelligent Wearable Assistants Proceedings Article
In: UbiComp Companion - Companion ACM Int. Jt. Conf. Pervasive Ubiquitous Comput., pp. 618–621, Association for Computing Machinery, Inc, 2024, ISBN: 979-840071058-2 (ISBN).
Abstract | Links | BibTeX | Tags: AI assistance, Augmented Reality, context-aware system, Context-aware systems, HMD, Interaction, interactions, Interruption, interruptions, MR, Notification, notifications, Smart glass, smart glasses, wearable, Wearable assistant, Wearable computers, XR
@inproceedings{janaka_towards_2024,
title = {Towards Intelligent Wearable Assistants},
author = {N. Janaka},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206157248&doi=10.1145%2f3675094.3678989&partnerID=40&md5=539933fdbb3b5289b179cbe9e8f7c083},
doi = {10.1145/3675094.3678989},
isbn = {979-840071058-2 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {UbiComp Companion - Companion ACM Int. Jt. Conf. Pervasive Ubiquitous Comput.},
pages = {618–621},
publisher = {Association for Computing Machinery, Inc},
abstract = {This summary outlines my research toward developing intelligent wearable assistants that provide personalized, context-aware computing assistance. Previous work explored information presentation using smart glasses, socially-aware interactions, and applications for learning, communication, and documentation. Current research aims to develop tools for interaction research, including data collection, multimodal evaluation metrics, and a platform for creating context-aware AI assistants. Future goals include extending assistants to physical spaces via telepresence, optimizing learning with generative AI, and investigating collaborative human-AI learning. Ultimately, this research seeks to redefine how humans receive seamless support through proactive, intelligent wearable assistants that comprehend users and environments, augmenting capabilities while reducing reliance on manual labor. © 2024 Copyright held by the owner/author(s).},
keywords = {AI assistance, Augmented Reality, context-aware system, Context-aware systems, HMD, Interaction, interactions, Interruption, interruptions, MR, Notification, notifications, Smart glass, smart glasses, wearable, Wearable assistant, Wearable computers, XR},
pubstate = {published},
tppubtype = {inproceedings}
}
This summary outlines my research toward developing intelligent wearable assistants that provide personalized, context-aware computing assistance. Previous work explored information presentation using smart glasses, socially-aware interactions, and applications for learning, communication, and documentation. Current research aims to develop tools for interaction research, including data collection, multimodal evaluation metrics, and a platform for creating context-aware AI assistants. Future goals include extending assistants to physical spaces via telepresence, optimizing learning with generative AI, and investigating collaborative human-AI learning. Ultimately, this research seeks to redefine how humans receive seamless support through proactive, intelligent wearable assistants that comprehend users and environments, augmenting capabilities while reducing reliance on manual labor. © 2024 Copyright held by the owner/author(s).