AHCI RESEARCH GROUP

Publications

Papers published in international journals,
proceedings of conferences, workshops and books.

OUR RESEARCH

Scientific Publications

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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

2023

Gura, K.; Alakoum, A.; Melenciuc, M.; Henley, S.

Mobile Biometric and Sentiment Data, Generative Artificial Intelligence and Behavior Tracking Tools, and Wearable Sensor-based and Connected Monitoring Devices in Immersive Interconnected 3D Worlds Journal Article

In: Analysis and Metaphysics, vol. 22, pp. 255–273, 2023, ISSN: 15848574 (ISSN).

Abstract | Links | BibTeX | Tags: behavior tracking tool, connected monitoring devices, generative artificial intelligence, Immersive, mobile biometric and sentiment data, sensor, wearable

@article{gura_mobile_2023,

title = {Mobile Biometric and Sentiment Data, Generative Artificial Intelligence and Behavior Tracking Tools, and Wearable Sensor-based and Connected Monitoring Devices in Immersive Interconnected 3D Worlds},

author = {K. Gura and A. Alakoum and M. Melenciuc and S. Henley},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183910376&doi=10.22381%2fam22202314&partnerID=40&md5=59314c3c823f2924afc4469f7fc1811b},

doi = {10.22381/am22202314},

issn = {15848574 (ISSN)},

year  = {2023},

date = {2023-01-01},

journal = {Analysis and Metaphysics},

volume = {22},

pages = {255–273},

abstract = {Despite the relevance of generative artificial intelligence and virtual reality immersive training tools shaping virtual employee engagement, productivity improvements, and long-term talent pipelines, only limited research has been conducted on this topic. The contribution to the literature is by showing that Web3 technology-based immersive remote work experiences can be achieved by use of generative artificial intelligence and mobile analytics algorithms, text mining and analytics, and body-tracking data metrics. Throughout July 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “generative artificial intelligence and behavior tracking tools” + “mobile biometric and sentiment data,” “wearable sensorbased and connected monitoring devices,” and “immersive interconnected 3D worlds.” As research published in 2023 was inspected, only 167 articles satisfied the eligibility criteria, and 51 mainly empirical sources were selected. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Dedoose, Distiller SR, and MMAT. © 2023, Addleton Academic Publishers. All rights reserved.},

keywords = {behavior tracking tool, connected monitoring devices, generative artificial intelligence, Immersive, mobile biometric and sentiment data, sensor, wearable},

pubstate = {published},

tppubtype = {article}

}