Leveraging the Internet of Behaviors for Mutual Trust in Digital Ecosystems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F25%3A00140571" target="_blank" >RIV/00216224:14330/25:00140571 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/3708557.3716344" target="_blank" >http://dx.doi.org/10.1145/3708557.3716344</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3708557.3716344" target="_blank" >10.1145/3708557.3716344</a>
Alternative languages
Result language
angličtina
Original language name
Leveraging the Internet of Behaviors for Mutual Trust in Digital Ecosystems
Original language description
We are witnessing a new digital transformation aiming to upskill IoT (Internet of Things) entities using AI (Artificial Intelligence). This transformation requires a focus on sociocultural acceptance of IoT technologies. However, it also requires preparing our society for this imminent era of fully autonomous things to ensure mutual trust between humans and things. Within this regard, this paper proposes the first version of a trust framework based on the Internet of Behaviors (IoB), aiming to consider human-in-the-loop and moderate the increasing complexity of IoT ecosystems. It introduces mainly the role of IoB in reshaping the trustworthiness assessment to build mutual trust between humans and things, aiding the seamless integration of autonomous IoT technologies in our society.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Companion Proceedings of the 30th International Conference on Intelligent User Interfaces (IUI ’25 Companion)
ISBN
9798400714092
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
82-86
Publisher name
ACM
Place of publication
New York, NY, United States
Event location
Cagliari, Italy
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001477116100020