The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
The Human-IoT Ecosystem: An Approach to Functional Situation Context Classification
Abstract
IoT devices offer a cheap and powerful approach to identifying real world states and situations and acting on this real world environment to change these states and the environment. Augmenting real world things with IoT technology enables the capture of real world context to support decision making and actions in the real world via powerful smart objects in a human- IoT ecosystem. Increasingly we will have to understand the Human-IoT or smart device ecosystem interaction in order to optimise and integrate the design of human and IoT systems. This chapter explores the design and categorisation of IoT devices in terms of their functionality and capability to support context to add to human perception. It then proposes how we can model the context information of both IoT devices and humans in a way that may help progress Human-IoT Ecosystem design using situation theory.
Related Content
K. Balaji.
© 2024.
22 pages.
|
Ariq Idris Annaufal, April Lia Dina Mariyana, Muafi Muafi.
© 2024.
10 pages.
|
Dharmbir Prasad, Rudra Pratap Singh, Jatin Anand, Ranadip Roy, Md. Irfan Khan.
© 2024.
28 pages.
|
Aliasan, Kusnadi, Muzaiyanah Muzaiyanah, Abdur Razzaq.
© 2024.
10 pages.
|
Asfand Yar, Mahani Hamdan, Muhammad Anshari.
© 2024.
14 pages.
|
Dharmbir Prasad, Rudra Pratap Singh, Jatin Anand, Ranadip Roy, Md. Irfan Khan.
© 2024.
22 pages.
|
Muafi Muafi, Yoga Religia, Yussi Ramawati.
© 2024.
19 pages.
|
|
|