The Emergence of IoT 3.0: From IoT, AIoT to MIoT

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Authors: Yan Liu, Bin Guo, Yuyang Fang, Haoyu Li, Zhiwen Yu
Cited by: 1

Abstract

The fusion of Artificial Intelligence (AI) and the Internet of Things (IoT) has given rise to Artificial Intelligence of Things (AIoT), empowering connected devices with autonomous decision-making capabilities by learning from a large amount of data. However, current AIoT systems are limited by the absence of human-like social intelligence, restricting their capacity to understand and infer complex human behaviors, emotions and intention. To address this gap, this article introducesMental Intelligence of Things (MIoT), a novel paradigm that extends AIoT by incorporatingTheory of Mind (ToM)to endow IoT devices withcognitive reasoning, empathetic awareness, and socially interaction capabilities. Specifically, by characterizing of MIoT, we propose a generic framework of MIoT. Furthermore, we delve into the pivotal research challenges and key techniques of MIoT. Finally, we present our latest efforts in MIoT, offering empirical evidence of its feasibility and potential to achieve enhanced human–machine symbiosis.

Fields of Study & Subjects

Emotion and Mood Recognition Psychiatry Mental Health Neuroscience Embodied and Extended Cognition

Publication details

Journal / source
IEEE Internet of Things Magazine
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
9
Issue
4
Pages
96–105
Publication date
12 January 2026