IoT-Enabled Social Relationships Meet Artificial Social Intelligence

By Sahraoui Dhelim, Huansheng Ning, Fadi Farha, L. Chen, Luigi Atzori, Mahmoud Daneshmand. 2021

79 citations recorded by the source corpus.

With the recent advances of the Internet of Things (IoT), and the increasing accessibility to ubiquitous computing resources and mobile devices, the prevalence of rich media contents, and the ensuing social, economic, and cultural changes, computing technology and applications have evolved quickly over the past decade. They now go beyond personal computing, facilitating collaboration and social interactions in general, causing a quick proliferation of social relationships among IoT entities. The increasing number of these relationships and their heterogeneous social features have led to computing and communication bottlenecks that prevent the IoT network from taking advantage of these relationships to improve the offered services and customize the delivered content, known as social relationships explosion. On the other hand, the quick advances in artificial intelligence applications in social computing have led to the emerging of a promising research field known as artificial social intelligence (ASI) that has the potential to tackle the social relationships explosion problem. This article discusses the role of IoT in social relationships management, the problem of social relationships explosion in IoT, and reviews the proposed solutions using ASI, including social-oriented machine-learning and deep-learning techniques.

Subfields: Computer Networks and Communications, Information Systems, Social Psychology, AI Ethics, Fairness & Society, Human-Computer Interaction

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Yejin Choi

In Information Systems

1. Yejin Choi
2. Maarten Sap
3. Ronan Le Bras
4. Daniel Fried

In Social Psychology

1. Yejin Choi
2. Maarten Sap
3. Michal Kosinski

In AI Ethics, Fairness & Society

1. Yejin Choi
2. Maarten Sap

In Human-Computer Interaction

1. Yejin Choi
2. Maarten Sap

Citations in the corpus

• Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs (2022, methodology): “These reasoning abilities are becoming increasingly necessary as AI assistants are used in situations that require social intelligence and Theory of Mind in order to operate effectively (Wang et al., 2007; Dhelim et al., 2021; Langley et al., 2022).”