Research on the Development of Emotional Economy Driven by Artificial Intelligence

Mingxuan Hou ()
Additional contact information
Mingxuan Hou: Shandong Experimental High School

A chapter in Proceedings of the 2025 International Conference on Financial Innovation and Marketing Management (FIMM 2025), 2025, pp 1320-1328 from Springer

Abstract: Abstract In the post-pandemic era, social isolation and aging have intensified, triggering explosive growth in global emotional needs and propelling the emotional economy to become a new growth pole. Artificial Intelligence (AI) has entered the emotional economy domain with technologies like emotional recognition and voice interaction, yet it faces significant challenges in deep emotional understanding, privacy protection, and ethical compliance. This paper focuses on the integration path of AI and emotional economy. Through theoretical construction and practical analysis, it identifies scaled markets in industries such as virtual idols, digital companionship, and silver-age emotional services. The study proposes that technological breakthroughs, including optimization of facial micro-expression recognition algorithms and voice emotion modeling—should be combined with national ethical review mechanisms and legal safeguards for user emotional rights to advance human-machine emotional interaction from “recognition” to “symbiosis”. The maturity of brain-computer interface technology is expected to achieve emotional synchronization, ultimately constructing a new economic form centered on emotional resonance and providing dual inspirations for industrial upgrading and social governance.

Keywords: Emotional Economy; Artificial Intelligence; Virtual Idols; Silver-Age Economy; Brain-Computer Interface (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-874-5_149

Ordering information: This item can be ordered from
http://www.springer.com/9789464638745

DOI: 10.2991/978-94-6463-874-5_149

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().