Listening AI Chatbots: A Historical Analysis and Vision for the Future

Neha Dutta () and Bhavana ()
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Neha Dutta: Chandigarh University, CSE Department
Bhavana: MMDU, CSE Department

A chapter in Proceedings of the 8th International Conference on Corporate Social Responsibility and Sustainable Development, 2026, pp 723-736 from Springer

Abstract: Abstract The introduction of Listener AI chatbots is a significant development in conversational artificial intelligence. They understand the context, listen actively to the user, and interact with the user in an interactive, human-like manner. Listener AI chatbots are thoroughly analyzed in this research study, including their historical development, historical trends, and profound effects on everyday activities. This study analyzes the changes that these unique qualities have brought about in customer service, healthcare, education, and marketing. Among the benefits of these transformations are improved user experiences, improved learning, and improved mental health. A potential application of Listener AI chatbots is explored in this research paper, taking into account the difficulties and ethical concerns that may arise as these technologies advance. These chatbots have a wider range of uses, such as improved emotion detection and incorporation into many sectors and fields. In addition, the study considers their usefulness and replaceability in the dynamic field of conversational AI. Chatbots with listener AI have the potential to change how we use technology and engage with services completely. An era of AI-driven interactions is being brought in by their capacity to actively listen and reply in a personalized way. The future of human-computer communication will be shaped by the opportunities and problems this technology brings as it develops.

Keywords: Listener AI chatbots; Conversational AI; Natural Language Processing; User Experience; Personalization; Emotional Intelligence; Customer service; Healthcare applications; Education applications; Marketing and sales; Human-like interactions; Mental health support; AI technology; User engagement; Data privacy; Future prospects (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-981-95-4017-4_45

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