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A Human-Human Interaction-Driven Framework to Address Societal Issues

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Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 319)


The scientific contribution of this paper is a multilayered Human-Human Interaction driven framework that aims to connect the needs of different sectors of the society to provide a long-term, viable, robust, and implementable solution for addressing multiple societal, economic, and humanitarian issues related to the increasing population of the world. ‘Connecting dots’ here involves issues of three major constituents of the society: the loneliness in the rapidly increasing elderly population, the increasing housing needs of low-income families, and caregiver shortage. The proposed framework would facilitate mutually beneficial, sustainable, equitable, and long-term solutions, based on several factors, to address these global societal challenges. The development of this framework involved integrating the latest advancements from Human-Human Interaction, Big Data, Information Retrieval, and Natural Language Processing. The results presented and discussed uphold the significance, relevance, and potential of this framework for addressing these above-mentioned societal issues associated with the increasing global population.


  • Human-Human Interaction
  • Big Data
  • Information Retrieval
  • Natural Language Processing
  • Elderly population
  • Loneliness
  • Societal issues

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  • DOI: 10.1007/978-3-030-85540-6_71
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Correspondence to Nirmalya Thakur .

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Thakur, N., Han, C.Y. (2022). A Human-Human Interaction-Driven Framework to Address Societal Issues. In: Ahram, T., Taiar, R. (eds) Human Interaction, Emerging Technologies and Future Systems V. IHIET 2021. Lecture Notes in Networks and Systems, vol 319. Springer, Cham.

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