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A Conceptual Framework Based on Conversational Agents for the Early Detection of Cognitive Impairment

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Proceedings of 2nd International Conference on Artificial Intelligence: Advances and Applications

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

Within the aging society in which we currently live, it is important to provide solutions to the emerging social and health problems. In this work, we propose a conceptual framework for an AI-assisted conversational agent that will be able to provide elderly people a validated early detection of cognitive impairment, implemented with widespread commercial smart speakers. Thereby, we aim to take another step toward achieving the concept of healthy lifestyle.

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Notes

  1. 1.

    https://disruptionhub.com/disruption-trends-9-for-2019/.

  2. 2.

    https://www.valuemarketresearch.com/report/smart-speaker-market.

  3. 3.

    https://store.google.com/product/google_nest_mini.

  4. 4.

    https://www.amazon.com/Echo-Dot/dp/B07FZ8S74R.

  5. 5.

    https://www.todaysgeriatricmedicine.com/news/ex_012511_01.shtml.

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Acknowledgements

This research was partially funded by Ministerio de Ciencia, Innovación y Universidades under the grant reference FPU19/01981 (Formación de Profesorado Universitario). The Article Processing Charge (APC) was funded by the University of Vigo.

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Authors and Affiliations

  1. AtlanTTic, Universidade de Vigo, Escola de Enxeñría de Telecomunicación, Campus Lagoas-Marcosende, Vigo, Spain

    Moisés R. Pacheco-Lorenzo, Sonia Valladares-Rodríguez, Luis Anido-Rifón & Manuel J. Fernández-Iglesias

Authors
  1. Moisés R. Pacheco-Lorenzo
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  2. Sonia Valladares-Rodríguez
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  3. Luis Anido-Rifón
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  4. Manuel J. Fernández-Iglesias
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Corresponding author

Correspondence to Moisés R. Pacheco-Lorenzo .

Editor information

Editors and Affiliations

  1. Poornima College of Engineering, Jaipur, India

    Garima Mathur

  2. Poornima College of Engineering, Jaipur, India

    Mahesh Bundele

  3. Rajasthan Technical University, Kota, Rajasthan, India

    Mahendra Lalwani

  4. Polish Academy of Sciences, Warsaw, Poland

    Marcin Paprzycki

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Pacheco-Lorenzo, M.R., Valladares-Rodríguez, S., Anido-Rifón, L., Fernández-Iglesias, M.J. (2022). A Conceptual Framework Based on Conversational Agents for the Early Detection of Cognitive Impairment. In: Mathur, G., Bundele, M., Lalwani, M., Paprzycki, M. (eds) Proceedings of 2nd International Conference on Artificial Intelligence: Advances and Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-6332-1_65

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