Abstract
This paper is focusing on the Potentials of Emotionally Sensitive Applications Using Machine Learning. Artificial intelligence is a topic that has become increasingly relevant in recent years. Especially virtual assistants such as Alexa, Siri, and the Google Assistant have brought the topic to the public eye. The aim of this paper is to determine the emerging potential of artificial intelligence, especially in the area of emotionally sensitive applications. To determine these potentials, a literature review was carried out and ten experts in relevant fields were interviewed in semi-structured interviews. Based on a Grounded Theory approach, six influencing factors have been identified. As an additional result, possible areas of application for emotionally sensitive artificial intelligence could be identified. These were mainly areas with a high level of customer contact. But also areas such as personnel management and personnel coaching can benefit from emotionally sensitive AI.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chui, M., Manyika, J., Henke, N., Chung, R., Nel, P., Malhotra, S.: Notes from the AI frontier: insight from hundreds of use cases (2018)
Ivanov, S.H., Webster, C.: Adoption of robots, artificial intelligence and service automation by travel, tourism and hospitality companies—a cost-benefit analysis. In: Artificial Intelligence and Service Automation by Travel, Tourism and Hospitality Companies–A Cost-Benefit Analysis (2017)
Business Insider, 80% of businesses want chatbots by 2020. https://www.businessinsider.de/80-of-businesses-want-chatbots-by-2020-2016-12?r=US&IR=T. Accessed 20 Mar 2019
Calvo, R., D’Mello, S.: Affect detection: an interdisciplinary review of models, methods, and their applications. Trans. Affect. Comput. 1, 18–37 (2010)
Wolfangel, E.: Die Seele auf der Zunge. Die Zeit, pp. 27–28 (2008)
Picard, R.W.: Affective Computing. MIT press (2000)
Holt, S., Jones, S.: Emotional intelligence and organizational performance: implications for performance consultants and educators. Perform. Improv. 44(10), 15–21 (2005)
Glaser, B., Strauss, A.: The Discovery of Grounded Theory: Strategies for Qualitative Research. Routledge, London and New York (2017)
Strauss, A., Corbin, J.: Grounded Theory Methodology—An overview. Published in Handbook of qualitative research von Denzin, N. und Lincoln, Y., Thousand Oaks (1994)
Thomson, S.B.: Sample size and grounded theory. JOAAG 5(1), 45–52 (2011)
Stadler, E., Mündliche Befragung, published in “Empirisches wissenschaftliches Arbeiten: Ein Studienbuch für die Bildungswissenschaften” von J. Aeppli u.a., published by utb GmbH (2014)
Grounded Theory Institut. http://www.groundedtheory.com/what-is-gt.aspx. Accessed 8 Feb 2019
Strauss, A., Corbin, J.: Basics of Qualitative Research: Procedures and Techniques for Developing Grounded Theory. Published by Thousand Oaks. Sage, CA (1998)
Wirtschaftskammer Österreich, Digitalisierung der Wirtschaft. Bedeutung, Chancen und Herausforderungen, Stabsabteilung Wirtschaftspolitik, Wien (2016)
Chung, T.S., Wedel, M., Rust, R.T.: Adaptive personalization using social networks. J. Acad. Mark. Sci. 44(1) (2016)
Eschweiler, J., Tiefemann, M., Möller, T., Rameseder, S., Hechler, E.: Lernen aus Daten. Digitale Welt 3(1) (2019)
Chung, K., Park, R.: Chatbot-based healthcare service with a knowledge base for cloud computing. Clust. Comput. 22 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendix
Appendix
See Table 2.
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Härting, RC., Schmidt, S., Krum, D. (2021). Potentials of Emotionally Sensitive Applications Using Machine Learning. In: Zimmermann, A., Howlett, R., Jain, L. (eds) Human Centred Intelligent Systems. Smart Innovation, Systems and Technologies, vol 189. Springer, Singapore. https://doi.org/10.1007/978-981-15-5784-2_17
Download citation
DOI: https://doi.org/10.1007/978-981-15-5784-2_17
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-5783-5
Online ISBN: 978-981-15-5784-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)