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.
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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
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