Paper Number
1772
Abstract
Empathy is an essential component of human communication since it increases our understanding and perception of others. However, studies show that students' empathy skills have declined rapidly in the last decades. Against this background, practitioner reports predict that the importance of empathy will increase as a skill for successful agile teamwork in the future. Therefore, researchers have designed information systems to train empathy abilities of learners in different domains. Nevertheless, research on automated speech-based training is rather scarce. Hence, we aim to investigate how to design a speech-based empathy training system that helps students react emotionally adequately in communication. This research in progress paper presents five initial requirements that guide future research and development of a speech-based empathy training system intended to support students' self-regulated learning. With this, we hope to provide guidance for the design and embedding of speech-based empathy training systems at scale.
Recommended Citation
Weber, Florian; Schween, Sebastian; Wambsganss, Thiemo; and Soellner, Matthias, "A speech-based empathy training system - initial design insights" (2022). ECIS 2022 Research-in-Progress Papers. 44.
https://aisel.aisnet.org/ecis2022_rip/44
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