{"title":"评估领域独立的企业学习聊天机器人的期望和潜力","authors":"Fabian Dopler, Bernhard Göschlberger","doi":"10.1109/ICETA57911.2022.9974903","DOIUrl":null,"url":null,"abstract":"Advancing technological developments in Natural Language Processing have led to a new generation of conversional agents for various application domains. A special challenge in the area of education is to handle the different domains of knowledge in order to enable domain independent learning with chatbots. To enable a future development of such a system, we investigate the different expectations of users and their satisfaction when learning with a chatbot through a Wizard-of-Oz study. Subsequently, we identified and categorized intentions of learners. The study shows high acceptance and willingness to further interact with the system. Technical requirements can be derived from our results to enable a domain-independent chatbot for corporate e-learning in the future.","PeriodicalId":151344,"journal":{"name":"2022 20th International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":"SE-3 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing expectations and potential of domain independent corporate learning chatbots\",\"authors\":\"Fabian Dopler, Bernhard Göschlberger\",\"doi\":\"10.1109/ICETA57911.2022.9974903\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Advancing technological developments in Natural Language Processing have led to a new generation of conversional agents for various application domains. A special challenge in the area of education is to handle the different domains of knowledge in order to enable domain independent learning with chatbots. To enable a future development of such a system, we investigate the different expectations of users and their satisfaction when learning with a chatbot through a Wizard-of-Oz study. Subsequently, we identified and categorized intentions of learners. The study shows high acceptance and willingness to further interact with the system. Technical requirements can be derived from our results to enable a domain-independent chatbot for corporate e-learning in the future.\",\"PeriodicalId\":151344,\"journal\":{\"name\":\"2022 20th International Conference on Emerging eLearning Technologies and Applications (ICETA)\",\"volume\":\"SE-3 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 20th International Conference on Emerging eLearning Technologies and Applications (ICETA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETA57911.2022.9974903\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 20th International Conference on Emerging eLearning Technologies and Applications (ICETA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETA57911.2022.9974903","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Assessing expectations and potential of domain independent corporate learning chatbots
Advancing technological developments in Natural Language Processing have led to a new generation of conversional agents for various application domains. A special challenge in the area of education is to handle the different domains of knowledge in order to enable domain independent learning with chatbots. To enable a future development of such a system, we investigate the different expectations of users and their satisfaction when learning with a chatbot through a Wizard-of-Oz study. Subsequently, we identified and categorized intentions of learners. The study shows high acceptance and willingness to further interact with the system. Technical requirements can be derived from our results to enable a domain-independent chatbot for corporate e-learning in the future.