{"title":"面向企业电子学习的对话式人工智能","authors":"Bernhard Göschlberger, Christoph Brandstetter","doi":"10.1145/3366030.3366115","DOIUrl":null,"url":null,"abstract":"Natural language tutors have been an active research topic for decades and the widespread use of chat interfaces lead to a high level of acceptance of chatbots. Despite that, conversational AI has not found its way into the practice of corporate e-learning yet. In this paper we present a novel approach to leverage the advances in the field of conversational AI for corporate e-learning. Following a design science approach, we identify the pivotal stakeholders and design objectives. We propose a service architecture and demonstrate its feasibility with a prototypical implementation. Finally, we conclude that the proposed approach has the potential to lower entry barriers for conversational AI for the practice of corporate e-learning.","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Conversational AI for Corporate e-Learning\",\"authors\":\"Bernhard Göschlberger, Christoph Brandstetter\",\"doi\":\"10.1145/3366030.3366115\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Natural language tutors have been an active research topic for decades and the widespread use of chat interfaces lead to a high level of acceptance of chatbots. Despite that, conversational AI has not found its way into the practice of corporate e-learning yet. In this paper we present a novel approach to leverage the advances in the field of conversational AI for corporate e-learning. Following a design science approach, we identify the pivotal stakeholders and design objectives. We propose a service architecture and demonstrate its feasibility with a prototypical implementation. Finally, we conclude that the proposed approach has the potential to lower entry barriers for conversational AI for the practice of corporate e-learning.\",\"PeriodicalId\":446280,\"journal\":{\"name\":\"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3366030.3366115\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3366030.3366115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Natural language tutors have been an active research topic for decades and the widespread use of chat interfaces lead to a high level of acceptance of chatbots. Despite that, conversational AI has not found its way into the practice of corporate e-learning yet. In this paper we present a novel approach to leverage the advances in the field of conversational AI for corporate e-learning. Following a design science approach, we identify the pivotal stakeholders and design objectives. We propose a service architecture and demonstrate its feasibility with a prototypical implementation. Finally, we conclude that the proposed approach has the potential to lower entry barriers for conversational AI for the practice of corporate e-learning.