Academic Smart Chatbot to Support Emerging Artificial Intelligence Conversation
参考中译:学术智能聊天机器人支持新兴的人工智能对话


     

文集名：3rd International Conference of Science and Information Technology in Smart Administration (ICSINTESA 2022)
作者：Richki Hardi（Department of informatics Universitas Mulia）
Vicente A Pitogo（Caraga State University & De La Salle University, Philippines）
Ahmad Nairn Che Pee（Faculty of Information and Communication Technology (FTMK) Universiti Telmikal Malaysia Melaka）
Agung Sakti Pribadi（Department of Law Universitas Mulia）
Muhammad Haziq Lim Bin Abdullah（Faculty of Information and Communication Technology (FTMK) Universiti Teknikal Malaysia Melaka）
Jack Febrian Rusdi（Department of Informatics Sekolah Tinggi Teknologi Bandung）
会议名：3rd International Conference of Science and Information Technology in Smart Administration (ICSINTESA 2022)
会议日期：10-12 November 2022
会议地点：Denpasar, Bali, Indonesia
出版年：2022
页码：194-199
总页数：6
馆藏号：347586
分类号：TP3-53/I59/(3rd)
关键词：Chatbot reliability；Academic services；Artificial intelligence chatbot；Technology influence；Artificial intelligence conversation
参考中译：聊天机器人可靠性；学术服务；人工智能聊天机器人；技术影响；人工智能对话
语种：eng
文摘：The increasing workload and the number of academic information needs in the campus environment make the academic part of the stress. The addition of students and plans for additional study programs that will continue to be carried out by universities make academic staff tired and slow to work because they cannot provide fast and appropriate services to students and the academic community. Artificial Intelligence (AI) based chatbot technology is present to help perform specific tasks similar to academic officers. With the K-Nearest Neighbor (K-NN) method, the highest K value in the third class is 55.70 percent. This value explains that problems related to text classification can be solved on K-NN and give good results. In this evaluation, customer response times were significantly shorter when using chatbot technology compared to response times before using them. In addition, the work done by academic staff began to decrease, while the accuracy of chatbots remained at 100 percent in tests that compared chatbots with academic staff. Therefore, the evaluation results show that chatbots effectively increase efficiency in handling customer inquiries. There were 62 respondents consisting of 13.8 percent of lecturers, 9.2 percent of staff, and 76.9 percent of students who implemented chatbots. Testing of chatbot technology includes ability, consistency, responsibility, and performance. The validity test uses a significance level of 5 percent. The test results found that the level of influence of the use of chatbot technology by users in obtaining academic information was more reliable, with the acquisition of the Cronbach Alpha value of 0.82. A solution offered for the academic community and the academic community to access services more quickly and practically by using a chatbot. Chatbots can also reduce the workload of academic staff and affect the quality of service in universities to be more optimal.
参考中译：校园环境中不断增加的工作量和越来越多的学术信息需求使学术成为压力的一部分。学生的增加和大学将继续开展的额外学习项目的计划使学术人员感到疲惫和工作缓慢，因为他们无法为学生和学术界提供快速和适当的服务。基于人工智能(AI)的聊天机器人技术被用来帮助执行类似于学术官员的特定任务。用K-近邻(K-NN)方法，第三类的K值最高为55.70%。该值说明可以在K-NN上解决与文本分类相关的问题，并给出较好的结果。在这项评估中，与使用Chatbot技术之前的响应时间相比，使用Chatbot技术的客户响应时间显著缩短。此外，学术人员所做的工作开始减少，而在将聊天机器人与学术人员进行比较的测试中，聊天机器人的准确率保持在100%。因此，评估结果表明，聊天机器人有效地提高了处理客户查询的效率。62名受访者中，13.8%的讲师、9.2%的工作人员和76.9%的学生使用了聊天机器人。对聊天机器人技术的测试包括能力、一致性、责任感和性能。有效性测试使用5%的显著性水平。测试结果发现，用户使用聊天机器人技术获取学术信息的影响程度更可靠，获得的Cronbach Alpha值为0.82。通过使用聊天机器人，为学术界和学术界提供了一种更快、更实用地访问服务的解决方案。聊天机器人还可以减轻教职员工的工作量，影响大学的服务质量更加优化。

注：参考中译为机器自动翻译，仅供参考。



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