The purpose of this study is to develop a chatbot for Korean language education using Google Dialogflow, aiming to determine its effectiveness as a learning tool and to investigate learners’ perceptions of prototype chatbots. Six Korean language education chatbots were developed for beginner Korean language learners, and 30 beginner learners—15 from Mongolia studying in Korea and 15 from Japan studying abroad—were recruited. These learners practiced Korean conversation with the chatbots for about three weeks, and pre- and post-surveys were conducted. Analysis showed that using the chatbots for conversation practice positively impacted learners’ confidence. However, the chatbots’ overall effectiveness fell short of expectations, as significant results were observed only in confidence among the three investigated areas: interest, confidence, and motivation. Learners were generally satisfied with the chatbots, although Japanese learners rated its effectiveness in improving expressions and comprehension skills low, suggesting a need for further analysis. Both groups found voice chatbots more beneficial, underscoring a significant need for individual speaking practice, especially among Japanese learners. Despite limitations such as the inability to engage in flexible conversations, the study demonstrates the potential of chatbots developed as a learning tool and identifies learners’ perceptions from various perspectives.

The purpose of this study was to investigate how the English speaking ability of Korean EFL college students was affected by their interactions with Talk-to-ChatGPT while taking an ‘English Interview’ class. Thirty pieces of English conversation scripts with thirty chatbot conversations created by five students were collected for analysis. Two online text analysis programs, Quillbot including word counter and grammar checker and T.E.R.A.(Text Ease and Readability Assessor), were used for data analysis. The findings of data analysis revealed that 1) The average length of the sentences and words spoken by the participants has increased through English speaking practice using Talk-to-ChatGPT, and 2) There was no significant change in text ease and readability, and coherence of students’ utterances through English speaking practice using a chatbot while there were differences depending on their English proficiency levels. 3) Students A, B, and D, who had relatively low levels of English proficiency, showed a slight increase in syntactic accuracy and semantic clarity in their English interview practice. Based on the study findings, pedagogical implications for the effective use of AI-based apps or programs in English speaking classes were presented.

Due to the aging of a building, 38.8% (about 2.82 million buildings) of the total buildings are old for more than 30 years after completion and are located in a blind spot for an inspection, except for buildings subject to regular legal inspection (about 3%). Such existing buildings require users to self-inspect themselves and make efforts to take preemptive risks. The scope of this study was defined as the general public's visual self-inspection of buildings and was limited to structural members that affect the structural stability of old buildings. This study categorized possible damage to reinforced concrete to check the structural safety of buildings and proposed a checklist to prevent the damage. A damage assessment methodology was presented during the inspection, and a self-inspection scenario was tested through a chatbot connection. It is believed that it can increase the accessibility and convenience of non-experts and induce equalized results when performing inspections, according to the chatbot guide.

Chatbot-based services in online travel agency (OTA) are rapidly spreading in order to respond more agilely to consumers' needs based on the digitalization of the travel industry. Although AI chatbots use anthropomorphism to provide social experiences on behalf of humans, research results on its effects are mixed. Therefore, based on construal level theory, this study suggests the degree of anthropomorphism (low vs. high) of chatbots prime mental representations of different construal levels (low vs. high) and the fit between anthropomorphism and communication context (communication types and conversation types) has a positive effect on use behavior. This research method consisted of sentimental analysis for exploring use behavior of AI chatbots and two experimental studies (study 1 and study 2) to examine the hypotheses. The results of this study expand construal level theory and avatar research to provide an understanding of the anthropomorphism of AI chatbots.

Emojis have become an important element in human-chatbot interaction to communicate emotion. In addition to facilitating emotional communication, emojis are able to engage consumers, enhance relationship strength and influence consumer behavioural intention. Therefore, it is crucial to understand how the use of emojis affects customer-chatbot rapport and purchase intention in the consumption context.

인터넷은 전통적인 미디어를 대체하고 주요 뉴스 미디어 플랫폼 중 하나가 되었습니다. 인터넷 소스의 뉴스는 접근성이 좋고 편리하기 때문에 기존 뉴스 소스에 비해 빠르고 간단하게 이동할 수 있습니다. 그러나 가짜 뉴 스가 대량으로 발생하고 정치적, 상업적 이유로 온라인 커뮤니티에 퍼지면서 확인되지 않은 소식통으로부터 입수한 모든 언론 보도가 진짜인 것은 아니다. 가짜 뉴스는 이론적으로나 의도적으로 독자들을 속이거나 잘못 알릴 수 있다. 왜냐하면 사람들은 오프라인 커뮤니티에 영향을 미칠 수 있는 어떤 정보에도 쉽게 얽히게 되기 때문이다. 일부 수동 웹사이트는 정보가 사실인지 확인하도록 설계되어 있지만 온라인, 특히 웹에서 빠르게 확 산되는 정보의 양은 확장되지 않습니다. 이 문제를 해결하기 위해 자동 팩트체크 어플리케이션은 확장성과 자 동화의 요건에 대응하도록 설계되었습니다. 그러나 현재 애플리케이션 방법에는 기계 학습 분류 모델 성능을 개선하기 위해 가짜 뉴스 특징을 식별하는 포괄적인 다차원 데이터 세트가 없다. 이 문제를 해결하기 위해 본 연구논문에서는 사용자가 기사의 제목을 입력하면 데이터를 분류하는 Formb 챗봇을 제안했다. 이 연구 작업 에서 데이터 집합의 분류는 반복 신경망(RNN)과 장기 단기 기억(LSTM) 모델을 사용하여 수행되었다. 가짜 및 실제 뉴스 데이터 세트는 사전 처리되어 모델을 교육하는 데 사용됩니다. 저장된 모델은 지정된 입력 텍스트 의 신뢰성을 확인하기 위해 불일치 서버에 배포됩니다. Disconsid API는 python 파일을 chatbot으로 실행할 수 있는 액세스를 제공합니다. 분석 측면에서, 제안된 모델은 96.77%의 정확도로 CNN와 같은 기존 뉴럴 네트 워크 모델을 능가한다.

본 연구는 챗봇을 활용한 중국어 교육용 프로그램 개발의 기초 자료를 제공하기 위해 외국어 교육에서 활용 가능한 인공지능 기술에 대해 알아보고, 최근 급속도로 발달하고 있는 외국어 교육용 챗봇의 발달 현황과 교육현장에서의 활용 사례를 살펴 보았다. 이를 통해 메신저 인터페이스를 활용한 챗봇 서비스를 국내 중국어 교육에 도입하여, 국내의 중국어 학습용 챗봇 설계방안을 마련하고, 또 이를 활용하는 관련 교육 프로그램과 중국어 교육현장에서 적용 가능한 교수-학습 방안을 제안하여 향후 중국어 교육 분야에서의 챗봇 활용 수업에 대한 가능성을 살펴보았다.