Adoption of AI Chatbots by Users: A Systematic Literature Review on User Experience and Human Factors

Adoption of AI Chatbots by Users: A Systematic Literature Review on User Experience and Human Factors This repository contains xlsx sheets showing how the SLR process was conducted during our research process that resulted in the article "Adoption of AI Chatbots by Users: A Systematic Literature Review on User Experience and Human Factors" File content: Inside of the folder provided, we have ten files containing different contents: Criteria & RQs : This file contains a table recording the inclusion and exclusion criteria and the RQs used during the research. ACM_IEEE_selection : This file contains a table with the DOI of every article found using the search string in the ACM and IEEE digital libraries and whether it was selected by title and/or abstract for screening. Springer_selection : This file contains a table with the DOI of every article found using the search string in the Springer digital librarie and whether it was selected by title and/or abstract for screening. RQL : This file contains a table with all RQs answered by one of the researchers (Lívia Lutz) using the filtered articles from ACM and IEEE digital libraries. RQB : This file contains a table with all RQs answered by one of the researchers (Breno Lois Matos) using the filtered articles from Springer digital library. RQ_total : This file contains a table with all combined RQs answered by the pair of researchers who conducted the screening process (Lívia Lutz and Breno Lois Matos) RQ3.1 : This file contains a table with the articles IDs, the kind of study (journal or conference), how each one answered RQ3.1 and the number of participants each study had. Graphs : This file contains images of graphs used to illustrate data in the article Count : This file contains a table with the name of every journal/conference we found relevant articles from and the number of articles analysed from each. This paper matches the latest version of the dataset. Following the steps corresponded to the stated order of the files above, it is possible to reproduce the selection process for another research.《用户对AI聊天机器人的采用：关于用户体验与人为因素的系统文献综述》 本数据集仓库包含若干XLSX格式表格，完整记录了本研究开展系统文献综述（Systematic Literature Review，下文简称SLR）的流程细节，相关研究最终形成了题为《用户对AI聊天机器人的采用：关于用户体验与人为因素的系统文献综述》的学术论文。 文件内容： 本数据集文件夹中共包含内容各异的10个文件： Criteria & RQs：本文件包含一张表格，记录了本研究阶段采用的纳入排除标准与研究问题（Research Questions，下文简称RQs）。 ACM_IEEE_selection：本文件包含一张表格，收录了通过检索式在ACM与IEEE数字图书馆中检索到的所有文献的DOI，并标注了是否通过标题和/或摘要完成初筛。 Springer_selection：本文件包含一张表格，收录了通过检索式在Springer数字图书馆中检索到的所有文献的DOI，并标注了是否通过标题和/或摘要完成初筛。 RQL：本文件包含一张表格，收录了研究人员莉维娅·卢茨（Lívia Lutz）利用ACM与IEEE数字图书馆的筛选后文献所回答的全部研究问题。 RQB：本文件包含一张表格，收录了研究人员布雷诺·洛伊斯·马托斯（Breno Lois Matos）利用Springer数字图书馆的筛选后文献所回答的全部研究问题。 RQ_total：本文件包含一张表格，收录了由两位参与文献筛选流程的研究人员（莉维娅·卢茨与布雷诺·洛伊斯·马托斯）共同回答的全部合并研究问题。 RQ3.1：本文件包含一张表格，收录了各文献的ID、研究类型（期刊论文或会议论文）、各研究对RQ3.1的回答情况，以及每项研究的参与者数量。 Graphs：本文件包含用于在论文中阐释数据的各类图表图像。 Count：本文件包含一张表格，收录了本研究筛选出相关文献的所有期刊/会议名称，以及从每类来源中分析得到的文献数量。 本数据集与该论文的最新版本完全匹配。按照上述文件所列的对应步骤顺序执行，即可复现该研究的文献筛选流程，以供其他学术研究使用。