Department of Anesthesiology and Critical Care, Duke University School of Medicine, Durham, North Carolina, USA.
BMC Med Educ. 2023 Mar 11;23(1):152. doi: 10.1186/s12909-022-03872-z.
Academic departments universally communicate information about their programs using static websites. In addition to websites, some programs have even ventured out into social media (SM). These bidirectional forms of SM interaction show great promise; even hosting a live Question and Answer (Q&A) session has the potential for program branding. Artificial Intelligence (AI) usage in the form of a chatbot has expanded on websites and in SM. The potential use of chatbots, for the purposes of trainee recruitment, is novel and underutilized. With this pilot study, we aimed to answer the question; can the use of an Artificially Intelligent Chatbot and a Virtual Question-and-Answer Session aid in recruitment in a Post-COVID-19 era?
We held three structured Question-and-Answer Sessions over a period of 2 weeks. This preliminary study was performed after completion of the three Q&A sessions, in March-May, 2021. All 258 applicants to the pain fellowship program were invited via email to participate in the survey after attending one of the Q&A sessions. A 16-item survey assessing participants' perception of the chatbot was administered.
Forty-eight pain fellowship applicants completed the survey, for an average response rate of 18.6%. In all, 35 (73%) of survey respondents had used the website chatbot, and 84% indicated that it had found them the information they were seeking.
We employed an artificially intelligent chatbot on the department website to engage in a bidirectional exchange with users to adapt to changes brought on by the pandemic. SM engagement via chatbot and Q&A sessions can leave a favorable impression and improve the perception of a program.
学术部门普遍使用静态网站来传达有关其项目的信息。除了网站,一些项目甚至已经涉足社交媒体(SM)。这些双向形式的 SM 互动显示出巨大的潜力;即使举办现场问答(Q&A)会议也有可能为项目树立品牌。人工智能(AI)以聊天机器人的形式在网站和 SM 中得到了扩展。聊天机器人在培训生招聘中的潜在用途是新颖且未充分利用的。通过这项试点研究,我们旨在回答以下问题:使用人工智能聊天机器人和虚拟问答会议是否可以在 COVID-19 后时代帮助招聘?
我们在两周的时间内举行了三次结构化问答会议。这项初步研究是在 2021 年 3 月至 5 月完成三次 Q&A 会议后进行的。在参加其中一次 Q&A 会议后,通过电子邮件邀请所有 258 名疼痛研究员课程申请人参加调查。一项评估参与者对聊天机器人看法的 16 项调查。
48 名疼痛研究员课程申请人完成了调查,平均回复率为 18.6%。共有 35 名(73%)调查受访者使用了网站聊天机器人,84%的人表示它找到了他们正在寻找的信息。
我们在部门网站上使用了人工智能聊天机器人,与用户进行双向交流,以适应大流行带来的变化。通过聊天机器人和 Q&A 会议进行 SM 参与可以留下良好的印象并提高对项目的看法。