人工智慧視訊面試透明度與科技信任度之研究
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2022
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在後疫情時代，因防疫而減少實體接觸是普遍共識，但在市場劇變之時，企業比以往更渴求人才。該如何透過科技工具來滿足防疫與求才需求，若只為了防疫，視訊面試足以取代實體接觸之需求，但真人面試官能負荷的量能有限，企業如何透過科技工具，在這場人才爭奪戰中取得先機，提升招募效率，人工智慧視訊面試成為越來越多企業的選擇。但對求職者來說，人工智慧視訊面試多採取錄影面試的方式進行，除了缺乏與人的互動，更因對人工智慧評估與決策過程的不確定感，對其的科技信任亦不高，最終降低求職者使用視訊面試的意願。其中，透明度常被認為是人工智慧與現實世界連結的關鍵，當求職者不清楚人工智慧的評估過程時，會擔憂其面試表現是否能正確反映自身真實潛力，進而減少對人工智慧評估的信任度；故當求職者缺乏對人工智慧的信任時，可能會拒絕參與面試或面試表現劣於其真實水平。 本研究分為二個階段，第一階段為前導測試，邀請參與者進行模擬錄影面試，並藉由問卷以及非結構訪談收斂出最具透明度之呈現方式；第二階段正式實驗，邀請 73 位求職者，在進行人工智慧錄影面試後填寫科技信任量表，並進行統計分析。本研究發現具透明度的人工智慧視訊面試對情感科技信任度有正向影響，研究結果亦可提供人工智慧錄影面試系統供應商與雇主，開發與挑選更有效的AI面試介面。
In the Post-COVID-19 pandemic era, it is a consensus to reduce physical contact due to epidemic prevention, but companies are more eager for talent than ever, when the market quickly pursues recovery. How to use technological tools to deal with the needs of epidemic prevention and talent seeking? If it is only for epidemic prevention, video interviews are enough to replace the need for physical contact, but it’s not good enough if companies compete for talents with other companies. Artificial Intelligence (AI) video interviews have become the choice of more and more companies. For job seekers, AI video interviews have no interaction with people, and the uncertainty about the AI interviewers and lack of technological trust in the AI interview could reduce job seekers’ willingness to use. For enterprises, it may miss the entry of key talents. Transparency is often considered to be the key to connecting AI with the real world. When job seekers are unclear about the evaluation process of AI, they are often worried about whether its performance can correctly reflect future job potential, thereby reducing their trust in AI. When job seekers lack trust in AI, they may simply refuse to participate in interviews or their interview performance is worse than their real level. The purpose of this study is to investigate whether AI video interviews with transparency have an impact on trust in AI? Is it possible to increase the transparency of AI-based video interviews, thereby increasing the AI trust of job seekers in the tool? This research will be divided into two stages. The first stage is a pilot test. Participants will be invited to conduct supposed video interviews, and the most effective presentation of transparency will be converged through questionnaires and unstructured interviews. And in the second stage, 60 participants were invited to fill in the technology trust scale after the AI video interview. This study expects that AI video interviews with transparency have a positive impact on AI trust. The results of the study can provide AI video interview system suppliers and employer to develop and choice more effective interface embedded with AI video interview .
In the Post-COVID-19 pandemic era, it is a consensus to reduce physical contact due to epidemic prevention, but companies are more eager for talent than ever, when the market quickly pursues recovery. How to use technological tools to deal with the needs of epidemic prevention and talent seeking? If it is only for epidemic prevention, video interviews are enough to replace the need for physical contact, but it’s not good enough if companies compete for talents with other companies. Artificial Intelligence (AI) video interviews have become the choice of more and more companies. For job seekers, AI video interviews have no interaction with people, and the uncertainty about the AI interviewers and lack of technological trust in the AI interview could reduce job seekers’ willingness to use. For enterprises, it may miss the entry of key talents. Transparency is often considered to be the key to connecting AI with the real world. When job seekers are unclear about the evaluation process of AI, they are often worried about whether its performance can correctly reflect future job potential, thereby reducing their trust in AI. When job seekers lack trust in AI, they may simply refuse to participate in interviews or their interview performance is worse than their real level. The purpose of this study is to investigate whether AI video interviews with transparency have an impact on trust in AI? Is it possible to increase the transparency of AI-based video interviews, thereby increasing the AI trust of job seekers in the tool? This research will be divided into two stages. The first stage is a pilot test. Participants will be invited to conduct supposed video interviews, and the most effective presentation of transparency will be converged through questionnaires and unstructured interviews. And in the second stage, 60 participants were invited to fill in the technology trust scale after the AI video interview. This study expects that AI video interviews with transparency have a positive impact on AI trust. The results of the study can provide AI video interview system suppliers and employer to develop and choice more effective interface embedded with AI video interview .
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人工智慧視訊面試, 透明度, 科技信任度, 人機互動, AI video interview, Transparency, Trust in AI, Human-Computer Interface (HCI)