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首页> 外文会议>IEEE International Conference on Robot and Human Interactive Communication >Interviewing Style for a Social Robot Engaging Museum Visitors for a Marketing Research Interview
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Interviewing Style for a Social Robot Engaging Museum Visitors for a Marketing Research Interview

机译：社会机器人的采访方式吸引博物馆参观者进行市场调研

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We design and evaluate a robot interviewer for collecting visitor data in a museum for marketing purposes. We take inspiration from research on face-to-face human intercept interviews. We develop a personal interviewing style that is expected to motivate participants to answer more questions and compare this with a more formal style. We also evaluate whether a greeting ritual performed by the robot increases participation and whether taking a picture with the robot is an effective incentive for visitors to participate in an interview.Our study is conducted "in the wild" and we analyse sessions with the robot and passersby in a museum. The independent variables were interviewing style and whether an incentive was offered or not. The dependent variables were participation and continuation rate, and museum ratings. Contrary to expectations, we find that the participation rate is lower when the robot provides an incentive. Although we find that a personal style is perceived as more social, it does not influence the continuation rate. Museum ratings were also not affected by style. Our style manipulation may not have been strong enough to produce these effects.Our study shows that social robots have a high potential for conducting intercept interviews. Willingness to participate in a robot interview is high, while this is one of the main challenges with intercept interviews. To improve data collection, people detection and speech recognition skills could be improved.
机译：我们设计并评估了一个机器人采访员，用于在博物馆中收集游客数据以进行营销。我们从面对面的人类拦截访谈研究中汲取了灵感。我们开发了一种个人面试风格，有望激发参与者回答更多问题，并将其与更正式的风格进行比较。我们还评估了由机器人执行的问候仪式是否能增加参与度，以及与机器人合影是否能有效地吸引访问者参加采访。我们的研究是在“野外”进行的，我们分析了与机器人进行的会谈和博物馆里的路人。自变量是访谈方式以及是否提供激励。因变量是参与率和续展率以及博物馆评级。与期望相反，我们发现，当机器人提供激励时，参与率会降低。尽管我们发现个人风格被认为更具社交性，但它不会影响续写率。博物馆的评级也不受风格的影响。我们的风格操纵可能不足以产生这些效果。我们的研究表明，社交机器人具有进行拦截采访的巨大潜力。参加机器人访谈的意愿很高，但这是拦截访谈的主要挑战之一。为了改善数据收集，可以提高人们的检测和语音识别能力。

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