Sakamoto Yuki, Uchida Takahisa, Ban Midori, Ishiguro Hiroshi
Graduate School of Engineering Science, Osaka University, Osaka, Japan.
Front Robot AI. 2025 Apr 16;12:1521169. doi: 10.3389/frobt.2025.1521169. eCollection 2025.
The usefulness of conversational robots has been demonstrated in various fields. It is suggested that expressing subjective opinions is essential for conversational robots to stimulate users' willingness to engage in conversation. However, a challenge remains in that users often find it difficult to attribute subjective opinions to robots. Therefore, this study aimed to examine the factors influencing the attribution of subjective opinions to robots. We investigated robot and human factors that may affect subjective opinion attribution to robots. Furthermore, these factors were investigated in four different cases, adopting a combination of the robots' types and control methods, considering actual scenarios of robot usage. The survey was conducted online, and the participants completed a questionnaire after receiving instructions regarding the robot. The results revealed that the perception of the robots' sensory capabilities significantly influenced the attribution of subjective opinions in all the surveyed cases. Additionally, in the case of an autonomous small robot, there is a possibility that participants' self-perception of their judgment abilities might also impact their subjective opinion attribution to the robot. The findings highlight the importance of aligning subjective opinion utterances in conversational robots with user perceptions of the robot's sensory capabilities. They also emphasized the significance of exploring how users' self-perceptions influence their perceptions of robots. These insights provide valuable guidance for designing conversational strategies and speech generation in robots that engage in the exchange of subjective opinions with humans.
对话机器人的实用性已在各个领域得到证明。有人认为，表达主观意见对于对话机器人激发用户参与对话的意愿至关重要。然而，一个挑战仍然存在，即用户通常很难将主观意见归因于机器人。因此，本研究旨在探讨影响将主观意见归因于机器人的因素。我们调查了可能影响对机器人主观意见归因的机器人和人类因素。此外，考虑到机器人使用的实际场景，采用机器人类型和控制方法的组合，在四种不同情况下对这些因素进行了调查。调查通过在线方式进行，参与者在收到有关机器人的说明后完成了一份问卷。结果显示，在所有调查案例中，对机器人感官能力的感知显著影响了主观意见的归因。此外，在自主小型机器人的情况下，参与者对自己判断能力的自我感知也有可能影响他们对机器人的主观意见归因。研究结果突出了使对话机器人中的主观意见表达与用户对机器人感官能力的感知保持一致的重要性。它们还强调了探索用户的自我感知如何影响他们对机器人的感知的重要性。这些见解为设计与人类进行主观意见交流的机器人的对话策略和语音生成提供了有价值的指导。
