Ghiglino Davide, Willemse Cesco, De Tommaso Davide, Wykowska Agnieszka
Social Cognition in Human-Robot Interaction, Istituto Italiano di Tecnologia, Genova, Italy.
DIBRIS, Università Degli Studi di Genova, Genova, Italy.
Front Robot AI. 2021 May 28;8:642796. doi: 10.3389/frobt.2021.642796. eCollection 2021.
Artificial agents are on their way to interact with us daily. Thus, the design of embodied artificial agents that can easily cooperate with humans is crucial for their deployment in social scenarios. Endowing artificial agents with human-like behavior may boost individuals' engagement during the interaction. We tested this hypothesis in two screen-based experiments. In the first one, we compared attentional engagement displayed by participants while they observed the same set of behaviors displayed by an avatar of a humanoid robot and a human. In the second experiment, we assessed the individuals' tendency to attribute anthropomorphic traits towards the same agents displaying the same behaviors. The results of both experiments suggest that individuals need less effort to process and interpret an artificial agent's behavior when it closely resembles one of a human being. Our results support the idea that including subtle hints of human-likeness in artificial agents' behaviors would ease the communication between them and the human counterpart during interactive scenarios.
人工智能体正逐渐融入我们的日常生活。因此,设计能够轻松与人类合作的具身人工智能体对于其在社交场景中的应用至关重要。赋予人工智能体类人行为可能会提高个体在交互过程中的参与度。我们在两个基于屏幕的实验中对这一假设进行了测试。在第一个实验中,我们比较了参与者在观察人形机器人和人类的化身展示相同一组行为时所表现出的注意力参与度。在第二个实验中,我们评估了个体对表现出相同行为的相同智能体赋予拟人化特征的倾向。两个实验的结果均表明,当人工智能体的行为与人类行为极为相似时,个体处理和解释其行为所需的努力会更少。我们的研究结果支持了这样一种观点,即在人工智能体的行为中融入微妙的类人暗示将有助于在交互场景中它们与人类之间的沟通。