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Is the Social Desirability Effect in Human–Robot Interaction overestimated? A Conceptual Replication Study Indicates Less Robust Effects
International Journal of Social Robotics ( IF 4.7 ) Pub Date : 2020-09-07 , DOI: 10.1007/s12369-020-00688-z
Benedikt Leichtmann , Verena Nitsch

The “Computers are social actors” (CASA) assumption (Nass and Moon in J Soc Issues 56:81–103, 2000. https://doi.org/10.1111/0022-4537.00153) states that humans apply social norms and expectations to technical devices. One such norm is to distort one’s own response in a socially desirable direction during interviews. However, findings for such an effect are mixed in the literature. Therefore, a new study on the effect of social desirability bias in human–robot evaluation was conducted, aiming for a conceptual replication of previous findings. In a between-subject laboratory experiment, \(N = 107\) participants had to evaluate the robot and the interaction quality after a short conversation in three different groups: In one group, the evaluation was conducted using (1) the same robot of the former interaction, (2) a different robot, (3) a tablet computer. According to the CASA assumption, it was expected, that evaluations on likability and quality of interaction, are higher in the condition with the same robot conducting the evaluation, compared to a different robot or a tablet computer because robots are treated as social actors and hence humans distort ratings in a socially desirable direction. Based on previous findings, we expected robots to evoke higher anthropomorphism and feelings of social presence compared to the tablet computer as potential explanation. However, the data did not support the hypotheses. Low sample size, low statistical power, lack of measurement validation and other problems that could lead to an overestimation of effect sizes—in this study and the literature in general—are discussed in light of the replicability crisis.



中文翻译:

人与机器人互动中的社会可取性效应是否被高估了?概念复制研究表明效果较差

“计算机是社会参与者”(CASA)的假设(Nass and Moon in J Soc Issue 56:81–103,2000. https://doi.org/10.1111/0022-4537.00153)指出,人类将社会规范和期望应用于技术设备。这样的一种规范是在面试过程中向社交上有利的方向歪曲自己的反应。但是,有关这种效果的发现在文献中参差不齐。因此,进行了一项关于社会期望偏差在人机评价中的作用的新研究,旨在概念性地复制以前的发现。在受试者之间的实验室实验中,\(N = 107 \)参与者必须在三个不同的小组中进行简短的交谈后评估机器人和交互质量:在一组中,评估是使用(1)以前交互的同一机器人,(2)不同的机器人,(3)一个平板电脑。根据CASA的假设,与其他机器人或平板电脑相比,在同一机器人进行评估的条件下,人们对互动的亲和力和互动质量的评估更高,因为机器人被视为社会行为者,因此人类会向社会期望的方向扭曲评级。根据以前的发现,我们希望机器人能比平板电脑唤起更高的拟人化和社交感。但是,数据不支持这些假设。样本量小

更新日期:2020-09-08
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