We examined how a revised presentation method of The Godspeed Scales affected results accruing from such tests which concern user judgments of anthropomorphism, animacy, likability, perceived intelligence, and perceived safety of robots. Through the use of Likert-type scales, rather than the original semantic- or bipolar-scale structure, we correlated results in order to determine which word pairs in the original scales were truly opposite in their meanings, where true opposites were anticipated to possess a strongly negative correlation. Results showed that individual differences in each participant’s baseline tendency to choose a rating exerted the strongest relationship with their overall scores. When those differences were accounted for the majority of the word-pairs used in the Godspeed Scale had negative correlations. These findings indicate that individual differences, rather than features of the robot per se, played the largest part in predicting how people will perceive any particular robot.

我们研究了修订后的《 The Godspeed Scales》演示方法如何影响此类测试的结果，这些测试涉及用户对拟人化，生气勃勃，可爱，智能感知和机器人安全性的判断。通过使用Likert型量表，而不是原始的语义量表或双极量表结构，我们将结果关联起来，以确定原始量表中的哪些词对在含义上是真正相反的，而预计真正对立的词对将具有强烈的负相关。结果显示，每个参与者选择评分的基线趋势中的个体差异与他们的总体评分之间存在最强的关系。当这些差异被考虑时，Godspeed量表中使用的大多数单词对都具有负相关性。