Concerning Trends in Likert Scale Usage in Human-robot Interaction: Towards Improving Best Practices

As robots become more prevalent, the importance of field human-robot interaction (HRI) grows accordingly. such, we should endeavor to employ best statistical practices in HRI research. Likert scales are commonly used metrics measure perceptions and attitudes. Due misinformation or honest mistakes, many researchers do not adopt when analyzing data. We conduct a review psychometric literature determine current standard for scale design analysis. Next, survey five years International Conference on Human-Robot Interaction (HRIc) (2016 through 2020) report incorrect [ 1 , 2 3 5 7 ]. During these years, only 4 144 papers applied proper testing correctly designed scales. additionally across several venues provide comparative analysis how differ Human-robot Interaction. find that venue’s impact score negatively correlates with number Likert-related errors acceptance rate, total accepted per venue positively errors. also statistically significant differences between frequency misnomer Our suggests there areas meaningful improvement Based our findings, guidelines tutorial developing associated detail list recommendations improve accuracy conclusions drawn from