Short Assessment of Voice Assistants Scale (SAVAS): A Screening Instrument for Human-Technology Interaction Assessment

The increasing prevalence of in-vehicle voice assistants (VA) requires efficient evaluation methods. Existing scales provide valuable insights into human-technology interaction. However, their individual application does not provide a holistic impression of VAs, while using all these scales would be time-consuming. Therefore, we present the Short Assessment of Voice Assistants Scale (SAVAS) as a screening instrument, serving as a first step in the evaluation process. Based on a literature review and expert evaluations, we generated an initial item pool and subsequently conducted an online study, involving N = 285 participants evaluating an interaction. An exploratory factor analysis revealed five factors: usability, sociability, transparency, anthropomorphism, and overall visual design with good to excellent reliability values. Our methodological contribution provides a first step towards efficiently investigating users’ attitudes towards VAs. The brief but versatile SAVAS has implications for both industry and academia providing a means to economically assess attitudes on five dimensions.