Identifying Design Feature Factors Critical to Acceptance of Smart Voice Assistant

The rapid development of artificial intelligence technology has made a variety of smart voice assistant products manufactured and widely used. Nevertheless, the influence of the design features of smart voice assistants on user acceptance is relatively vague. This study aimed to identify the design features that are critical to the acceptance of smart voice assistants by users. A questionnaire was designed and constructed. A total of 220 subjects participated in this survey. User acceptance is measured with perceived ease of use (PEOU), perceived usefulness (PU), attitude (AT) and intention to use (IU). Results showed that PU was significantly associated with smart voice assistant gender and PEOU. AT was significantly related to content diversity, personification, PEOU, and PU. IU was significantly related to sound quality, PU, and AT. The proposed model comprising demographic variables, design features, and acceptance-related variables could explain 49.3% of the variance in IU.