2025/07/16 by Katie Seaborn, Maximilian Altmeyer, Ge Li +3 · 2 voices
Computer Science · Psychology · #Speech and dialogue systems #AI in Service Interactions #Social Robot Interaction and HRI
paper · doi:10.1016/j.ijhcs.2025.103576
openalex publication_date 2025/07/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/22
Voice interaction has entered daily life. Yet, the measurement of voice user experience (voice UX) remains underdeveloped. We took a consensus-based approach to the creation of a new instrument grounded in the work of voice UX researchers. For this, we conducted a systemic review of the literature from ACM, IEEE, and Web of Science ( ) to gather a corpus of instruments, measures, and methodological perspectives. We then carried out two validation studies on a range of computer voices, showing through exploratory ( ) and confirmatory factor analyses ( ) that five underlying factors unify the consensus-derived measures. We offer the 24-item Voice Experience Inventory (VOXI) alongside three comprehensive frameworks on key independent and dependent variables and their relationships, anchored to the material that guided our instrument development process. This work represents a timely and community-centred path towards rigorous and standardized measurement of voice UX.