Descripción:
User Experience (UX) evaluation is fundamental for digital product improvement, yet traditional written questionnaires face limitations in engagement, accessibility, and response consistency. To address this, we present the design, development, and validation of voice-based adaptations of the User Experience Questionnaire, or UEQ, using natural conversational interfaces. This research introduces two distinct implementations: direct scale mapping approach called Voice1-7, and a novel branched-dialog approach called Voice2Q, which uses sequential questions to capture attitude direction and intensity. Further,we propose Voice2Q+VC, a voice-first variant with minimal visual cues to enhance clarity while preserving voice interaction primacy. Multi-stage validation was conducted through multiple case studies involving 345 participants in the design and evaluation phases. These studies compared voice implementations against the standard written version of UEQ. Statistical analyses across diverse participant groups confirmed that both Voice2Q and Voice1-7 produced similar results to the written UEQ in core UX dimensions —Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation, Novelty—establishing their measurement validity. A Usability, UX and cognitive workload comparison was conducted. Results revealed thatVoice2Q significantly reduced response inconsistencies and excelled in UX hedonic stimulation, while the written UEQ retained advantages in UX pragmatic efficiency. Voice2Q+VC mitigated workload challenges inherent in voice-only interactions, outperforming the written UEQ in Usability and UX hedonic dimensions while approaching its UX pragmatic performance levels. These results suggest that supplemental visuals can optimize voice-driven evaluation without sacrificing conversational engagement. This work confirms voice-based UEQ as a statistically valid, accessible alternative to written formats, with benefits in response reliability and user engagement. The Voice2Q+VC implementation presents a promising paradigm for balancing natural interaction with cognitive efficiency in UX evaluation.
Tipo de publicación: Journal Article
Publicado en: Journal of Engineering Research and Sciences
Autores- Díaz-Oreiro, Ignacio
- López, Gustavo
Investigadores del CITIC asociados a la publicación
Dr. Ignacio Díaz Oreiro
Dr. Gustavo López Herrera
Proyecto asociado a la publicación
Implementación de un cuestionario estandarizado de evaluación de experiencia de usuario a través de asistentes inteligentes por voz