# Measuring Voice UX Quantitatively: A Rapid Review

arXiv: https://arxiv.org/abs/2103.07108 · HTML: https://mlsanity.com/paper/2103.07108/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Mar 2021.

## Built on by (most cited first, 6 of 6)

- [Nonverbal Cues in Human-Robot Interaction: A Communication Studies Perspective](https://mlsanity.com/paper/2304.11293/) (2023)
- [Toward Metaphor-Fluid Conversation Design for Voice User Interfaces](https://mlsanity.com/paper/2502.11554/) (2025)
- [Can Voice Assistants Sound Cute? Towards a Model of Kawaii Vocalics](https://mlsanity.com/paper/2304.12809/) (2023)
- [Qualitative Approaches to Voice UX](https://mlsanity.com/paper/2404.14736/) (2024)
- [ChatGPT and U(X): A Rapid Review on Measuring the User Experience](https://mlsanity.com/paper/2503.15808/) (2025)
- [Super Kawaii Vocalics: Amplifying the "Cute" Factor in Computer Voice](https://mlsanity.com/paper/2507.06235/) (2025)

## Abstract (arXiv)

Computer voice is experiencing a renaissance through the growing popularity of voice-based interfaces, agents, and environments. Yet, how to measure the user experience (UX) of voice-based systems remains an open and urgent question, especially given that their form factors and interaction styles tend to be non-visual, intangible, and often considered disembodied or "body-less." As a first step, we surveyed the ACM and IEEE literatures to determine which quantitative measures and measurements have been deemed important for voice UX. Our findings show that there is little consensus, even with similar situations and systems, as well as an overreliance on lab work and unvalidated scales. In response, we offer two high-level descriptive frameworks for guiding future research, developing standardized instruments, and informing ongoing review work. Our work highlights the current strengths and weaknesses of voice UX research and charts a path towards measuring voice UX in a more comprehensive way.