Skip to content
Book Open access

A Comparison of Speech and Typing Input for Creative Generative AI Tasks

Jul 2026 · International Conference on Conversational User Interfaces · 0 citations · 41 references
Computer Science

TL;DR

A user study comparing two modalities for writing prompts for generative AI tasks reveals that input modality significantly influenced prompting behaviour but did not lead to measurable differences in subjective evaluations.

Abstract

Generative AI systems, such as ChatGPT, are increasingly integrated into how users work and create content. The most common way to interact with these systems is through text-based prompting, typically produced by typing on a keyboard or using speech-to-text. While speech input is supported in generative AI systems, little research has examined how speech and typing differ for prompt creation. We conducted a user study (N = 40) comparing two modalities for writing prompts—speech and typing—across two common generative AI tasks: image creation (e.g., a self-portrait) and text creation (e.g., a blog post). We examine behavioural metrics (prompt length, time, and iterations) and subjective perceptions of the experience and generated output. Our results reveal that input modality significantly influenced prompting behaviour but did not lead to measurable differences in subjective evaluations.

Read PDF

Similar papers

Preprint Aug 2026

From Prompting to Describing: A Cross-Cultural Study of Language for AI-Generated Music

This work pair 200 real-world Udio prompts with their generated audio and free-form descriptions collected from English- and Korean-speaking listeners, and contributes a human-derived taxonomy of musical prompting vocabulary grounded in real user data, finding a consistent structural asymmetry.

Sangheon Park, Claire Arthur · 0 citations
Open access Jul 2026

Voice and Ownership in AI-Assisted L2 Writing

Pedagogy and assessment should focus less on whether AI is present than on whether learners understand, transform, and authorise its contribution, according to whether learners understand, transform, and authorise its contribution.

Aser Altalib · 0 citations
Conference Jul 2026

An AI-Driven Voice-to-Image Generation Model for Assistive Applications

People with physical and motor disabilities face significant barriers when interacting with image creation applications that rely on keyboard input, touchscreens, or complex graphical interfaces. Although modern AI image generation models produce high-fidelity images from textual descriptions, they remain dependent on...

Dasari Sri Krishna, Vaddi Radhesyam, Lakshmi Aiswarya Narikimilli et al. · 0 citations
Jul 2026

Toward AI‑literate and genre awareness

Revision tasks using ChatGPT were embedded into a 15-week SFL–GBA writing class at a university in Japan and showed a gradual shift toward a more academic register with higher lexical density and more nominalizations.

Akiko Nagao · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.