TESY: A Usability Test-Driven Prototyping Assistant Connecting Designers with Crowd-Testers

In recent years, the availability of easy-to-use prototyping tools has empowered designers to create GUI designs. In parallel, a broad spectrum of usability testing tools have been proposed to support the collection of quantitative test data from crowd-testers. However, test specification and results are typically disconnected from created GUI designs and, therefore, difficult to translate into improvements. In this paper, we present TESY, a prototyping assistant integrating usability test specification and resulting test data. We implement TESY as a plug-in in the prototyping tool Figma. In a controlled lab study, we compare how 34 untrained designers create prototypes, specify usability tests, and improve the prototypes using the collected test data with and without TESY. We contribute by demonstrating how TESY empowers untrained designers to create enhanced GUI designs following a usability test-driven prototyping approach. Specifically, we demonstrate how TESY's capability of tightly integrating test data provided by crowd-testers into the prototyping tool leads to more data-driven and task-focused design improvements.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-05-02
DOI
https://doi.org/10.1145/3711082
Citations
1
Primary Topic
Mobile Crowdsensing and Crowdsourcing
Type
article
Field-Weighted Citation Impact
1.69
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article

TESY: A Usability Test-Driven Prototyping Assistant Connecting Designers with Crowd-Testers

Alexander Maedche, Felix Kretzer
1 citations
Proceedings of the ACM on Human-Computer Interaction
Mobile Crowdsensing and Crowdsourcing
1.69
article

TESY: A Usability Test-Driven Prototyping Assistant Connecting Designers with Crowd-Testers

Alexander Maedche, Felix Kretzer
article en
1 citations

Abstract

In recent years, the availability of easy-to-use prototyping tools has empowered designers to create GUI designs. In parallel, a broad spectrum of usability testing tools have been proposed to support the collection of quantitative test data from crowd-testers. However, test specification and results are typically disconnected from created GUI designs and, therefore, difficult to translate into improvements. In this paper, we present TESY, a prototyping assistant integrating usability test specification and resulting test data. We implement TESY as a plug-in in the prototyping tool Figma. In a controlled lab study, we compare how 34 untrained designers create prototypes, specify usability tests, and improve the prototypes using the collected test data with and without TESY. We contribute by demonstrating how TESY empowers untrained designers to create enhanced GUI designs following a usability test-driven prototyping approach. Specifically, we demonstrate how TESY's capability of tightly integrating test data provided by crowd-testers into the prototyping tool leads to more data-driven and task-focused design improvements.

Proceedings of the ACM on Human-Computer InteractionVol. 9(2)
Karlsruhe Institute of Technology (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
Mobile Crowdsensing and Crowdsourcing
1.69
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