Science Information System and Technology
Vol. 4 No. 02 (2026): West Science Information System and Technology

Modular Integration of Raw NASA-TLX and VisAWI-S in UIX-Probe: An Analytics Dashboard for Supporting UX Evaluation

Anugrah Nur Rahmanto (Politeknik Negeri Malang)
Retno Damayanti (Politeknik Negeri Malang)
Muhammad Abel Rif'at Nandito (Politeknik Negeri Malang)



Article Info

Publish Date
31 Aug 2026

Abstract

Evaluation of User Interface (UI) and User Experience (UX) typically relies on several questionnaire instruments that are administered and scored separately, making score aggregation and cross-method triangulation labor-intensive. UIX-Probe is a web-based multi-method UI/UX assessment platform that already integrated the System Usability Scale (SUS), the Technology Acceptance Model (TAM), A/B testing and the Web Content Accessibility Guidelines (WCAG), but lacked instruments for two constructs central to user experience: subjective mental workload and perceived visual aesthetics. This paper reports the design, implementation and workflow of two new modules integrated into UIX-Probe Raw NASA-TLX and the Short Visual Aesthetics of Websites Inventory (VisAWI-S) with a focus on the analytics dashboard that turns raw responses into interpretable output for developers and interface designers. The dashboard provides a composite score with automatic classification, a per-dimension mean comparison, per-question response distributions, a per-respondent results table, respondent demographics, and automatically generated narrative descriptions, all exportable to Excel. The system was built using the Waterfall SDLC on a Laravel 10 + React.js (Inertia.js) architecture. Functionality was verified under real-world deployment: five independent developer teams created and distributed their own evaluation surveys on the platform, collecting 115 responses across five surveys. The four surveys using the new modules produced Raw NASA-TLX composite scores of 10.99–21.75/100 (all Moderate) and VisAWI-S composite scores of 4.23–5.81/7 (Positive to Very Positive). All three verification criteria were met: 5/5 teams configured a survey successfully, every survey obtained real respondents, and every dashboard rendered without error.

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Journal Info

Abbrev

wsist

Publisher

Subject

Computer Science & IT

Description

West Science Information System and Technology is a scholarly journal dedicated to the exploration and advancement of knowledge in the field of information systems and technology. The journal aims to publish high-quality research articles that contribute significantly to the understanding and ...