Crowdsourcing: A Framework for Usability Evaluation
Muhammad Nasir

TL;DR
This paper presents a framework for using crowdsourcing as a cost-effective and efficient alternative to expert heuristic evaluation in software usability testing, validated through experiments and a case study.
Contribution
It introduces a novel framework for crowd usability inspection that matches expert evaluations and demonstrates its effectiveness through empirical experiments and a case study.
Findings
Crowdsourced usability inspections can match experts in identifying issues.
The framework enables effective usability evaluations with 3-5 novice inspectors.
Crowdsourcing reduces cost and time compared to traditional expert evaluations.
Abstract
Objective: This research explores using crowdsourcing for software usability evaluation. Background: Usability studies are essential for designing user-friendly software, but traditional methods are often costly and time-consuming. Crowdsourcing offers a quicker, cost-effective alternative for remote usability evaluation, though ensuring quality feedback remains a challenge. Method: A systematic mapping study was conducted to review current usability evaluation research. Subsequently, multi-experiments were performed, comparing novice crowd usability inspectors to experts using expert heuristic evaluation as a benchmark. These results were used to create and validate a framework for crowd usability inspection through a case study. Results: The mapping study identified expert heuristic evaluation as a prevalent method, especially for websites. Experimental findings showed that…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsUsability and User Interface Design · Big Data and Business Intelligence · Technology Adoption and User Behaviour
