Performance Evaluation using Human Computer Interaction Models
In today's digital age, the usability of mobile applications plays a crucial role in delivering efficient services and enhancing user experience. This study evaluates user performance in interacting with mobile applications through human-computer interaction models. Specifically, the GOMS-Touch-Level Model (GOMS-TLM) is employed as a testing methodology, complemented by the System Usability Scale (SUS) for assessing application usability. The research provides in-depth insights into user behavior and performance by applying both the System Usability Scale (SUS) and the GOMS-Touch-Level Model (GOMS-TLM). The findings reveal that combining these methods offers a comprehensive understanding of usability issues and user interaction patterns. By comparing the effectiveness of these evaluation methods, the study establishes guidelines for assessing applications and highlights the advantages of using both approaches for improved assessment accuracy. Results demonstrate that this combined approach yields more efficient and accurate outcomes, ultimately contributing to the development of more user-friendly mobile applications.
Authors
- Parkpoom Chaisiriprasert (ORCID: https://orcid.org/0009-0002-4148-5043)
- Thannob Aribarg (ORCID: https://orcid.org/0009-0006-5067-4515)
- Apicha Deearom
Institutions
- Rangsit University (TH)
Publication Details
- Published
- 2024-11-14
- DOI
- https://doi.org/10.1109/incit63192.2024.10810632
- Citations
- 1
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.64