Conceptual design and perceived usability evaluation of quickorder: A multimodal B2B food ordering system for small- and medium-sized restaurants
Liang, Wanjia (2025)
2025
All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe20251215119595
https://urn.fi/URN:NBN:fi-fe20251215119595
Tiivistelmä
This thesis work presents the conceptual design of QuickOrder, a multimodal B2B food ordering system that fits into the everyday ordering practices of staff in small- and medium-sized restaurants, while simultaneously enabling order-data automation on the supplier side. In addition to outlining the design, the study examines how users perceived the system’s interaction workflow during usability testing.
The theoretical grounding for the work draws on multimodal human–computer interaction and one of its central conceptual frameworks, the CARE properties—Equivalence, Assignment, Complementarity, and Redundancy—which inform decisions about which input modalities to support and how they should interoperate within a unified workflow. Guided by the design science research approach, the QuickOrder prototype was developed through a structured process comprising analysis of the problem context, the design of the multimodal ordering workflow, and an evaluation of its perceived usability and interaction experience.
To demonstrate the practical feasibility of QuickOrder modalities, a mobile-responsive interactive prototype without backend processing was implemented, and task-based usability testing was conducted with restaurant personnel in realistic working environments. Evaluation data were collected through screen recordings, observational notes, the System Usability Scale, and a short-form workload questionnaire. Across the sessions, participants were able to construct, adjust, and confirm orders with continuity and minimal assistance, selecting and switching between input modalities according to situational demands. Corrections and confirmations were handled smoothly, and feedback was interpreted consistently. Overall, the results suggest that the QuickOrder interaction workflow supports flexible, low-effort, and context-adaptive ordering in restaurant environments. As the evaluation focused only on interaction-level usability, future work is suggested to include implementing full data processing capabilities and assessing performance in live operational use.
The theoretical grounding for the work draws on multimodal human–computer interaction and one of its central conceptual frameworks, the CARE properties—Equivalence, Assignment, Complementarity, and Redundancy—which inform decisions about which input modalities to support and how they should interoperate within a unified workflow. Guided by the design science research approach, the QuickOrder prototype was developed through a structured process comprising analysis of the problem context, the design of the multimodal ordering workflow, and an evaluation of its perceived usability and interaction experience.
To demonstrate the practical feasibility of QuickOrder modalities, a mobile-responsive interactive prototype without backend processing was implemented, and task-based usability testing was conducted with restaurant personnel in realistic working environments. Evaluation data were collected through screen recordings, observational notes, the System Usability Scale, and a short-form workload questionnaire. Across the sessions, participants were able to construct, adjust, and confirm orders with continuity and minimal assistance, selecting and switching between input modalities according to situational demands. Corrections and confirmations were handled smoothly, and feedback was interpreted consistently. Overall, the results suggest that the QuickOrder interaction workflow supports flexible, low-effort, and context-adaptive ordering in restaurant environments. As the evaluation focused only on interaction-level usability, future work is suggested to include implementing full data processing capabilities and assessing performance in live operational use.