Accepted for/Published in: JMIR Medical Informatics
Date Submitted:
Open Peer Review Period: -
Date Accepted:
Date Submitted to PubMed:
- Hsiao Ching C
- No More FAQs: Enhancing Mobile Health Registration with Interactive Body Diagrams: The Impact of Interaction Modality, Label Leaders, and Anchor Types on User Experience
- JMIR Medical Informatics
- DOI: 10.2196/11848
- PMID: 30303485
- PMCID: 6352016
No More FAQs: Enhancing Mobile Health Registration with Interactive Body Diagrams: The Impact of Interaction Modality, Label Leaders, and Anchor Types on User Experience
Abstract
background
In the post-pandemic era, mobile health (mHealth) applications have become essential for contactless patient care, yet user engagement has declined, highlighting the need for innovative interaction designs.
objective
This study examined the impact of three design factors—interaction modality (IM: 2D vs. 3D), label leaders (with vs. without), and anchor types (dot vs. area)—on task performance and user perceptions in a mobile symptom-assistance registration feature using body diagrams.
methods
A 2×2×2 between-subjects experiment with 80 participants was conducted.
results
(1) Label leaders and anchor types significantly influenced task performance. Optimal task performance was achieved with dot anchors paired with label leaders under the conditions of minimal learning and low screen complexity. (2) IM did not affect participants’ task performance, but strongly impacted subjective experience, particularly in usability, reality, and fun. Participants favored 3D IM due to its enhanced realism and enjoyment. (3) Labels with leaders improved perceptions of usability, unambiguity, and aesthetics. In the absence of leaders, larger area anchors provided better perceived clarity. In 3D environments, misaligned labels without leaders resulted in lower aesthetics ratings, whereas leader-aligned labels received the highest ratings.
conclusions
This study emphasizes the importance of label leaders, anchor types, and IM in mHealth applications. Design recommendations include prioritizing label leaders, customizing anchor types based on body parts, and managing visual complexity in 3D environments. Future research should involve diverse user groups and explore AI-driven interactive visualization tools for remote healthcare and diagnostics in order to enhance user satisfaction and retention.
Copyright
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