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Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study
Published on: November 30, 2022
From expert-derived user needs to user-perceived ease of use and usefulness: a two-phase mixed-methods evaluation
Mary Regina Boland1, Alexander Rusanov2, Yat So1
1Department of Biomedical Informatics, Columbia University, New York, NY, USA.
This study introduces a two-phase framework for technology evaluation, combining expert and end-user assessments. It effectively measures user satisfaction and usability, especially when user needs are unclear.
Area of Science:
- Human-Computer Interaction
- Health Informatics
- Software Engineering
Background:
- Technology evaluation faces barriers like underspecified user needs and lack of a gold standard.
- Existing methods struggle to assess novel technologies when user needs are difficult to articulate.
Purpose of the Study:
- To present a two-phase evaluation framework addressing technology assessment challenges.
- To integrate usability experts and end-users for comprehensive evaluation.
- To enable effective assessment of user needs satisfaction and perceived usability of novel designs.
Main Methods:
- A two-phase framework: Phase 1 (usability experts) and Phase 2 (end-users).
- Phase 1 involves functionality alignment and cognitive walkthroughs.
- Phase 2 employs mixed methods: time-motion analysis, software logs, usability questionnaires (System Usability Scale, Unified Theory of Acceptance of Use of Technology), think-aloud protocols, and interviews.
Main Results:
- Triangulation of quantitative and qualitative data provides insights into ease-of-use, functionality integration, user anxiety, and workflow impact.
- The framework was successfully applied in a formative evaluation of the IMPACT software.
- Demonstrates effective assessment of user needs satisfaction and perceived usefulness and usability.
Conclusions:
- The mixed-methods evaluation framework facilitates an integrated assessment of novel technology.
- It bridges the gap between evolving user needs and technology design in iterative prototyping.
- Particularly valuable for technologies where users struggle to articulate needs due to lack of a baseline.
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