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Evaluating Pictograph Sequences for Communication in Emergency Settings.

Johanna Gerlach¹, Pierrette Bouillon¹, Hervé Spechbach²

¹FTI/TIM, University of Geneva, Geneva, Switzerland.

Studies in Health Technology and Informatics

|May 17, 2025

Summary

This study evaluated a speech-to-pictograph system for emergency medical communication. The crowdsourced method efficiently identified issues with illustrations and sequences, improving system design.

Keywords:

evaluation medical communication pictographs

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Area of Science:

Medical Informatics
Human-Computer Interaction
Emergency Medicine

Background:

Effective doctor-patient communication is crucial in emergency settings.
Current communication tools may be insufficient for diverse patient populations or critical situations.
Bridging communication gaps in emergencies requires innovative technological solutions.

Purpose of the Study:

To evaluate a novel system translating spoken language into pictograph sequences.
To assess the system's utility for doctor-patient communication in emergency scenarios.
To determine the effectiveness of a crowdsourced, scenario-based evaluation methodology.

Main Methods:

A crowdsourced, scenario-based approach was employed for system evaluation.
Participants evaluated a speech-to-pictograph translation system.
The focus was on identifying problematic illustrations and pictograph sequences.

Main Results:

The evaluation methodology proved efficient in identifying system weaknesses.
Specific illustrations and sequences requiring improvement were pinpointed.
Crowdsourced feedback facilitated rapid iteration and refinement of the communication system.

Conclusions:

The proposed crowdsourced evaluation methodology is effective for assessing speech-to-pictograph systems.
This approach enables efficient identification of usability issues in medical communication tools.
The findings support the development of improved pictograph-based communication aids for emergency medical care.