Improving Chatbot Usability Through Structured Prompt-Based Interaction Design

This study presents a comparative evaluation of the usability of an intelligent chatbot implemented in a childcare center management system, focusing on the impact of a prompt-enhanced conversational configuration on user experience. The Chatbot Usability Questionnaire (CUQ) was used to assess perceived usability under two conditions: a baseline configuration and an enhanced configuration incorporating role-based prompting and preprocessing mechanisms. The results indicate a substantial increase in CUQ scores, from 69 in the baseline condition to 91 in the enhanced condition, suggesting improved perceived usability. Rather than isolating prompt engineering as a standalone variable, this work evaluates a system-level design approach that integrates structured prompts, role-based contextualization, and interaction refinement strategies. This study contributes to the understanding of how prompt-enhanced conversational designs can improve response clarity, relevance, and interaction quality in multi-role environments, including parents, teachers, and administrators. The findings provide empirical evidence that such configurations are associated with more coherent and role-appropriate interactions in service-oriented chatbot systems.