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Surveys are essential in various fields to gather feedback and information. Efficient data processing is thus crucial for quick, informed decision-making. As the volume of data continues to grow, automation in survey analysis has become increasingly important. This paper proposes a new software tool, SurveySense, which aims to streamline the survey analysis process. A study involving 26 participants was also conducted to evaluate the tool across six dimensions - Insight Quality, Efficiency, Consistency, User satisfaction and Trustworthiness, Human-AI Collaboration and Usability and Interaction. Results showed that SurveySense would be a helpful assistant for survey analysis but human inputs remain crucial in the process to further refine the AI-generated insights to align with personal goals.

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Interactive Sensemaking with SurveySense: Enhancing Survey Insights Through Human-AI Collaboration on an LLM-Based Platform

  • 会议论文

  • 发表日期：

    2025年

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  • Jia Hui Bong,
  • Chang Cai,
  • Sing Yee Toh,
  • Siyuan Liu,
  • Xiuyi Fan

摘要

Surveys are essential in various fields to gather feedback and information. Efficient data processing is thus crucial for quick, informed decision-making. As the volume of data continues to grow, automation in survey analysis has become increasingly important. This paper proposes a new software tool, SurveySense, which aims to streamline the survey analysis process. A study involving 26 participants was also conducted to evaluate the tool across six dimensions - Insight Quality, Efficiency, Consistency, User satisfaction and Trustworthiness, Human-AI Collaboration and Usability and Interaction. Results showed that SurveySense would be a helpful assistant for survey analysis but human inputs remain crucial in the process to further refine the AI-generated insights to align with personal goals.