用物联网和AI自动分析用户访谈，实时提问题、总结主题
InsightPulse: An IoT-based System for User Experience Interview Analysis
- 通过语音分析与AI识别关键话题，实时辅助访谈
- 自动生成主题摘要，帮助快速提取核心发现
- 适合用户体验研究者，提升访谈效率与洞察深度
用户体验（UX）访谈常面临焦点分散、时长难控及后期分析繁琐等问题。为此，本文提出InsightPulse——一个基于物联网的软硬件系统，通过语音分析与人工智能技术，实现在访谈过程中自动识别关键讨论点，主动推荐追问问题，并生成主题摘要。该系统可有效引导访谈进程，确保重点不遗漏。此外，其强大的后端分析仪表盘简化了访谈后的复盘流程，支持快速提炼可操作洞察，显著提升整体用户体验研究效率。
原文摘要 · Abstract (English)
Conducting efficient and effective user experience (UX) interviews often poses challenges, such as maintaining focus on key topics and managing the duration of interviews and post-interview analyses. To address these issues, this paper introduces InsightPulse, an Internet of Things (IoT)-based hardware and software system designed to streamline and enhance the UX interview process through speech analysis and Artificial Intelligence. InsightPulse provides real-time support during user interviews by automatically identifying and highlighting key discussion points, proactively suggesting follow-up questions, and generating thematic summaries. These features enable more insightful discoveries and help to manage interview duration effectively. Additionally, the system features a robust backend analytics dashboard that simplifies the post-interview review process, thus facilitating the quick extraction of actionable insights and enhancing overall UX research efficiency.
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