InsightPulse: An IoT-based System for User Experience Interview Analysis
This addresses problems for UX researchers by streamlining interview processes, though it appears incremental as it builds on existing IoT and AI technologies.
The paper tackled challenges in user experience interviews, such as maintaining focus and managing duration, by introducing InsightPulse, an IoT-based system that uses speech analysis and AI to provide real-time support, resulting in more insightful discoveries and enhanced efficiency.
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.