InsightPulse: An IoT-based System for User Experience Interview Analysis

TL;DR

InsightPulse is an IoT-enabled system that improves UX interview analysis by providing real-time speech analysis, thematic summaries, and an analytics dashboard, thereby streamlining the interview process and enhancing research efficiency.

Contribution

The paper introduces InsightPulse, a novel IoT-based platform integrating speech analysis and AI to support real-time interview insights and post-interview analytics.

Findings

Real-time identification of key discussion points

Automatic generation of thematic summaries

Enhanced efficiency in UX research workflows

Abstract

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.