InsightPulse: An IoT-based System for User Experience Interview Analysis
<|reference_start|>InsightPulse: An IoT-based System for User Experience Interview Analysis: 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.<|reference_end|>
@article{lyu2024insightpulse:,
    title={InsightPulse: An IoT-based System for User Experience Interview Analysis},
    author={Dian Lyu, Yuetong Lu, Jassie He, Murad Mehrab Abrar, Ruijun Xie, John
  Raiti},
    journal={arXiv preprint arXiv:2410.00036},
    year={2024},
    archivePrefix={arXiv},
    eprint={2410.00036},
    primaryClass={cs.HC cs.AI eess.AS}
}