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Assessing User Experience with Piezoresistive Force Sensors: Interpreting Button Press Impulse and Duration
Carlos Gilberto Gomez-Monroy1, Vicente Borja2, Alejandro Ramirez-Reivich2
1Postgraduate School of Engineering, Universidad Nacional Autónoma de México, Ciudad Universitaria, Ciudad de México 04510, Mexico.
Sensors (Basel, Switzerland)
|November 13, 2025
Summary
This study introduces a novel sensor-based method for assessing user experience (UX) in human-robot interaction. Bodily interaction metrics offer a privacy-conscious, embedded alternative for evaluating user satisfaction in robotic systems.
Area of Science:
- Human-Robot Interaction
- Ubiquitous Computing
- Human-Computer Interaction
Background:
- Growing integration of robotic systems necessitates privacy-conscious and embedded user experience (UX) assessment methods.
- Traditional UX evaluations (vision, audio, questionnaires) are often intrusive, computationally intensive, or unsuitable for low-power devices.
- There is a need for novel, less intrusive methods for real-time UX assessment in human-robot interaction (HRI).
Purpose of the Study:
- To introduce and validate a novel sensor-based method for assessing UX through direct physical interaction.
- To explore the correlation between bodily interaction metrics (force, time) and user experience.
- To demonstrate the feasibility of real-time, embedded, and privacy-aware UX evaluation in robotic systems.
Main Methods:
- Designed a robot lamp with a force-sensing button interface for user interaction.
- Conducted a user study involving participants interacting with the robot lamp during a reading task.
- Collected force and time data from button presses and correlated these metrics with user-reported UX and demographic data.
- Utilized a 7-point Likert scale for participants to rate their user experience.
Main Results:
- Demonstrated a significant correlation between bodily interaction metrics (force and time data from button presses) and user experience.
- Showcased the potential of physical interaction data as a viable alternative for UX assessment.
- Indicated that sensor-based interaction data can provide insights into user satisfaction without intrusive methods.
Conclusions:
- Bodily interaction metrics represent a promising, privacy-conscious approach for embedded UX assessment in human-robot interaction.
- This sensor-based method enables real-time, unobtrusive evaluation of user satisfaction, suitable for low-power and embedded robotic systems.
- Future research can expand on using physical interaction data for nuanced UX evaluation in diverse robotic applications.
