Assessing User Experience with Piezoresistive Force Sensors: Interpreting Button Press Impulse and Duration
Carlos Gilberto Gomez-Monroy, Vicente Borja, Alejandro Ramirez-Reivich, Maria del Pilar Corona-Lira

TL;DR
This paper introduces a privacy-friendly method for measuring user experience with robots using physical button press data instead of intrusive methods like cameras or questionnaires.
Contribution
The study proposes a novel sensor-based UX assessment method using piezoresistive force sensors for embedded robotic systems.
Findings
Force and time data from button presses correlate with user experience ratings.
The method enables real-time and privacy-aware UX evaluation in human-robot interaction.
Bodily interaction metrics are shown to be a viable alternative to traditional UX assessment methods.
Abstract
As robotic systems become increasingly integrated into daily life, the need for user experience (UX) assessment methods that are both privacy-conscious and suitable for embedded hardware platforms has grown. Traditional UX evaluations relying on vision, audio, or lengthy questionnaires are often intrusive, computationally demanding, or impractical for low-power devices. In this study, we introduce a novel sensor-based method for assessing UX through direct physical interaction. We designed a robot lamp with a force-sensing button interface and conducted a user study involving controlled robot errors. Participants interacted with the lamp during a reading task and rated their UX on a 7-point Likert scale. Using force and time data from button presses, we correlated force and time data to user experience and demographic information. Our results demonstrate the potential of bodily…
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Taxonomy
TopicsSocial Robot Interaction and HRI · Tactile and Sensory Interactions · Robot Manipulation and Learning
