Evidence map›Paper›PMID 41228908›Full record

ArticleSensors (Basel, Switzerland)2025

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

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Carlos Gilberto Gomez-MonroyPostgraduate School of Engineering, Universidad Nacional Autónoma de México, Ciudad Universitaria, Ciudad de México 04510, Mexico.ORCID 0000-0001-8102-8117
Vicente BorjaDepartment of Mechanical Engineering, Universidad Nacional Autónoma de México, Ciudad Universitaria, Ciudad de México 04510, Mexico.ORCID 0000-0002-0980-1846
Alejandro Ramirez-ReivichDepartment of Mechanical Engineering, Universidad Nacional Autónoma de México, Ciudad Universitaria, Ciudad de México 04510, Mexico.ORCID 0000-0003-4047-9370
Maria Del Pilar Corona-LiraDepartment of Mechanical Engineering, Universidad Nacional Autónoma de México, Ciudad Universitaria, Ciudad de México 04510, Mexico.ORCID 0000-0002-8756-9675

Funding

Consejo Nacional de Humanidades, Ciencias y Tecnologías PhD fellowship programUniversidad Nacional Autónoma de México DGAPA-PAPIIT IT-101718Universidad Nacional Autónoma de México DGAPA-PAPIIT IT-103320
6 · The paper itself

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 interaction metrics as a viable alternative for UX assessment in human-robot interaction, enabling real-time, embedded, and privacy-aware evaluation of user satisfaction in robotic systems.

Indexed as

RoboticsAdolescentAdultAgedFemaleHumansMaleMiddle AgedUser-Computer InterfaceYoung Adultembedded UXforce sensorshuman-robot interactionphysical human-robot interactionpiezoresistive force sensorsprivacy-aware sensinguser experience

Identifiers

PMID41228908
PMCPMC12609969

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.