Poron Mouse Pad User Experience Quantification: New Logic for Peripheral Product Iteration Driven by Data

At the moment when the consumer electronics industry is transforming from “functional satisfaction” to “experience competition”, user experience has become the core barrier for differentiated competition in Poron mouse pads.

However, the experience optimization of traditional peripheral products mostly relies on subjective feedback and empirical judgment,

And there are pain points of “fuzzification” and “fragmentation” – as described by players.
“smooth feel” and “support comfort” are difficult to convert into technical parameters that can be implemented.

Since 2025, with the deep integration of sensing technology, AI data analysis and ergonomic research, the Poron mouse pad industry has launched the “experience quantification” revolution: by accurately collecting dimensional data such as mechanical feedback, interaction efficiency.

and health impact, the abstract experience is transformed into measurable and optimized technical indicators, and the product iteration logic is completely reconstructed.

This article will disassemble the quantitative dimensions of the user experience of Poron mouse pad, data acquisition technology paths, iterative application cases.

And industry challenges faced, revealing how data-driven drives Poron mouse pads from “experience design” to “scientific optimization”.

1. The core dimensions of experience quantification: from subjective perception to objective indicators

The user experience quantification of Poron mouse pad needs to cover three core scenarios: “operation performance – ergonomics – environmental adaptation”.

In each scenario, a multi-dimensional objective indicator system needs to be established to break the limitations of traditional “qualitative description”.​

Operating performance dimension: Accurate deconstruction of mechanical feedback

Operating performance is the core requirement of professional scenarios such as e-sports and design, and its quantification revolves around the three sub-dimensionalities of “friction control”, “rebound response” and “stability”.

In terms of friction coefficient monitoring, the industry has formed a standardized test plan: by simulating the uniform sliding speed of the mouse foot sticker (PTFE material, thickness 0.2mm) on the surface of the Poron mouse pad (speed 5cm/s-30cm/s).

Collecting friction data under different pressures (50g-200g, corresponding to the force of different users holding rats), and calculate the dynamic friction coefficient (μk) and the static friction coefficient (μs).

Industry data in 2025 show that the μk of a high-quality Poron mouse pad must be stable between 0.25-0.35, and the friction coefficient deviation in different areas is ≤±3% (for example, the actual deviation of the Razer OptiSense series is only ±1.8%).

This indicator directly determines the “linear” movement of the mouse – excessive deviation can easily lead to “gun pulling deviation” and “micro-operating lag”.​

Quantification of rebound response focuses on the dynamic mechanical properties of Poron materials. The stress-strain curve of Poron substrate under cyclic pressure was tested by dynamic mechanical analyzer (DMA).

The core indicators include “compression rebound time” (time required to restore 90% of the initial thickness after pressure release.

Industry quality standards ≤0.3s), “hysteresis loss rate” (area ratio of stress-strain curve, reflecting energy absorption efficiency, professional e-sports products need ≤15%).

Comparative data from a third-party laboratory show that the mouse pad with a high density of 0.42g/cm³ has a rebound time of 0.12s faster than the ordinary 0.35g/cm³ model.

In the FPS game “Emergency Stop – Gun Swing” operation, the positioning error can be reduced by 12%.

In addition, the stability indicators ensure reliability during intense operation through the “Edge Lift Test” (after 1kg weight presses the edge for 24 hours, the warpage height ≤1mm) and the “Anti-slip coefficient test” (the mouse pad displacement ≤2mm when the desktop is tilted by 30°).​

Ergonomic dimension: a data-based assessment of health impacts

In long-term use scenarios, the ergonomic performance of Poron mouse pads needs to be quantified through indicators such as “pressure distribution”, “muscle load”, and “fatigue correlation”,

To avoid the limitations of the traditional single parameter of “softness and hardness”. The pressure distribution test uses a flexible pressure sensor array (sampling frequency 200Hz, resolution 1mm×1mm),

Recording the pressure peak value and uniformity of the user’s wrist (palm rest area) and the mouse pad. The 2025 “White Paper on Peripheral Ergonomics” stipulates that the peak wrist pressure of a high-quality Poron mouse pad must be ≤35kPa.

And the uneven pressure distribution (maximum pressure/average pressure) is ≤1.5. This standard originates from medical research – long-term pressure peak exceeding 40kPa can easily lead to a 37% increase in the risk of carpal tunnel syndrome.

According to actual measurement data, the 5mm thick medical grade Poron (Shore hardness 25 Shore OO) has a peak pressure reduction of 28% and a 22% increase in uniformity compared to the traditional 3mm rubber pad.​

The quantification of muscle load requires the collection of bioelectric signals.

The RMS value of the EMG signal of the user’s forearm flexor muscles (palm longus, flexor wrist radialis) after 4 hours of continuous operation (root mean square, reflecting muscle activity intensity) is monitored by surface electromyography (sEMG).

The RMS value of the user’s forearm flexor muscle (palm longus longus, flexor wrist radial) after 4 hours of continuous operation (root mean square,

Reflecting muscle activity intensity) is required for high-quality Poron mouse pads to increase the RMS value by ≤25% (average increase of ordinary mouse pads is 42%).

More cutting-edge research has introduced the “fatigue recovery rate” indicator: the proportion of the electromyography signal recovering to its initial state after 30 minutes of stopping operation.

The recovery rate of the Poron material can reach more than 85% due to its dynamic pressure regulation capability, which is 30 percentage points higher than that of the EVA material.

In addition, eye tracking technology is also used to evaluate visual fatigue – the Poron mouse pad with low reflective coating (surface reflectivity ≤8%) can reduce the frequency of fluctuations in the user’s pupil diameter and reduce the visual fatigue score (subjective scale) by 21%.

Environmental adaptation dimension: multi-scenario performance stability monitoring

Poron mouse pads need to maintain stable performance under different temperature and humidity and desktop material environments. Quantitative indicators in this dimension include “temperature and humidity sensitivity”, “desktop adaptability”, and “durability attenuation”.

Temperature and humidity test simulates the main use environment in the world: under conditions of -10℃ (northern winter), 40℃ (southern summer), and 90% humidity RH (tropical regions), the friction coefficient and rebound rate are retested after 72 hours.

The performance attenuation of high-quality products requires ≤±5%. A domestic Poron brand targets the modified model of the Southeast Asian market.

By adding anti-fungal agent and humidity buffer layer, the friction coefficient deviation is only ±2.3% in a 90% RH environment, which is far better than the industry average of ±8%.​

The desktop adaptability is quantified by the “Multi-material compatibility test”: On six common desktop materials such as glass, wood, metal, and resin.

The anti-slip coefficient of the mouse pad (the static friction coefficient is ≥0.8 is qualified) and thickness compensation ability (when the desktop flatness deviation is 2mm, the surface flatness deviation of the Poron pad is ≤0.3mm).

Durability attenuation is evaluated by the “accelerated aging test”: After simulating 10,000 mouse slides (corresponding to 1 year of daily use), 500 washes (office scene cleaning requirements), the friction coefficient change rate (≤±8%), edge lock integrity (no cracking, disconnection).

The swordsman Duraflex series launched in 2025 uses nano-scale scratch-resistant coating and double-wire edge locking process. The friction coefficient change rate after accelerated aging is only ±3.2%, and the durability score is 40% higher than that of the previous generation.

2. Data acquisition technology path: sensor AI analysis from hardware

The experience quantification of Poron mouse pad needs to be based on the full-link technology system of “hardware acquisition – data processing – model analysis”.

Among which the miniaturization of sensor technology and the accuracy of AI algorithms are the core breakthrough points.

Hardware acquisition: miniaturized, high-precision sensing solution

The acquisition of operating performance data depends on two types of equipment: “desktop-level mechanical testing platform” and “portable sensing module”. Desktop-level platforms such as the Instron 5944 material testing machine can accurately control pressure (accuracy ±0.1g).

Sliding speed (±0.01cm/s), and synchronously collect friction and displacement data for laboratory-level product research and development.

While portable modules are aimed at user scenario data acquisition, such as the “intelligent mouse pad tester” developed by a certain brand – an integrated micro pressure sensor (range 0-500g) and optical displacement sensor (resolution 0.001mm).

Which can be directly attached to the bottom of an ordinary mouse, recording friction and rebound data in actual use by users in real time, and the sampling frequency reaches 500Hz.

Ensuring the capture of mechanical characteristics of instantaneous operations such as “emergency stop” and “gun throwing”.​

The collection of ergonomic data requires the coordination of multiple devices. In addition to the flexible pressure sensor array mentioned above (such as the Tekscan Flexiforce series.

Which is only 0.1mm thick and can fit the surface of the Poron pad) and sEMG devices (such as the Delsys Trigno Wireless, with a sampling rate of 2000Hz, reducing cable interference).

It is also necessary to monitor the user’s arm movement trajectory in combination with an inertial measurement unit (IMU) – through the IMU module worn on the wrist (such as the MPU-9250), record the wrist angle changes (pitch angle, yaw angle) during operation.

And analyze the impact of the Poron pad thickness on the wrist’s natural posture (ideally, the wrist pitch angle should be kept at -5°~5° to avoid excessive bending).

A certain office Poron mouse pad brand found through this technology that the average pitch angle of the wrist corresponding to the 3mm thick pad is 2.3°, which is more ergonomic than the 5mm thick pad (4.8°), and the thickness parameters of office funds are optimized.​

The collection of environmental adaptation data depends on the “temperature and humidity-mechanical integrated test chamber”.

The device can accurately control temperature (-20℃~60℃, accuracy ±0.5℃), humidity (20% RH~95% RH, accuracy ±2% RH), built-in robotic arm simulates mouse sliding, and synchronously collects mechanical performance data in different environments.

The more advanced test cabin also integrates a “desktop material switching device”, which can automatically replace 6 common desktops, realize the continuous acquisition of multi-scene data, and the testing efficiency is 10 times higher than manual operation.

Data processing: noise reduction, fusion and standardization

The collected raw data needs to go through multiple rounds of processing to eliminate interference factors. In mechanical data, wear of the mouse foot sticker and desktop dust will cause friction fluctuations.

And noise reduction needs to be reduced through the “sliding average filtering” (window size 50ms) and “outlier value removal” (3σ principle) algorithm; bioelectric signals (sEMG) are susceptible to electromyography interference and motion artifacts.

And “wavelet transformation” is required to separate the effective signal and noise, and then eliminate the difference in individual muscle strength through “normalization” (based on the initial state as the basis).

The processing plan of an e-sports peripheral company shows that after noise reduction, the signal-to-noise ratio of the friction data is increased from 20dB to 45dB, ensuring the accuracy of subsequent analysis.​

The integration of multi-dimensional data is a key difficulty. Operating performance data (friction, rebound), ergonomic data (pressure, electromyography).

And environmental data (temperature and humidity) need to be unified to the same timeline and association is established through the “timestamp alignment” technology (accuracy ±1ms).

For example, analyzing the “amplitude of the change in the RMS value of the user’s electromyography signal when the friction coefficient increases by 5% in high temperature environments (40°C).

Can quantify the linkage effect of the environment on “operating performance – healthy load”.

In addition, data standardization is the basis of industry collaboration – the “Poron Mouse Pad Experience Data Specification” released in 2025 defines the collection methods, unit and accuracy requirements of 18 core indicators.

For example, “dynamic friction coefficient” needs to be based on “5cm/s sliding speed and 100g pressure” to avoid the incomparable data of different companies.

Hardware acquisition: miniaturized, high-precision sensing solution

The acquisition of operating performance data depends on two types of equipment: “desktop-level mechanical testing platform” and “portable sensing module”. Desktop-level platforms such as the Instron 5944 material testing machine can accurately control pressure (accuracy ±0.1g).

Sliding speed (±0.01cm/s), and synchronously collect friction and displacement data for laboratory-level product research and development.

While portable modules are aimed at user scenario data acquisition, such as the “intelligent mouse pad tester” developed by a certain brand – an integrated micro pressure sensor (range 0-500g) and optical displacement sensor (resolution 0.001mm).

Which can be directly attached to the bottom of an ordinary mouse, recording friction and rebound data in actual use by users in real time, and the sampling frequency reaches 500Hz.

Ensuring the capture of mechanical characteristics of instantaneous operations such as “emergency stop” and “gun throwing”.​

The collection of ergonomic data requires the coordination of multiple devices. In addition to the flexible pressure sensor array mentioned above (such as the Tekscan Flexiforce series.

Which is only 0.1mm thick and can fit the surface of the Poron pad) and sEMG devices (such as the Delsys Trigno Wireless, with a sampling rate of 2000Hz, reducing cable interference).

It is also necessary to monitor the user’s arm movement trajectory in combination with an inertial measurement unit (IMU) – through the IMU module worn on the wrist (such as the MPU-9250), record the wrist angle changes (pitch angle, yaw angle) during operation.

And analyze the impact of the Poron pad thickness on the wrist’s natural posture (ideally, the wrist pitch angle should be kept at -5°~5° to avoid excessive bending).

A certain office Poron mouse pad brand found through this technology that the average pitch angle of the wrist corresponding to the 3mm thick pad is 2.3°, which is more ergonomic than the 5mm thick pad (4.8°), and the thickness parameters of office funds are optimized.​

The collection of environmental adaptation data depends on the “temperature and humidity-mechanical integrated test chamber”.

The device can accurately control temperature (-20℃~60℃, accuracy ±0.5℃), humidity (20% RH~95% RH, accuracy ±2% RH), built-in robotic arm simulates mouse sliding, and synchronously collects mechanical performance data in different environments.

The more advanced test cabin also integrates a “desktop material switching device”, which can automatically replace 6 common desktops, realize the continuous acquisition of multi-scene data, and the testing efficiency is 10 times higher than manual operation.

AI Analytics: Transformation from Data to Insights

The application of AI algorithms in experience quantification focuses on three major scenarios: “user portrait construction”, “performance prediction” and “optimization solution generation”.

The user portrait model uses clustering algorithms (such as K-Means), based on the collected operation data (sliding speed, pressure distribution) and human body data (wrist size, mouse-holding habit).

And divides users into six categories: “e-sports professional type” (high sliding speed, low pressure fluctuation), “office efficient type” (medium speed, long-term operation), and “fine design type” (low speed, high micro-operation frequency).

Each category of users corresponds to exclusive Poron parameters recommendations (such as 0.42g/cm³ high-density Poron + thick surface texture, and 0.35g/cm³ low-density Poron + fine surface texture).

After a certain brand applied this model, the product recommendation accuracy rate reached 85%, and the user satisfaction increased by 29%.​

The performance prediction model uses machine learning algorithms (such as random forests, neural networks) to predict the final user experience indicators (coefficient of friction.

Peak pressure) based on Poron material parameters (density, hardness, thickness) and environmental parameters (temperature and humidity, desktop material).

A neural network model developed by a laboratory in a university, input 5 material parameters and 3 environmental parameters to predict the friction coefficient, the error rate is ≤±2.5%.

Which is significantly improved compared with traditional empirical formulas (Error ±8%), which can shorten the product R&D cycle by 30%. The optimization solution generation is achieved through the “multi-objective genetic algorithm”.

Under the constraints such as “friction coefficient ≤0.3”, “pressure peak ≤35kPa”, and “cost ≤$28”, the parameter combinations such as Poron density, fabric material, and thickness are automatically output.

After a certain enterprise applies this algorithm, the number of parameter debugging times for new product development is reduced from 15 to 5 times.

3. Data-driven product iteration cases: from technical indicators to user value

The ultimate goal of experience quantification is to promote product iteration. The following shows how data can be converted into user-perceived value through actual cases in the three major scenarios of e-sports, offices and medical care.

Esports scenario: Professional data feeds back to mass products

The Invicta V3 Poron mouse pad launched by Razer in 2025, its iterative core originates from the collection of operational data for 12 professional e-sports teams.

Through analyzing the 2000-hour professional athlete operation log, it was found that during the CS:GO “emergency stop shooting” operation, when the mouse sliding speed plummeted from 30cm/s to 5cm/s, the friction coefficient of the traditional Poron pad fluctuated by ±6%.

Which easily led to “muzzle offset”; and the pressure peak of the player’s wrist under this operation reached 42kPa, exceeding the ergonomic safety threshold. In response to these two pain points, Razer has two optimizations: one is to adopt the “gradient density Poron structure” .

The core operating area (30cm×30cm) density is 0.45g/cm³ (improve friction stability), the edge area is 0.38g/cm³ (reduce moving resistance), and the measured friction coefficient fluctuation is reduced to ±2.1%.

The other is to superimpose a 1mm thick “slow rebound Poron layer” (Shore hardness 20 Shore OO) in the palm rest area, and the pressure peakThe value dropped to 32kPa.

After its launch, the use rate of this product in professional players increased from 35% of the V2 generation to 68%, and the subjective score of “emergency stop accuracy” for mass users increased by 41%.

Office scenario: Health data-driven function innovation

Logitech ErgoPoron’s iteration of office mouse pads relies on monitoring health data of 5,000 remote office users.

Through 6 months of sEMG and pressure data collection, it was found that 83% of users had the problem of “excessive pressure on the unilateral wrist” (the right hand user’s right hand pressure was 27% higher than that on the left hand), and after 2 hours of continuous operation.

The RMS value of the forearm electromyography signal increased by an average of 35%. Based on this.

Logitech has developed two innovative functions: one is “dynamic pressure regulation” – embedded in a micro air pump and pressure sensor inside the mouse pad to monitor the wrist pressure in real time.

When the pressure on one side exceeds 35kPa, it will automatically inflate the corresponding area (the thickness of the Poron layer increases from 3mm to 4mm) to balance the pressure on both sides.

The other is “intelligent rest reminder” – analyze the change rate of the electromyography signal through AI, and when muscle fatigue reaches the threshold (RMS value increases by 25%), it will remind the rest through a pop-up window of the computer.

And automatically adjust the softness and hardness of the Poron pad (from 25 Shore OO to 22 Shore OO) to reduce muscle load. User actual tests show that after using this product.

The unilateral pressure difference narrowed to ±8%, the increase in muscle fatigue dropped to 18%, and the office efficiency increased by 23%.

Medical scenarios: Sterile data protection and safety application

Iteration of 3M medical-grade Poron mouse pads, focusing on data balance of “sterile performance – operational stability”. Medical scenarios require that the mouse pad is resistant to alcohol wipes (≥50,000 times) and the biological load after sterilization is ≤10CFU/cm².

However, after 50,000 alcohol wipes, the friction coefficient will increase by 15%, affecting the accuracy of surgical navigation. 3M Through experimental collection of the correlation data of “wiping times – friction coefficient – sterilization effect”.

It was found that when the Poron surface was coated with a 5μm-thick PTFE nanocoat, the number of wipes was resistant to 80,000 times, and the friction coefficient increased by only ±3%.

At the same time, the “EO sterilization + gamma ray secondary sterilization” process can reduce the bioload to ≤5CFU/cm², meeting the requirements of the ICU scenario.

After being certified by the U.S. FDA, the product was used in surgical navigation systems in 100 hospitals, with operating error rates falling from ±4% to ±1.5% for traditional products and a 32% reduction in cross-infection rates.

4. Industry challenges and future trends

Although the experience quantification of Poron mouse pad has made significant progress, it still faces three major challenges: “data privacy”, “cost control” and “standard unification”, and it also fosters new opportunities for technological breakthroughs.

Existing Challenges: From Privacy Protection to Standard Collaboration

Data privacy risks are the core obstacles to user scenario collection. When collecting user operation data and bioelectric signals, it is easy to involve personal privacy (such as operating habits and health conditions).

In 2025, a brand was fined 23 million euros by the EU GDPR for not clearly informing the user’s data.

Solutions include “data anonymization” (removing user identity and retaining only behavioral characteristics), “local edge computing” (data is analyzed on the user device side and not uploading to the cloud), but this will increase technical complexity and cost.​

Cost control restricts the popularization of quantitative technology. The cost of a set of laboratory-level experience quantization equipment (including DMA, pressure sensor array, sEMG equipment) exceeds $702,685 , which is difficult for small and medium-sized brands to afford.

And the unit price of portable acquisition modules (such as smart testers) for user scenarios is about $281, which also limits large-scale user data collection.

At present, the industry is exploring the “shared test platform” model – the construction of public laboratories is led by industry associations, and small and medium-sized brands pay for the number of tests, and the cost can be reduced by 60%.​

Inconsistent standards lead to the loss of data value. Although some group standards have been released, there is still a lack of a unified experience quantitative index system worldwide (such as the definition of “ergonomic safety threshold” in different regions).

Resulting in multinational companies requiring repeated testing for different markets, increasing R&D costs by 25%.

In September 2025, ISO started the formulation of the “Guidelines for the Quantification of Human-Computer Interactive Device Experience” and is expected to be released in 2027, which is expected to solve this problem.

Future trends: Multimodal fusion and personalized dynamic adaptation

Multimodal data fusion will deepen experience understanding. In the future, experience quantification will introduce more refined physiological data.

Such as “EEG” and “Heart Rate Variability (HRV)” to analyze the impact of Poron mouse pads on users’ attention and emotional state.

For example, through EEG monitoring, it was found that when using low-reflective Poron pads, the proportion of user’s alpha brain waves (relaxation status) increased by 18%, which can reduce anxiety in e-sports scenarios.​

Personalized dynamic adaptation has become a new form of product. Combining AI model and deformable Poron technology (such as shape memory alloy + Poron composite structure), the mouse pad can adjust parameters in real time according to user operating habits.

If it is detected that the user switches from “fast gun” to “precise aiming”, the friction coefficient is automatically increased from 0.28 to 0.32; according to the user’s wrist size changes (such as wearing gloves in winter), the thickness of the Poron pad is adjusted.

A laboratory prototype product has implemented this function, with a response time of ≤0.5s and a user adaptation accuracy rate of 91%.​

Green quantification promotes sustainable development. In the future, experience quantification will add “environmental indicators” (such as carbon footprint, degradability rate).

And evaluate the environmental impact through full life cycle data (from Poron raw material production to product scrapping). For example, mouse pads using bio-based Poron materials have a carbon footprint of 58% lower than traditional products.

This data will become an important reference for user purchasing decisions and drive the industry to transform into a sustainable direction.

5. Conclusion:The quantitative revolution in experience of Poron mouse pads is essentially a deepening of “user-centrism” at the technical level

Transforming “what users need” into “how products should be done” through data, breaking the “experience dependence” of traditional R&D. For enterprises, mastering experience quantification capabilities means occupying the commanding heights of product innovation.

For users, this means being able to obtain a truly “adapted to themselves” interactive experience; for the industry, experience quantification will promote the upgrade of Poron mouse pads from “standardized products” to “personalized solutions”.

With the miniaturization of sensing technology, the popularization of AI algorithms, and the improvement of standard systems.

The experience quantification of Poron mouse pads will gradually penetrate from the high-end market to the mass market, and ultimately realize the industrial vision of “everyone has an exclusive interactive interface”.

This is also the inevitable direction for the peripheral industry to move from “technical competition” to “experience competition”.