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Decision Support Study of User behaviour in an Image Sensor-based Hardware System

Assessment & Prediction of user behaviour related to image software feature updates in a System Prototype

Input:

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Algorithm:

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Output:

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Problem Definition

Correlation and Descriptive studies design

Design Definition: Given the concern about triggering a change in user behavior  by adding an accessory to the system prototype a study to estimate the response of the user was conducted. The user`s satisfaction, interface usefulness, interface quality and a proposed change shown in a mockup image were shown to the survey subjects assigned in the dataset. Some design assumptions were adopted for the experiment.

Inputs

Inputs: Curated cross sectional dataset deidentified LG Aristo 3 LM-X220MA , front camera: 4.92MP (megapixels), Android version 9,USB 2.0,Micro usb, USB 2.0 cable, Firmware version 1.0,Video: 1920 x 1080 pixels,Image: 4160 x 3120 pixels, Camera Resolution: 13 MP, input jpeg or mpeg images. Front camera sensor  location on the device might be changed during prototyping. This feature will be developed using Machine Learning.

Algorithm

Algorithm: Data Extraction,inclusion/exclusion criteria, Python script made up of looping algorithm, PyCharmIDE, Regular expressions: regex, R, RStudio, Exif tool by Phil Harvey, project management, Trello

Outputs

Outputs: Renamed txt file containing extracted variables. Curated structured dataset with categorical and continuous variables.

Project Overview

Schematic overview and project execution pipeline

Study design features and variables

Raw and processed variables from image logfiles

Study design results

Completely randomized experimental design model and results

Distribution of measures of central tendency and skewness

Completely randomized experiment generalized ANOVA where number of independent variable groups >= 2

Distribution of user camera utilisation rate by type of User task


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Distribution of Scatter

In this A/B experiment, the monthly utilisation rate remains similar before and after the feature change.

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