DOI: 10.5281/zenodo.13736238
title: MetTLM 20NRM01 TU/e Dataset: Dependence of Temporal Frequency and Chromaticity on the Visibility of the Phantom Array Effect

description: The dataset has the following format: 20 (Participants) by 18 (= 3 Chromaticities × 6 Temporal Frequencies)

Chromaticities:              Red (R); Green (G); Warm White (W)

Temporal Frequencies: F1 = 80 Hz; F2 = 300 Hz; F3 = 600 Hz; F4 = 900 Hz; F5 = 1200 Hz; F6 = 1800 Hz.




 


 R

F1



R

F2



R

F3



R

F4



R

F5



R

F6



G

F1



G

F2



G

F3



G

F4



G

F5



G

F6



W

F1



W

F2



W

F3



W

F4



W

F5



W

F6



P01
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 


P02
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 


P03
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 


P04
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 


...
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 


P19
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 


P20
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 




Due to the fractional factorial 3 (colour) × 6 (temporal frequency) mixed design, there are some empty cells. The details are described in Table 2 of the publication.

The values in the table represent the visibility thresholds in Modulation Depth (MD). For example, the values of 0.05, 0.1, and 1 means a MD of 5%, 10% and 100% respectively.
description: This MATLAB code can be used to generate Figure 4 (together with the options of 1) printing out the coefficients and goodness-of-fit of the 3rd-order polynomial fits; 2) visualizing the peak sensitivities and peak frequencies according to the 3rd-order polynomial fits) in the publication:

Dependence of Temporal Frequency and Chromaticity on the Visibility of the Phantom Array Effect

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%                                                                                                                  % Programmer:         Xiangzhen Kong (x.kong@tue.nl)                             %                                                                                                                  



% Created on:         July 04, 2023

%                             v1

% Updated on:        July 23, 2024

%                             v2 - implemented the function to find the peak sensitivity and peak frequency

%                                  - added a flag to visualize the peak sensitivity and peak frequency

%                                  - added a flag to enable or disable the output of the coefficients and goodness-of-fit

%                                                      %                                                                                                                  % Test environment:                                                                                     %                               MATLAB R2024a                                                         %                               Windows 10 Enterprise (Version 22H2)                      % Licence:                 CC BY-NC                                                                    %                                                                                                                   %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
description: This study was part of the HTI (Human-Technology Interaction) Research Project and was partially supported by the Human-Technology Interaction (HTI) group at Eindhoven University of Technology (TU/e). 

In addition, the study was executed within the MetTLM-project (i.e,   Metrology for Temporal Light Modulation; 20NRM01) and received funding from the EMPIR (European Metrology Programme for Innovation and Research) programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.