Gaming Response Test

How does a gamer react when hooked under the CHIRON system ? Including a lucky mistake

ARH

10/27/20222 min read

Introduction

The gaming aspect was self-tested with a fast-paced isometric (viewed from top) shooting game (The Ascent). The overall experience was a positive one (vis-a-vis) the baseline. This is where the monitoring gets interesting:

While playing the game, we had a ‘buggy’ instance. The breakdown of the different sections of the session is shown below, RMSSD was individually calculated for each section to provide a comparative view. Upon killing the boss, the objective did not update causing a mounting frustration. The game was then reset. This part of the monitoring shows the highest rise in RMSSD in the entire 30 minutes monitoring session and lasted less than 1 minute! And going to the boss again shows that the RMSSD was still at a high level but the second time the boss was fought, the bug did not appear and upon ‘clearing the objective’, the RMSSD went down to the lowest value in the entire 30 minute session! Also, the overall experience was positive compared to the baseline but individual ‘sections’ can be identified to provide insightful information which is the commercial basis for the application of our monitoring module.

What is more surprising is that there are no visible visual facial change for the ‘emotion’ experienced (if you refer to the first video and goes to the time that the game is being restart). Another plus point.

Breaking down a 30+ mins experience based on the events to measure is critical in understanding how the subject is reacting progressively. Also, we found that it was a good practice to break an experience based on the length of baseline monitoring at most. So if your baseline was recorded for 4 minutes, scanned sections should have intervals of 4 minutes or less. In some cases, the experience is lengthier and the experience length should take priority (.i.e. more than 4 minutes). At an extreme, we can also sample the event in 30-seconds sections providing the most insights during the monitoring sessions. The complexity and time processing are reflected accordingly.

Link to screen-recording with live-commentary (in Creole): https://youtu.be/4HAimkOFHRY