Virtual Reality vs. 2D Visualizations for Software Ecosystem Dependency Analysis – A Controlled Experiment
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2024-08-30
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Background/Context: Data is typically visualized using 2-D on-
screen tools. With the advent of devices capable of creating 3D and
Virtual Reality (VR) scenes, there is a growing interest in exploring
these technologies for data visualization, particularly for complex
data like software dependencies. Despite this interest, there is lim-
ited evidence comparing VR with traditional 2D on-screen tools for
such visualizations.
Objective/Aim: This registered report aims to determine whether
comprehension of software ecosystem dependencies, visualized
through their metrics, is better when presented in VR scenes com-
pared to 2D screens. Specifically, we seek to evaluate if answers
obtained through VR visualizations are more accurate and if it
takes less time to derive these answers compared to traditional 2D
on-screen tools.
Method: We will conduct an experiment with volunteers from
various backgrounds, using two setups: a 2D on-screen tool and a
VR scene created with A-Frame. The data will focus on web projects
using the Node Package Manager (NPM) registry. Subjects will
answer a series of questions in both setups, presented in random
order. We will statistically analyze the correctness and the time
taken for their answers to compare the two visualization methods
Descripción
Registered Report de la conferencia ESEM 2024.
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