Methodology

Table of Links

Abstract and 1 Introduction

2 Related Work and 2.1 Virtual avatars

2.2 Point cloud visualization

3 Test Design and 3.1 Setup

3.2 User Representations

3.3 Methodology

3.4 Virtual Environment and 3.5 Tasks Description

3.6 Questionnaires and 3.7 Participants

4 Results and Discussion, and 4.1 User preferences

4.2 Task performance

4.3 Discussion

5 Conclusions and References

3.3 Methodology

The test was divided into eight stages: 1) introduction to the study and application of pre-test questionnaire; 2) explanation about the tasks and each of the users representations 3) adjustment of the device for comfort; 4) calibration procedure; 6) task execution; 7) application of post-test questionnaire; 8) and a semi-structured interview.

At first, we explained the test objectives. Then, the users completed a pre-use questionnaire to raise the participants profile regarding previous experience with related technologies (HMDs, virtual avatars, etc).

Subsequently, we showed a brief description of the tasks and representations used. Furthermore, we presented the users with the calibration task. This procedure was performed to calibrate the tracking system between the HMDs and the depth-sensors. Then, in order to familiarize the user with the procedures, users performed a task in a training scenario, where they could freely explore the virtual environment and familiarize themselves with the setup and each of the representations.

After performing the training task, the users reached a fixed object on the environment and the users performed the test task. Then a questionnaire was given to the users for some user experience issues. These steps were done for each of the combination of the test conditions(perspective and representation) of a total of 12 permutations. The order of the avatar representation was changed in every test, following a Latin square arrangement, to avoid biased results.