ExperienceDNA

Abstract

It is often challenging to measure participants' reactions during user tests where a Wizard-of-Oz (WoZ) method is applied. This method is applied by the observers to validate functionalities of concepts that are difficult to build. In this study, a new technique is developed using virtual reality (VR) to improve the measurement of the participant's reactions during such a test. In this system, called ExperienceDNA, VR user tests can be monitored and controlled through a desktop interface. In addition, physiological trackers (eye tracking and heart rate monitoring) are used to measure what the participant is looking at and to gauge their preferences. Moreover, the use of VR allows for quick adaptations to the virtual environment the participant is confronted with. In this way, highly versatile tests can be conducted while minimising the initial setup effort. Our approach has been validated by performing a pilot test on a predefined use case. The qualitative feedback collected from analysing batches of data from the pilot test is presented in the results section. In conclusion, this paper covers the development, description and evaluation of the ExperienceDNA framework, as well as some ideas for future improvements to this framework.

Improving Postural Ergonomics during Human–Robot Collaboration Using Particle Swarm Optimization: A Study in Virtual Environment

“…The workspace is modeled using the Unity3D game engine and with the ROS# package provided by Siemens [39,40]. In this environment, a human worker and a robot collaborate to assemble products designed using the ExperienceDNA tool [41]. An HTC Vive Pro was used to interact with a virtual reality environment.…”

The impact of eye gaze on social interactions of females in virtual reality: The mediating role of the uncanniness of avatars and the moderating role of task type

“…The flow of the experiment was created via the ExperienceTwin framework [14] (see https://www.experiencetwin.org/ ), which provided the ability to customise both the visual aspects (i.e. avatar type) and procedural aspect (i.e.…”

“…Hence, the gaze direction of participants (i.e., looking at ) was recorded as soon as participants entered the VE via the HMD integrated Tobii eye-tracking hardware [10] and the SRanipal eye-tracking software development kit [11] . The ExperienceTwin framework was used to log whether the participants were looking at the monitor, at the eyes of the other avatar or at the puzzle in the collaboration task [14] . The looking at data was timestamped, which helped with synchronizing the two data files of the participant dyads, thus allowing to compute the amount of one-sided eye contact.…”