Questionnaires are essential tools for gathering the necessary information on participants' experiences and impressions. Thus, please avoid the three following mistakes:
- Length: Too many questions (Also repeating questions between different conditions) may lead to participants losing interest and skipping questions or answering in patterns instead of honestly.
- Unclear Questions: Avoid open-ended and leading questions.
- Bias: The individual questions should be formulated neutral to ensure clear, objective answers from the participants.
For setting up the questionnaires rely on standardized questionnaires in your field of research and add your own specific questions to investigate your research objective meaningfully.
Below are different examples - in English only - you may use provided as XML files to directly load into SoSciSurvey.
Demographics
- Demographics containing gender, age, dominant hand, vision, VR frequency, and VR usage cause - please add your own questions in case you are interested in a specific feature and pre-knowledge of your participants (or as German version)
Simulator Sickness
- Simulator Sickness Questionnaire (SSQ) by Kennedy et al.
- in case SSQ is too long and simulator sickness is not in focus, we recommend the short Discomfort Score by Fernandes et al.
Presence in IVEs
- Igroup Presence Questionnaire (IPQ) (German Version) on Spatial Presence, Involvement, and Experienced Realism, see more info here
- There is also a compilation of different presence quesitonnaires by Ashutosh Singla from TU Ilmenau
Social Presence
- Temple Presence Inventory (TPI) by Lombard et al. - Attention: this questionnaire rates different scales of (tele-)presence and our file currently only provides the subscales Social Richness, Engagement (mental immersion), and Social Presence - Actor Within Medium
- Social Presence Inventory for Interactions with Embodied Virtual Agents (SPI-IEVA) is an inventory based on various standardized questionnaires, using only constructs focussing first on the users own attitudes towards the virtual agents in the scene, followed by questions detailing the experience with the virtual interaction partners. @jonathan.ehret and @Andrea.Boensch are working on and with it in particular and the questionnaire is still under construction. In case you plan on using it, please get in touch with them. Furthermore, pay attention to adapting the questions to your specific use case, as stated in the hint in the following details: SPI-IEVA.pdf (same document in Microsoft Excel: SPI-IEVA.xlsx). For evaluation, please follow the following instructions:Evaluation_of_SPI-IEVA.pdf (same document in Microsoft Word: Evaluation_of_SPI-IEVA.docx)
Workload
- NASA TLX, more information here
Spatial Awareness
|
|
|---|