KAI

KAI - Embodied AI in Mixed Reality for Education Pilot Data - AI Ethics

Description

This dataset includes multimodal data collected from 26 higher education students (8 male, 18 female; 22 master’s and 4 doctoral students) who participated in a structured 30-minute session. The session comprised a 20-minute interactive discussion with Kai, an operational prototype focused on topics about AI ethics, preceded by a 5-minute orientation to the virtual environment and controls, and concluded with a 5-minute oral assessment. The study utilized a Quest3 headset for the interaction. The procedure began with each consenting participant completing a pre-questionnaire to collect demographic information, background data, and prior experiences with Generative AI (GenAI) and Extended Reality (XR) applications, including Mixed Reality (MR) and Virtual Reality (VR). The Partner Model Questionnaire (Doyle, 2022) was administered both before and after the interaction to assess participants’ perceptions of the GenAI agent as a speech interface. Participants were provided with a brief explanation of the task by the researcher before being guided to the designated setup area. In this area, participants were assisted in wearing the Quest3 headset and positioned in front of two TP-LINK Tapo C225 video cameras, which recorded the session from third-person perspectives capturing full-body movements. Additionally, the Quest3’s built-in first-person view camera recorded the interaction from the participant's perspective, creating a comprehensive multimodal dataset.
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Year of publication

2024

Authors

Andy (Khanh Xuan) Nguyen Orcid -palvelun logo - Rights holder, Contributor, Curator, Publisher, Creator

Belle Dang - Contributor, Curator, Creator

Faaiz Gul - Contributor, Creator

Luna Huynh - Contributor, Creator

Other information

Fields of science

Computer and information sciences; Educational sciences

Language

English

Open access

Restricted access

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Keywords

education, Multimodal Data, self-regulated learning, Active Learning, Generative AI

Subject headings

mixed reality, applying for education, augmented reality
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