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

Kuvaus

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.
Näytä enemmän

Julkaisuvuosi

2024

Aineiston tyyppi

Tekijät

Andy (Khanh Xuan) Nguyen Orcid -palvelun logo - Oikeuksienhaltija, Muu tekijä, Kuraattori, Julkaisija, Tekijä

Belle Dang - Muu tekijä, Kuraattori, Tekijä

Faaiz Gul - Muu tekijä, Tekijä

Luna Huynh - Muu tekijä, Tekijä

Projekti

Muut tiedot

Tieteenalat

Tietojenkäsittely ja informaatiotieteet; Kasvatustieteet

Kieli

englanti

Saatavuus

Saatavuutta rajoitettu

Lisenssi

Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)

Avainsanat

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

Asiasanat

elintarvikeopetus, koulutukseen hakeutuminen, lisätty todellisuus

Ajallinen kattavuus

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Liittyvät aineistot