Evidence map›Paper›PMID 42052215›Full record

ArticleFrontiers in artificial intelligence2026

Open Auditorium-A human-centric extended reality blended learning tool.

Werner Alexander Isop

Abstract read
In one paragraph

Article in Frontiers in artificial intelligence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Werner Alexander IsopIndependent Researcher, Graz, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growing interest in extended reality and artificial intelligence (AI) over the past decade has led to the development of a variety of powerful methods with considerable potential for blended learning. However, with great power comes great responsibility. To date, blended learning tools still struggle with the incorporation of practical regulations, preserving natural human presence in the use of AI systems (AIS). This article introduces Open Auditorium (OA), an extended reality blended learning (XR-BL) tool with human-centric ethical conditions of use (COU). Building on conceptual guidelines from previous studies, OA requires educators and learners to be natural human actors, while AIS assume vital yet strictly supportive roles. Furthermore, OA combines a diverse range of input modalities and interactions from pedagogy, extended reality and AI with blended learning. Designed for researchers, educators, and learners, OA aims to make research, teaching, and learning more interactive and expressive. The software architecture of OA is based on the Robot Operating System (ROS) and open source, providing a modular tool that encourages further community-driven research and development. This technology and code article summarizes key design steps, essential features, hardware and software architecture, and implementation of the tool, including a comparison between selected ethical and unethical use cases. Ultimately, this work could provide a reference for the design and implementation of future similar tools and help decision-makers to facilitate a responsible use of AIS in education.

Indexed as

AI systemsblended learningextended realityhuman-centricOpen Auditoriumrobot operating system

Identifiers

PMID42052215
PMCPMC13111281

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.