THEIA-XR: HMI Content List (First Version) (D4.1)

This deliverable summarizes the result of the HMI content analysis as a complementary activity that investigates contentual properties of domain specific human-machine interfaces (HMI). This analysis collected information range, high-level structure and other characteristics based on the project’s use cases snow grooming, logistics (reach stacker) and construction (excavator) elaborated within task 2.1 (see deliverable D 2.1 – Use Case Specification). Data collection was conducted using a self-developed excel template filled out by domain experts in this project. This template addresses conventional information categories as well as novel ones such as information related to automation and automation transparency and teleoperation. Data analysis compared these regarding similarities and differences, highlighting major similarities that bear the potential for cross-domain solutions. This analysis delivers insights into the architecture of HMI in the project’s tree different use cases. It highlights similarities and differences by means of covered information range and other criteria such as complexity and importance. These insights already indicating areas of high compatibility and scalability of XR HMI features between use cases. It further is the basis to identify information that can and should be augmented by XR means in the following tasks (3.2, 4.2, 4.3 and 4.4).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-23
DOI
https://doi.org/10.5281/zenodo.13983540
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
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article

THEIA-XR: HMI Content List (First Version) (D4.1)

Zenodo (CERN European Organization for Nuclear Research)
Species Distribution and Climate Change
article

THEIA-XR: HMI Content List (First Version) (D4.1)

article en

Abstract

This deliverable summarizes the result of the HMI content analysis as a complementary activity that investigates contentual properties of domain specific human-machine interfaces (HMI). This analysis collected information range, high-level structure and other characteristics based on the project’s use cases snow grooming, logistics (reach stacker) and construction (excavator) elaborated within task 2.1 (see deliverable D 2.1 – Use Case Specification). Data collection was conducted using a self-developed excel template filled out by domain experts in this project. This template addresses conventional information categories as well as novel ones such as information related to automation and automation transparency and teleoperation. Data analysis compared these regarding similarities and differences, highlighting major similarities that bear the potential for cross-domain solutions. This analysis delivers insights into the architecture of HMI in the project’s tree different use cases. It highlights similarities and differences by means of covered information range and other criteria such as complexity and importance. These insights already indicating areas of high compatibility and scalability of XR HMI features between use cases. It further is the basis to identify information that can and should be augmented by XR means in the following tasks (3.2, 4.2, 4.3 and 4.4).

Zenodo (CERN European Organization for Nuclear Research)
Technische Universität Dresden (DE)
Openalex Percentile: Top 88%
Species Distribution and Climate Change
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