Exploring Augmented Reality HMD Telemetry Data Visualization for Strategy Optimization in Student Solar-Powered Car Racing

This article explores how different modalities of presenting telemetry data can support strategy management during solar-powered electric vehicle racing. Student team members using augmented reality head-mounted displays (AR HMD) have reported significant advantages for in-race strategy monitoring and execution, yet so far, there is no published evidence to support these claims. This study shows that there are specific situations in which various visualization modes, including AR HMDs, demonstrate improved performance for users with varying levels of experience. We analyzed racing team performance for specific in-race events extracted from free and circuit-based real race datasets. These findings were compared with results obtained in a controlled, task-based user study utilizing three visualization interface conditions. Our exploration focused on how telemetry data visualizations influenced user performance metrics such as event reaction time, decision adequacy, task load index, and usability outcomes across four event types, taking into account both the interface and participant experience level. The results reveal that while traditional web application-type visualizations work well in most cases, augmented reality has the potential to improve race performance in some of the examined free-race and circuit-race scenarios. A notable novelty and key finding of this study is that the use of augmented reality HMDs provided particularly significant advantages for less experienced participants in most of the tasks, underscoring the substantial benefits of this technology for the support of novice users.

Authors

Institutions

Publication Details

Journal
Energies
Published
2025-06-18
DOI
https://doi.org/10.3390/en18123196
Citations
1
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
2.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring Augmented Reality HMD Telemetry Data Visualization for Strategy Optimization in Student Solar-Powered Car Racing

Krzysztof Grudzień, Andrzej Romanowski, Zbigniew Chaniecki, Krzysztof Jóźwik et al.
1 citations
Energies
Human-Automation Interaction and Safety
2.44
article

Exploring Augmented Reality HMD Telemetry Data Visualization for Strategy Optimization in Student Solar-Powered Car Racing

Krzysztof Grudzień, Andrzej Romanowski, Zbigniew Chaniecki, Krzysztof Jóźwik, Jakub Forysiak, Piotr Krawiranda, Krzysztof Fudała
article en
1 citations

Abstract

This article explores how different modalities of presenting telemetry data can support strategy management during solar-powered electric vehicle racing. Student team members using augmented reality head-mounted displays (AR HMD) have reported significant advantages for in-race strategy monitoring and execution, yet so far, there is no published evidence to support these claims. This study shows that there are specific situations in which various visualization modes, including AR HMDs, demonstrate improved performance for users with varying levels of experience. We analyzed racing team performance for specific in-race events extracted from free and circuit-based real race datasets. These findings were compared with results obtained in a controlled, task-based user study utilizing three visualization interface conditions. Our exploration focused on how telemetry data visualizations influenced user performance metrics such as event reaction time, decision adequacy, task load index, and usability outcomes across four event types, taking into account both the interface and participant experience level. The results reveal that while traditional web application-type visualizations work well in most cases, augmented reality has the potential to improve race performance in some of the examined free-race and circuit-race scenarios. A notable novelty and key finding of this study is that the use of augmented reality HMDs provided particularly significant advantages for less experienced participants in most of the tasks, underscoring the substantial benefits of this technology for the support of novice users.

EnergiesVol. 18(12)
Lodz University of Technology (PL)
Openalex Percentile: Top 12%
Human-Automation Interaction and Safety
2.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.