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Part 1: Document Description
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Citation |
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Title: |
Design of On-body Tactile Displays to Enhance Situation Awareness in Automated Vehicles |
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Identification Number: |
doi:10.18419/darus-2824 |
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Distributor: |
DaRUS |
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Date of Distribution: |
2022-05-02 |
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Version: |
1 |
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Bibliographic Citation: |
Chiossi, Francesco; Villa, Steeven; Hauser, Melanie; Welsch, Robin; Chuang, Lewis, 2022, "Design of On-body Tactile Displays to Enhance Situation Awareness in Automated Vehicles", https://doi.org/10.18419/darus-2824, DaRUS, V1, UNF:6:YHhX4VFGLE0o6fVxJAlldw== [fileUNF] |
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Citation |
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Title: |
Design of On-body Tactile Displays to Enhance Situation Awareness in Automated Vehicles |
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Identification Number: |
doi:10.18419/darus-2824 |
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Authoring Entity: |
Chiossi, Francesco (LMU Munich) |
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Villa, Steeven (LMU Munich) |
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Hauser, Melanie (LMU Munich) |
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Welsch, Robin (Cognitive Psychology and Human Factors, Institute of Psychology, Faculty of Behavioural and Social Sciences, Chemnitz University of Technology, Chemnitz, Germany) |
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Chuang, Lewis (Humans and Technology, Institute for Media Research, Faculty of Humanities, Chemnitz University of Technology, Chemnitz, Germany) |
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Software used in Production: |
Unity |
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Grant Number: |
251654672 |
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Distributor: |
DaRUS |
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Access Authority: |
Chiossi, Francesco |
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Access Authority: |
Chiossi, Francesco |
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Depositor: |
Chiossi, Francesco |
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Date of Deposit: |
2022-04-27 |
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Holdings Information: |
https://doi.org/10.18419/darus-2824 |
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Study Scope |
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Keywords: |
Computer and Information Science, HCI, Human-Computer Interaction, Automated Vehicle |
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Abstract: |
<p>Fatalities with semi-automated vehicles typically occur when users are engaged in non-driving related tasks (NDRTs) that compromise their situational awareness (SA). This work developed a tactile display for on-body notification to support situational awareness, thus enabling users to recognize vehicle automation failures and intervene if necessary. We investigated whether such tactile notifications support "event detection'' (SA-L1) or 2 "anticipation'" (SA-L3). Using a simulated automated driving scenario, a between-groups study contrasted SA-L1 and SA-L3 tactile notifications that respectively displayed the spatial positions of surrounding traffic or future projection of the automated vehicle's position. Our participants were engaged in an NDRT, i.e., an Operation Span Task that engaged visual working memory (WM) resources. They were instructed to intervene if the tactile display contradicted the driving scenario, thus indicating vehicle sensing failures. On a single critical trial, we introduced a failure that could have resulted in a vehicle collision. SA-L1 tactile displays of potential collision targets resulted in less subjective workload on the NDRT than SA-L3, which indicated the vehicle's future actions. These findings and qualitative questionnaire suggest that the simplicity of SA-L1 display required less mental resources, which allowed participants to better interpret sensing failures in vehicle automation.</p> <p>We make available data on intervention performance (distance, Maximum intensity, Time to Collision), WM performance (Attention and WM interference), qualitative questionnaire (NASA-TLX and SART), together with subjective questions from the semistructured interview and Unity VR environment.</p> |
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Notes: |
Unity environment available at: <a href="https://github.com/FrancescoChiossi/Supporting-SA-in-AV">https://github.com/FrancescoChiossi/Supporting-SA-in-AV</a> <br/>NASA TLX Questionnarie retrieved from : <a href="https://humansystems.arc.nasa.gov/groups/tlx/downloads/TLXScale.pdf">https://humansystems.arc.nasa.gov/groups/tlx/downloads/TLXScale.pdf</a> <br/>SART Questionnaire retrieved from : <a href="https://ext.eurocontrol.int/ehp/?q=node/1608">https://ext.eurocontrol.int/ehp/?q=node/1608</a> |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Materials |
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Unity environment available at: <a href="https://github.com/FrancescoChiossi/Supporting-SA-in-AV">https://github.com/FrancescoChiossi/Supporting-SA-in-AV</a> |
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<br/>NASA TLX Questionnarie retrieved from : <a href="https://humansystems.arc.nasa.gov/groups/tlx/downloads/TLXScale.pdf">https://humansystems.arc.nasa.gov/groups/tlx/downloads/TLXScale.pdf</a> |
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<br/>SART Questionnaire retrieved from : <a href="https://ext.eurocontrol.int/ehp/?q=node/1608">https://ext.eurocontrol.int/ehp/?q=node/1608</a> |
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Related Publications |
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Citation |
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Title: |
F. Chiossi, S. Villa, M. Hauser, R. Welsch and L. Chuang, and G. Mauris, "Design of On-body Tactile Displays to Enhance Situation Awareness in Automated Vehicles," 2022 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2021, pp. 1-6. |
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Bibliographic Citation: |
F. Chiossi, S. Villa, M. Hauser, R. Welsch and L. Chuang, and G. Mauris, "Design of On-body Tactile Displays to Enhance Situation Awareness in Automated Vehicles," 2022 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2021, pp. 1-6. |
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File Description--f111947 |
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File: Complete_dataset.tab |
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Notes: |
UNF:6:YHhX4VFGLE0o6fVxJAlldw== |
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List of Variables: |
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Variables |
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f111947 Location: |
Summary Statistics: Max. 95.0; Min. 11.0; Mean 52.857142857142854; Valid 21.0; StDev 28.515409368069246 Variable Format: numeric Notes: UNF:6:fW3L5t+meaX8YkA77HR4Og== |
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f111947 Location: |
Summary Statistics: Valid 21.0; Max. 2.0; Mean 1.4285714285714286; StDev 0.50709255283711; Min. 1.0 Variable Format: numeric Notes: UNF:6:fokIy6t4QX1hxdqpg2t78w== |
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f111947 Location: |
Summary Statistics: Valid 21.0; Min. 0.0; Mean 52.4777880952381; StDev 70.19043058410081; Max. 240.7596 Variable Format: numeric Notes: UNF:6:pyUaiiZUtj+tzW77TVDf3g== |
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f111947 Location: |
Summary Statistics: Max. 104.2471; Valid 21.0; Min. 0.0; Mean 44.107373809523814; StDev 41.564546230754225 Variable Format: numeric Notes: UNF:6:eiMLnYYTWwm2/gslD0PGlA== |
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f111947 Location: |
Summary Statistics: Mean 0.8746298015714287; Valid 21.0; Min. 0.0; StDev 1.169840509664562; Max. 4.01266 Variable Format: numeric Notes: UNF:6:GuzPx+Nwf4HpcuVJzQAMqQ== |
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f111947 Location: |
Variable Format: character Notes: UNF:6:34fJ5Vuve+PsUst/9H76cw== |
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f111947 Location: |
Variable Format: character Notes: UNF:6:35ch8hCgVq2LXEsv+CPC3w== |
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f111947 Location: |
Summary Statistics: StDev 14.558048589571797; Valid 21.0; Mean 55.45236666666666; Max. 75.8333; Min. 25.8333 Variable Format: numeric Notes: UNF:6:DklnEgNoniDB154vNtA8qQ== |
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f111947 Location: |
Summary Statistics: Min. 11.0; Max. 24.0; Valid 21.0; Mean 16.238095238095237; StDev 3.284886023970419 Variable Format: numeric Notes: UNF:6:rcGhjZYBDBQ+wzVqDDDFCA== |
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Label: |
Qualitative_Questions.pdf |
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Text: |
Qualitative Questions asked within the Semi-Structured Interview |
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Notes: |
application/pdf |