Augmented reality concepts for pedestrian-vehicle interactions: An online study

W. Tabone; R. Happee; Jorge  García De Pedro; Yee Mun Lee; M.L. Lupetti; Natasha Merat; J.C.F. de Winter

Augmented reality concepts for pedestrian-vehicle interactions: An online study

W. Tabone
, R. Happee
, Jorge García De Pedro
, Yee Mun Lee
, M.L. Lupetti
, Natasha Merat
, J.C.F. de Winter

Research output: Contribution to conference › Poster › Scientific

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Abstract

Nine AR interfaces designed using an experience- based, and theoretically informed design approach, were presented in an online questionnaire for user evaluation.
Statistical analysis of presented measures, and the computation of an overall composite score revealed a preference towards traditional and familiar traffic elements.

Original language	English
Publication status	Published - 2022
Event	13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022) - New York, United States Duration: 24 Jul 2022 → 28 Jul 2022

Conference

Conference	13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022)
Country/Territory	United States
City	New York
Period	24/07/22 → 28/07/22

Keywords

online study
vehicle
automated
vulnerable road users
Augmented Reality
pedestrians
interaction

Access to Document

AHFE_2022_Wilbert_TaboneFinal published version, 3.51 MB

Shape-IT: Shape-IT: Supporting the interaction of Humans and Automated vehicles: Preparing for the EnvIronment of Tomorrow
de Winter, J. C. F. (Participant), Tabone, W. (Participant), Berge, S. H. (Participant), He, X. (Participant), Kalantari, A. H. (Participant), Dodou, D. (Participant), Happee, R. (Participant), Lupetti, M. L. (Participant) & Hagenzieker, M. P. (Participant)
1/10/19 → 31/03/24
Project: Research

Cite this

@conference{b8cde1ceecaf4aa6b19df1051c001105,

title = "Augmented reality concepts for pedestrian-vehicle interactions: An online study",

abstract = "Nine AR interfaces designed using an experience- based, and theoretically informed design approach, were presented in an online questionnaire for user evaluation. Statistical analysis of presented measures, and the computation of an overall composite score revealed a preference towards traditional and familiar traffic elements.",

keywords = "online study, vehicle, automated, vulnerable road users, Augmented Reality, pedestrians, interaction",

author = "W. Tabone and R. Happee and \{Garc{\'i}a De Pedro\}, Jorge and Lee, \{Yee Mun\} and M.L. Lupetti and Natasha Merat and \{de Winter\}, J.C.F.",

year = "2022",

language = "English",

note = "13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022) ; Conference date: 24-07-2022 Through 28-07-2022",

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T1 - Augmented reality concepts for pedestrian-vehicle interactions: An online study

AU - Tabone, W.

AU - Happee, R.

AU - García De Pedro, Jorge

AU - Lee, Yee Mun

AU - Lupetti, M.L.

AU - Merat, Natasha

AU - de Winter, J.C.F.

PY - 2022

Y1 - 2022

N2 - Nine AR interfaces designed using an experience- based, and theoretically informed design approach, were presented in an online questionnaire for user evaluation. Statistical analysis of presented measures, and the computation of an overall composite score revealed a preference towards traditional and familiar traffic elements.

AB - Nine AR interfaces designed using an experience- based, and theoretically informed design approach, were presented in an online questionnaire for user evaluation. Statistical analysis of presented measures, and the computation of an overall composite score revealed a preference towards traditional and familiar traffic elements.

KW - online study

KW - vehicle

KW - automated

KW - vulnerable road users

KW - Augmented Reality

KW - pedestrians

KW - interaction

M3 - Poster

T2 - 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022)

Y2 - 24 July 2022 through 28 July 2022

ER -

Augmented reality concepts for pedestrian-vehicle interactions: An online study

Abstract

Conference

Keywords

Access to Document

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Projects

Shape-IT: Shape-IT: Supporting the interaction of Humans and Automated vehicles: Preparing for the EnvIronment of Tomorrow

Cite this