"Text + Eye" on Autonomous Taxi to Provide Geospatial Instructions to Passenger

While text-based external human-machine interface (eHMI) is widely accepted, one limitation is the lack of capability to communicate spatial information such as a different person or location. We built a mixed-eHMI using "eye" as a target-specifier when "text" shows the clear intention to their communication partners. We conducted a pre-experimental observation to develop two testbed scenarios, followed by a video-based user study via life-size projection with a real-car prototype mounted a text display and a set of robotic eyes. The results demonstrated that our proposed "text + eye" combination may represent geospatial information by increasing the success pick-up rate.

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Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1145/3687272.3690906
Citations
1
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.20
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article

"Text + Eye" on Autonomous Taxi to Provide Geospatial Instructions to Passenger

Stela H. Seo, Xinyue Gui, Manabu Tsukada, Ehsan Javanmardi et al.
1 citations
Transportation and Mobility Innovations
0.20
article

"Text + Eye" on Autonomous Taxi to Provide Geospatial Instructions to Passenger

Stela H. Seo, Xinyue Gui, Manabu Tsukada, Ehsan Javanmardi, Chia-Ming Chang, Takeo Igarashi, Vishal Chauhan
article en
1 citations

Abstract

While text-based external human-machine interface (eHMI) is widely accepted, one limitation is the lack of capability to communicate spatial information such as a different person or location. We built a mixed-eHMI using "eye" as a target-specifier when "text" shows the clear intention to their communication partners. We conducted a pre-experimental observation to develop two testbed scenarios, followed by a video-based user study via life-size projection with a real-car prototype mounted a text display and a set of robotic eyes. The results demonstrated that our proposed "text + eye" combination may represent geospatial information by increasing the success pick-up rate.

Kyoto University (JP), Kyoto College of Graduate Studies for Informatics (JP), Preferred Networks (Japan) (JP), The University of Tokyo (JP)
Openalex Percentile: Top 48%
Transportation and Mobility Innovations
0.20
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"Text + Eye" on Autonomous Taxi to Provide Geospatial Instructions to Passenger — Stela H. Seo, Xinyue Gui, et al. · (2024) | TGRS Research Map | TGRS