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Omoruyi E. Atekha

dblp:341/9854 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-2348-8673ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 50% Accessibility and assistive technology · 50%
Artificial intelligence
1 paper
Autonomous driving · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Accessibility and assistive technology › assistive technology for visual impairment
non-visual access
0.712023
Expanded Situational Awareness Without Vision: A Novel Haptic Interface for Use in Fully Autonomous Vehicles · HRI 2023
Haptics and multimodal interaction › mid-air haptics
ultrasonic haptics
0.712023
Expanded Situational Awareness Without Vision: A Novel Haptic Interface for Use in Fully Autonomous Vehicles · HRI 2023

Methods — techniques the papers use, named apart from their topics

ultrasonic haptic interface · 1.3
YearPublicationVenuePosition
2023 Expanded Situational Awareness Without Vision: A Novel Haptic Interface for Use in Fully Autonomous Vehicles
abstract
This work presents a novel ultrasonic haptic interface to improve nonvisual perception and situational awareness in applications such as fully autonomous vehicles. User study results (n=14) suggest comparable performance with the dynamic ultrasonic stimuli versus a control using static embossed stimuli. The utility of the ultrasonic interface is demonstrated with a prototype autonomous small-scale robot vehicle using intersection abstractions. These efforts support the application of ultrasonic haptics for improving nonvisual information access in autonomous transportation with strong implications for people who are blind and visually impaired, accessibility, and human-in-the-loop decision making.
Paul D. S. Fink, Anas Abou Allaban, Omoruyi E. Atekha, Raymond J. Perry, Emily S. Sumner, Richard R. Corey, Velin D. Dimitrov, Nicholas A. Giudice
HRI3