Nicholas A Giudice

schoolUniversity of Mainebar_chart#1834 Global Rank

Total Papers

HCI Rank

#1834

Research Areas

Years Active

Recent Publications

Accessible Maps for the Future of Inclusive Ridesharing

For people who are blind and low vision (BLV), ridesharing provides an important means of independence and mobility. However, a common challenge relates to finding the vehicle when it arrives to an unanticipated location. Although coordinating with the driver for assistance is serviceable in the near term, new solutio…

CHI '243rd AuthorBest PaperVisual Impairment Technologies (Screen Readers, Tactile Graphics, Braille) +1

Towards Robotic Companions: Understanding Handler-Guide Dog Interactions for Informed Guide Dog Robot Design

Dog guides are favored by blind and low-vision (BLV) individuals for their ability to enhance independence and confidence by reducing safety concerns and increasing navigation efficiency compared to traditional mobility aids. However, only a relatively small proportion of BLV people work with dog guides due to their l…

CHI '24CorrespondingAR Navigation & Context Awareness +1

“X-Ray Vision” as a Compensatory Augmentation for Slowing Cognitive Map Decay in Older Adults

Safe and efficient navigation often relies on the development and retention of accurate cognitive maps that include inter-landmark relations. For many older adults, cognitive maps are difficult to form and remember over time, which introduces serious challenges for independence and mobility. To address this problem, w…

CHI '244th AuthorDeaf & Hard-of-Hearing Support (Captions, Sign Language, Vibration) +1

Spatial Audio-Enhanced Multimodal Graph Rendering for Efficient Data Trend Learning on Touchscreen Devices

Touchscreen-based rendering of graphics using vibrations, sonification, and text-to-speech is a promising approach for nonvisual access to graphical information, but extracting trends from complex data representations nonvisually is challenging. This work presents the design of a multimodal feedback scheme with integr…

HRI '23CorrespondingAutomated Driving Interface & Takeover Design +1

Expanded Situational Awareness Without Vision: A Novel Haptic Interface for Use in Fully Autonomous Vehicles

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…

CHI '235th+ AuthorAutomated Driving Interface & Takeover Design +2

Autonomous is Not Enough: Designing Multisensory Mid-Air Gestures for Vehicle Interactions Among People with Visual Impairments

Should fully autonomous vehicles (FAVs) be designed inclusively and accessibly, independence will be transformed for millions of people experiencing transportation-limiting disabilities worldwide. Although FAVs hold promise to improve efficient transportation without intervention, a truly accessible experience must en…

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