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Travel, Driving, and Mobile Situations / Mobile Context Interaction Design

Driving assistance systems cannot accurately recognize driver behavior across different cities and devices.

lightbulbPractical problemMobile Context Interaction Design

Driving assistance systems cannot accurately recognize driver behavior across different cities and devices.

UbiComp '22Driver Maneuver Identification with Multi-Representation Learning and Meta Model Update Designs

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Passengers distrust autonomous vehicle explanations, reducing acceptance and sense of safety.

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Players in open-world games easily get lost or miss navigation cues, affecting experience.

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Users of mobility aids struggle to travel safely due to sidewalk obstacles.

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Urban robots cannot navigate smoothly in complex environments, affecting efficiency and order.

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Navigation apps struggle to adapt to users' diverse and dynamically changing needs.

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Drivers' emotions may affect driving efficiency and road safety, yet emotion recognition technology is difficult to translate into practical design.

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What Did My Car Say? Impact of Autonomous Vehicle Explanation Errors and Driving Context On Comfort, Reliance, Satisfaction, and Driving Confidence

Robert A Kaufman, Aaron Broukhim, David Kirsh

Pathways of Desire: Enhancing Navigation and Sense of Community Through Player-Generated Desire Paths

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Accessibility for Whom? Perceptions of Mobility Barriers Across Disability Groups and Implications for Designing Personalized Maps

Chu Li, Rock Yuren Pang, Delphine Labbé

The Robotability Score: Enabling Harmonious Robot Navigation on Urban Streets

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Emotion-aware Design in Automobiles: Embracing Technology Advancements to Enhance Human-vehicle Interaction

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Describing Explored Places through OpenStreetMap Data

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Curves Ahead: Enhancing the Steering Law for Complex Curved Trajectories

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What's the Rush?: Alternative Values in Navigation Technologies for Urban Placemaking

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Reducing Search Space on Demand Helps Older Adults Find Mobile UI Features Quickly, on Par With Younger Adults

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

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