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Author: 611
13 results

Therapy for Therapists: Design Opportunities to Support the Psychological Well-being of Mental Health Workers

On-demand mental health services—including counseling, crisis hotlines, and peer support programs—are vital to the healthcare system, providing acute and ongoing support through telephone, online, and text-based communication. Although such services have proven effective at reducing hopelessness, psychological pain, a…

AC
Aishwarya Chandrasekaran et al.University of Delaware
Session 1c: Care for the Caregivers

Designing Visual Signals to Support Situation Awareness Recovery in Conditional Automated Driving

Conditionally automated driving systems face two main safety challenges: the inability to autonomously handle all situations the vehicle encounters, and the allowed inattention of drivers during these critical moments. Our study focuses on enhancing drivers’ situation awareness at such times by embedding information a…

OL
Okkeun Lee et al.Stanford University

Driven to Distraction: Exploring Mind Wandering During a Virtual Reality City Drive

Research has characterized mind-wandering as humans' natural mental state, with moments of task-focused attention being the exception. With this framing, mind-wandering while driving likely occurs more than generally acknowledged, and seems poised to increase with higher levels of automation. This in turn may have adv…

RC
Rebecca Currano et al.Stanford University

‘Talking with your Car’: Design of Human-Centered Conversational AI in Autonomous Vehicles

The Development of Fully Autonomous Vehicles (AVs) would fundamentally change the nature of in-vehicle user interactions, behaviors, needs, and activities. Passengers free from driving would expect to undertake diverse Non-Driving-Related Tasks to keep themselves occupied. Introducing Conversational Artificial Intelli…

AR
Akshay Rege et al.Delft University of Technology
AdRecommended

Learn AI Coding at CodeNow

Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work.

Explore Nowopen_in_new

Little Road Driving HUD: Heads-Up Display Complexity Influences Drivers’ Perceptions of Automated Vehicles

Modern vehicles are using AI and increasingly sophisticated sensor suites to improve Advanced Driving Assistance Systems (ADAS) and support automated driving capabilities. Heads-Up-Displays (HUDs) provide an opportunity to visually inform drivers about vehicle perception and interpretation of the driving environment.…

RC
Rebecca Currano et al.Stanford University

On-Road and Online Studies to Investigate Beliefs and Behaviors of Netherlands, US and Mexico Pedestrians Encountering Hidden-Driver Vehicles

A growing number of studies use a “ghost-driver” vehicle driven by a person in a car seat costume to simulate an autonomous vehicle. Using a hidden-driver vehicle in a field study in the Netherlands, Study 1 (N = 130) confirmed that the ghostdriver methodology is valid in Europe and confirmed that European pedestrians…

JL
Jamy Li et al.University of Twente

Defense Against the Dark Cars: Design Principles for Griefing of Autonomous Vehicles

As autonomous vehicles (AVs) become a reality on public roads, researchers and designers are beginning to see unexpected reactions from the public ranging from curiosity to vandalism. These behaviors are concerning, as AV platforms will need to know how to deal with people behaving unexpectedly or aggressively. We cal…

DM
Dylan James Moore et al.Stanford University

Is Too Much System Caution Counterproductive? Effects of Varying Sensitivity and Automation Levels in Vehicle Collision Avoidance Systems

Autonomous vehicle system performance is limited by uncertainties inherent in the driving environment and challenges in processing sensor data. Engineers thus face the design decision of biasing systems toward lower sensitivity to potential threats (more misses) or higher sensitivity (more false alarms). We explored t…

EF
Ernestine Fu et al.Stanford University

What a Driver Wants: User Preferences in Semi-Autonomous Vehicle Decision-Making

Autonomous vehicle (AV) systems are developing at a rapid pace, not only in technological capabilities, but also in human-centered directions. Despite this development, we lack a nuanced understanding of driver preference in decision scenarios that semi-AVs will face, and of possible misalignment between semi-AV decis…

SP
So Yeon Park et al.Stanford University

The Case for Implicit External Human-Machine Interfaces for Autonomous Vehicles

Autonomous vehicles' (AVs) interactions with pedestrians remain an ongoing uncertainty. Several studies have claimed the need for explicit external human-machine interfaces (eHMI) such as lights or displays to replace the lack of eye contact with and explicit gestures from drivers, however this need is not thoroughly…

DM
Dylan James Moore et al.Stanford University

Visualizing Implicit eHMI for Autonomous Vehicles

Autonomous vehicles' (AVs) interactions with pedestrians remain an ongoing uncertainty. Studies claim the need for explicit external human-machine interfaces (eHMI) such as lights to replace the lack of eye contact with and explicit gestures from drivers. To further explore this area, we conducted a naturalistic field…

DM
Dylan James Moore et al.Stanford University

Make This! Introduction to Electronics Prototyping Using Arduino

This course is a hands-on introduction to interactive electronics prototyping for people with a variety of backgrounds, including those with no prior experience in electronics. Familiarity with programming is helpful, but not required. Participants learn basic electronics, microcontroller programming and physical prot…

DS
David Sirkin et al.Stanford University

Make This! Introduction to Electronics Prototyping Using Arduino

This course is a hands-on introduction to interactive electronics prototyping for people with a variety of backgrounds, including those with no prior experience in electronics. Familiarity with programming is helpful, but not required. Participants learn basic electronics, microcontroller programming and physical prot…

DS
David Sirkin et al.Stanford University
Paper TitleAuthorsResearch TopicsPaper DatabaseYear

Therapy for Therapists: Design Opportunities to Support the Psychological Well-being of Mental Health Workers

On-demand mental health services—including counseling, crisis hotlines, and peer support programs—are vital to the healthcare system, providing acute and ongoing support through telephone, online, and text-based communication. Although such services have proven effective at reducing hopelessness, psychological pain, a…

AC
Aishwarya Chandrasekaran et al.University of Delaware
Session 1c: Care for the Caregivers

Designing Visual Signals to Support Situation Awareness Recovery in Conditional Automated Driving

Conditionally automated driving systems face two main safety challenges: the inability to autonomously handle all situations the vehicle encounters, and the allowed inattention of drivers during these critical moments. Our study focuses on enhancing drivers’ situation awareness at such times by embedding information a…

OL
Okkeun Lee et al.Stanford University

Driven to Distraction: Exploring Mind Wandering During a Virtual Reality City Drive

Research has characterized mind-wandering as humans' natural mental state, with moments of task-focused attention being the exception. With this framing, mind-wandering while driving likely occurs more than generally acknowledged, and seems poised to increase with higher levels of automation. This in turn may have adv…

RC
Rebecca Currano et al.Stanford University

‘Talking with your Car’: Design of Human-Centered Conversational AI in Autonomous Vehicles

The Development of Fully Autonomous Vehicles (AVs) would fundamentally change the nature of in-vehicle user interactions, behaviors, needs, and activities. Passengers free from driving would expect to undertake diverse Non-Driving-Related Tasks to keep themselves occupied. Introducing Conversational Artificial Intelli…

AR
Akshay Rege et al.Delft University of Technology
AdRecommended

Learn AI Coding at CodeNow

Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work.

Explore Nowopen_in_new

Little Road Driving HUD: Heads-Up Display Complexity Influences Drivers’ Perceptions of Automated Vehicles

Modern vehicles are using AI and increasingly sophisticated sensor suites to improve Advanced Driving Assistance Systems (ADAS) and support automated driving capabilities. Heads-Up-Displays (HUDs) provide an opportunity to visually inform drivers about vehicle perception and interpretation of the driving environment.…

RC
Rebecca Currano et al.Stanford University
emoji_events

On-Road and Online Studies to Investigate Beliefs and Behaviors of Netherlands, US and Mexico Pedestrians Encountering Hidden-Driver Vehicles

A growing number of studies use a “ghost-driver” vehicle driven by a person in a car seat costume to simulate an autonomous vehicle. Using a hidden-driver vehicle in a field study in the Netherlands, Study 1 (N = 130) confirmed that the ghostdriver methodology is valid in Europe and confirmed that European pedestrians…

JL
Jamy Li et al.University of Twente

Defense Against the Dark Cars: Design Principles for Griefing of Autonomous Vehicles

As autonomous vehicles (AVs) become a reality on public roads, researchers and designers are beginning to see unexpected reactions from the public ranging from curiosity to vandalism. These behaviors are concerning, as AV platforms will need to know how to deal with people behaving unexpectedly or aggressively. We cal…

DM
Dylan James Moore et al.Stanford University
emoji_events

Is Too Much System Caution Counterproductive? Effects of Varying Sensitivity and Automation Levels in Vehicle Collision Avoidance Systems

Autonomous vehicle system performance is limited by uncertainties inherent in the driving environment and challenges in processing sensor data. Engineers thus face the design decision of biasing systems toward lower sensitivity to potential threats (more misses) or higher sensitivity (more false alarms). We explored t…

EF
Ernestine Fu et al.Stanford University
emoji_events

What a Driver Wants: User Preferences in Semi-Autonomous Vehicle Decision-Making

Autonomous vehicle (AV) systems are developing at a rapid pace, not only in technological capabilities, but also in human-centered directions. Despite this development, we lack a nuanced understanding of driver preference in decision scenarios that semi-AVs will face, and of possible misalignment between semi-AV decis…

SP
So Yeon Park et al.Stanford University

The Case for Implicit External Human-Machine Interfaces for Autonomous Vehicles

Autonomous vehicles' (AVs) interactions with pedestrians remain an ongoing uncertainty. Several studies have claimed the need for explicit external human-machine interfaces (eHMI) such as lights or displays to replace the lack of eye contact with and explicit gestures from drivers, however this need is not thoroughly…

DM
Dylan James Moore et al.Stanford University

Visualizing Implicit eHMI for Autonomous Vehicles

Autonomous vehicles' (AVs) interactions with pedestrians remain an ongoing uncertainty. Studies claim the need for explicit external human-machine interfaces (eHMI) such as lights to replace the lack of eye contact with and explicit gestures from drivers. To further explore this area, we conducted a naturalistic field…

DM
Dylan James Moore et al.Stanford University

Make This! Introduction to Electronics Prototyping Using Arduino

This course is a hands-on introduction to interactive electronics prototyping for people with a variety of backgrounds, including those with no prior experience in electronics. Familiarity with programming is helpful, but not required. Participants learn basic electronics, microcontroller programming and physical prot…

DS
David Sirkin et al.Stanford University

Make This! Introduction to Electronics Prototyping Using Arduino

This course is a hands-on introduction to interactive electronics prototyping for people with a variety of backgrounds, including those with no prior experience in electronics. Familiarity with programming is helpful, but not required. Participants learn basic electronics, microcontroller programming and physical prot…

DS
David Sirkin et al.Stanford University