output
20142024
most citedStealing Machine Learning Models via Prediction APIs

733 citations

Showing 2024Show all

8 papers · 1 filter

cs.HC202459 cited

Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App

Subigya Nepal, Arvind Pillai, William Campbell +11

MindScape aims to study the benefits of integrating time series behavioral patterns (e.g., conversational engagement, sleep, location) with Large Language Models (LLMs) to create a…

cs.HC20246 cited

Exploring Holistic HMI Design for Automated Vehicles: Insights from a Participatory Workshop to Bridge In-Vehicle and External Communication

Haoyu Dong, Tram Thi Minh Tran, Rutger Verstegen +8

Human-Machine Interfaces (HMIs) for automated vehicles (AVs) are typically divided into two categories: internal HMIs for interactions within the vehicle, and external HMIs for com…

cs.HC2024132 cited

A Design Space for Intelligent and Interactive Writing Assistants

Mina Lee, Katy Ilonka Gero, John Joon Young Chung +33

In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities. We seek to addr…

cs.HC20249 cited

Holistic HMI Design for Automated Vehicles: Bridging In-Vehicle and External Communication

Haoyu Dong, Tram Thi Minh Tran, Pavlo Bazilinskyy +5

As the field of automated vehicles (AVs) advances, it has become increasingly critical to develop human-machine interfaces (HMI) for both internal and external communication. Criti…

cs.HC202423 cited

"It's Kind of Context Dependent": Understanding Blind and Low Vision People's Video Accessibility Preferences Across Viewing Scenarios

Lucy Jiang, Crescentia Jung, Mahika Phutane +2

While audio description (AD) is the standard approach for making videos accessible to blind and low vision (BLV) people, existing AD guidelines do not consider BLV users' varied pr…

cs.HC202416 cited

Saharaline: A Collective Social Support Intervention for Teachers in Low-Income Indian Schools

Rama Adithya Varanasi, Aditya Vashistha, Nicola Dell

This paper presents Saharaline, an intervention designed to provide collective social support for teachers in low-income schools. Implemented as a WhatsApp-based helpline, Saharali…