Detecting receptivity for mHealth interventions in the natural environment

V Mishra, F Künzler, JN Kramer, E Fleisch… - Proceedings of the …, 2021 - dl.acm.org
Just-In-Time Adaptive Intervention (JITAI) is an emerging technique with great potential to
support health behavior by providing the right type and amount of support at the right time. A …

How may I interrupt? Linguistic-driven design guidelines for proactive in-car voice assistants

AM Meck, C Draxler, T Vogt - International Journal of Human …, 2024 - Taylor & Francis
Voice assistants (VAs) are predicted to develop from merely reactive to increasingly
proactive agents in the future. While proactivity allows a leap towards more intelligent …

Design and evaluation of a clippable and personalizable pneumatic-haptic feedback device for breathing guidance

KY Choi, N ElHaouij, J Lee, RW Picard… - Proceedings of the ACM …, 2022 - dl.acm.org
To assist people in practicing mindful breathing and regulate their perceived workload while
not disturbing the ongoing foreground task during daily routines, we developed a mobile …

Driver maneuver identification with multi-representation learning and meta model update designs

M Tabatabaie, S He, X Yang - Proceedings of the ACM on Interactive …, 2022 - dl.acm.org
Driver maneuver identification (DMI), ie, the task of predicting the driver maneuver classes
given sensor measurements (such as IMU sensors from mobile devices), can serve as a key …

TimelyTale: a multimodal dataset approach to assessing passengers' explanation demands in highly automated vehicles

G Kim, S Hwang, M Seong, D Yeo, D Rus… - Proceedings of the ACM …, 2024 - dl.acm.org
Explanations in automated vehicles enhance passengers' understanding of vehicle decision-
making, mitigating negative experiences by increasing their sense of control. These …

From Video to Hybrid Simulator: Exploring Affective Responses toward Non-Verbal Pedestrian Crossing Actions Using Camera and Physiological Sensors

S Rao, S Ghosh, GP Rodriguez, T Röggla… - … Journal of Human …, 2023 - Taylor & Francis
Capturing drivers' affective responses given driving context and driver-pedestrian
interactions remains a challenge for designing in-vehicle, empathic interfaces. To address …

Toward nonintrusive camera-based heart rate variability estimation in the car under naturalistic condition

S Liu, K Koch, Z Zhou, M Maritsch, X He… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Driver status monitoring systems are a vital component of smart cars in the future, especially
in the era when an increasing amount of time is spent in the vehicle. The heart rate (HR) is …

[HTML][HTML] Understanding the interactions between driving behavior and well-being in daily driving: causal analysis of a field study

P Stephan, F Wortmann, K Koch - Journal of medical Internet research, 2022 - jmir.org
Background Investigating ways to improve well-being in everyday situations as a means of
fostering mental health has gained substantial interest in recent years. For many people, the …

An Exploratory Study on the Impacts of Voice-Based Conversational Agents with Proactive Interactions in the Driving Context

J Shin, H Ko, SW Bae, J Kim - International Journal of Human …, 2025 - Taylor & Francis
Advanced artificial intelligence (AI)-based technologies offer great opportunities for
enhancing the driving experience. Proactive voice agents (PVAs) present benefits by being …

Exploring emotion responses toward pedestrian crossing actions for designing in-vehicle empathic interfaces

S Ghosh, G Pons Rodriguez, S Rao, A El Ali… - CHI Conference on …, 2022 - dl.acm.org
While affective non-verbal communication between pedestrians and drivers has been
shown to improve on-road safety and driving experiences, it remains a challenge to design …