HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

Sensing, Recognition, and Security / Physiological Signal-Based Adaptive Interaction

Users struggle to obtain efficient, accurate stress detection tools with traditional methods.

lightbulbPractical problemPhysiological Signal-Based Adaptive Interaction

Users struggle to obtain efficient, accurate stress detection tools with traditional methods.

UbiComp '21StressNAS: Affect State and Stress Detection Using Neural Architecture Search

Similar questions

lightbulbPractical problemPhysiological Signal-Based Adaptive Interaction

Touch devices struggle to support precise 3D force input, limiting complex interaction in domains such as CAD and gaming.

IUI '253D Touch Force Estimation from Capacitive Images

lightbulbPractical problemPhysiological Signal-Based Adaptive Interaction

Students learning complex skills online such as massage struggle to get detailed guidance and real-time feedback.

CHI '25Designing LLM-Powered Multimodal Instructions to Support Rich Hands-on Skills Remote Learning: A Case Study with Massage Instructors and Learners

lightbulbPractical problemPhysiological Signal-Based Adaptive Interaction

Noise-sensitive people struggle to regulate emotions and obtain support in public places.

UbiComp '24AudioBuddy: An Assistive Technology for People with Noise Sensitivity and Their Care Networks

lightbulbPractical problemPhysiological Signal-Based Adaptive Interaction

Mental health patients struggle to detect changes in their own condition in time, delaying treatment.

UbiComp '24Challenging the Standards of Mental Care: An Analysis of Self-Rating with respect to Sensor-Based State Detection

lightbulbPractical problemPhysiological Signal-Based Adaptive Interaction

Users struggle to find smart textile sensors that are aesthetically pleasing and do not compromise fabric feel.

CHI '24Loopsense: low-scale, unobtrusive, and minimally invasive knitted force sensors for multi-modal input, enabled by selective loop-meshing

lightbulbPractical problemPhysiological Signal-Based Adaptive Interaction

Pressure sensing devices are often abandoned because they do not match user preferences and fail to effectively alleviate psychological stress.

CHI '24On Stress: Combining Human Factors and Biosignals to Inform the Placement and Design of a Skin-like Stress Sensor

Related papers

3D Touch Force Estimation from Capacitive Images

Jinyang Yu, Chentao Li, Jianjiang Feng

Designing LLM-Powered Multimodal Instructions to Support Rich Hands-on Skills Remote Learning: A Case Study with Massage Instructors and Learners

Chutian Jiang, Yinan FAN, Junan Xie

Loopsense: low-scale, unobtrusive, and minimally invasive knitted force sensors for multi-modal input, enabled by selective loop-meshing

Roland Aigner, Mira Alida Haberfellner, Michael Haller

On Stress: Combining Human Factors and Biosignals to Inform the Placement and Design of a Skin-like Stress Sensor

Yasser Khan, Matthew Louis Mauriello, Parsa Nowruzi

Momentary Stressor Logging and Reflective Visualizations: Implications for Stress Management with Wearables

Sameer Neupane, Mithun Saha, Nasir Ali

PressurePick: Muscle Tension Estimation for Guitar Players Using Unobtrusive Pressure Sensing

Andreas Rene Fender, Derek Alexander Witzig, Max Möbus

spaceR: Knitting Ready-Made, Tactile, and Highly Responsive Spacer-Fabric Force Sensors for Continuous Input

Roland Aigner, Mira Alida Haberfellner, Michael Haller

Data Engagement Reconsidered: A Study of Automatic Stress TrackingTechnology in Use

Xianghua(Sharon) Ding, Shuhan Wei, Xinning Gui

Project Tasca : Enabling Touch and Contextual Interactions with a Pocket-based Textile Sensor

Te-Yen Wu, Zheer Xu, Xing-Dong Yang

Health Data in Fertility Care: An Ecological Perspective

Mayara Costa Figueiredo, Yunan Chen