HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

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

Can sensor data effectively predict the association between psychological stress and impostor syndrome?

helpResearch questionPhysiological Signal-Based Adaptive Interaction

Can sensor data effectively predict the association between psychological stress and impostor syndrome?

UbiComp '21Fullproof: Towards the Detection of Impostor Syndrome Using Smartphone Sensors

Similar questions

helpResearch questionPhysiological Signal-Based Adaptive Interaction

How can three-dimensional relative force (including normal pressure and tangential shear force) applied by fingers to touchscreens be estimated from two-frame capacitive images?

IUI '253D Touch Force Estimation from Capacitive Images

helpResearch questionPhysiological Signal-Based Adaptive Interaction

How does jointly estimating normal pressure and shear force improve the accuracy of touch force estimation?

IUI '253D Touch Force Estimation from Capacitive Images

helpResearch questionPhysiological Signal-Based Adaptive Interaction

Can high-precision touch force input with simplified hardware be achieved using only widely available capacitive sensors?

IUI '253D Touch Force Estimation from Capacitive Images

helpResearch questionPhysiological Signal-Based Adaptive Interaction

How can integrating video, gesture, and pressure data improve teaching of complex skills such as massage in remote instruction?

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

helpResearch questionPhysiological Signal-Based Adaptive Interaction

Can virtual teaching assistants based on GPT-4 provide effective feedback by analyzing student data in real time to improve learning efficiency?

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

helpResearch questionPhysiological Signal-Based Adaptive Interaction

How do multimodal remote teaching systems compare with traditional video teaching in effectiveness and student satisfaction?

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

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