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General AI Systems and Interaction Design / Attention Orchestration in Multi-Device Environments

Low-power devices struggle to efficiently harvest energy from wireless networks simultaneously.

lightbulbPractical problemAttention Orchestration in Multi-Device Environments

Low-power devices struggle to efficiently harvest energy from wireless networks simultaneously.

UbiComp '22C-Cube: Rethinking Distributed Beamforming for Concurrent Charging in Backscatter Networks

Similar questions

lightbulbPractical problemAttention Orchestration in Multi-Device Environments

Engineers and designers struggle to analyze complex fluid material properties at low cost.

CHI '25RheoMap: Mapping Inks, Gels, Pastes, and Slurries within a Rheological Embedding Space using Retraction-Extrusion Pressure Sensor Vectors

lightbulbPractical problemAttention Orchestration in Multi-Device Environments

Users have poor reading experience and reduced efficiency when reading on phones while walking.

CHI '25Supporting Mobile Reading While Walking with Automatic and Customized Font Size Adaptations

lightbulbPractical problemAttention Orchestration in Multi-Device Environments

Passengers using HMDs in moving cars have poor experience, low efficiency, and frequent errors.

CHI '25Bumpy Ride? Understanding the Effects of External Forces on Spatial Interactions in Moving Vehicles

lightbulbPractical problemAttention Orchestration in Multi-Device Environments

Ear-worn device verification methods have poor security and are easily spoofed.

UbiComp '24EarSlide: a Secure Ear Wearables Biometric Authentication Based on Acoustic Fingerprint

lightbulbPractical problemAttention Orchestration in Multi-Device Environments

Existing WiFi sensing struggles to efficiently estimate target velocity and interferes with communication.

UbiComp '24WiFi-CSI Difference Paradigm: Achieving Efficient Doppler Speed Estimation for Passive Tracking

lightbulbPractical problemAttention Orchestration in Multi-Device Environments

Using phones or devices while cycling may affect safety and experience.

CHI '23Cyclists’ Use of Technology While on their Bike

Related papers

RheoMap: Mapping Inks, Gels, Pastes, and Slurries within a Rheological Embedding Space using Retraction-Extrusion Pressure Sensor Vectors

Hoang Vuong, Cesar Torres

Supporting Mobile Reading While Walking with Automatic and Customized Font Size Adaptations

Junhan Kong, Jacob O. Wobbrock, Tianyuan Cai

Bumpy Ride? Understanding the Effects of External Forces on Spatial Interactions in Moving Vehicles

Markus Sasalovici, Albin Zeqiri, Robin Connor Schramm

WiFi-CSI Difference Paradigm: Achieving Efficient Doppler Speed Estimation for Passive Tracking

Wenwei Li, Ruiyang Gao, Jie Xiong

Cyclists’ Use of Technology While on their Bike

Martin Porcheron, Leigh Clark, Stuart Alan Nicholson

UnMapped: Leveraging Experts' Situated Experiences to Ease Remote Guidance in Collaborative Mixed Reality

Janet G Johnson, Tommy Sharkey, Iramuali Cynthia Butarbutar

Multi-modal Multi-scale Attention Guidance in Cyber-Physical Environments

Guillermo Reyes, Alexandra Alles

Rethinking the Runway: Using Avant-Garde Fashion To Design a System for Wearables

Teddy Seyed, James Devine, Joe Finney

IM Receptivity and Presentation-type Preferences among Users of a Mobile App with Automated Receptivity-status Adjustment

Ting-Wei Wu, Yu-Ling Chien, Hao-Ping Lee