Functional Now, Wearable Later: Examining the Design Practices of Wearable Technologists

R Pettys-Baker, ME Clarke, B Holschuh - Proceedings of the 2024 ACM …, 2024 - dl.acm.org
Making a body-worn device wearable is a deceptively difficult challenge: it is not enough to
make a functional device and simply put it on the body; it must also work with the wearer to …

Modeling Attentive Interaction Behavior for Web Content Identification in Exploratory Information Seeking

R Zhu, C Cheng, Y Song, ZM Cai - … of the ACM on Interactive, Mobile …, 2024 - dl.acm.org
Extracting and collecting information during web exploration is an arduous process,
demanding substantial cognitive and physical effort from users. Users must not only …

Can Large Language Models Be Good Companions? An LLM-Based Eyewear System with Conversational Common Ground

Z Xu, H Xu, Z Lu, Y Zhao, R Zhu, Y Wang… - Proceedings of the …, 2024 - dl.acm.org
Developing chatbots as personal companions has long been a goal of artificial intelligence
researchers. Recent advances in Large Language Models (LLMs) have delivered a practical …

Empowering Smart Glasses with Large Language Models: Towards Ubiquitous AGI

D Zhang, Y Li, Z He, X Li - Companion of the 2024 on ACM International …, 2024 - dl.acm.org
Smart glasses, augmented by advances in multimodal Large Language Models (LLMs), are
at the forefront of creating ubiquitous Artificial General Intelligence (AGI). This short literature …

Reading ability detection using eye-tracking data with LSTM-based few-shot learning

N Li, H Wang, Z Zhan - arXiv preprint arXiv:2409.08798, 2024 - arxiv.org
Reading ability detection is important in modern educational field. In this paper, a method of
predicting scores of reading ability is proposed, using the eye-tracking data of a few subjects …