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Drug-drug interaction prediction is a crucial issue in molecular biology. Traditional methods of observing drug-drug interactions through medical experiments require significant resources and labor. This paper presents a medical knowledge…

Computation and Language · Computer Science 2024-07-29 Peng Gao , Feng Gao , Jian-Cheng Ni , Yu Wang , Fei Wang

The application of games as a therapeutic tool for cognitive training is beneficial for patients with cognitive impairments. However, effective game design for individual patient is resource-intensive. To this end, we propose an LLM-powered…

Human-Computer Interaction · Computer Science 2026-04-14 Jingwei Shi , Shengyu Tao , Xinxiang Yin , Chen Huang , Wenqiang Lei , See-Kiong Ng

As mobile devices become more and more popular, mobile gaming has emerged as a promising market with billion-dollar revenues. A variety of mobile game platforms and services have been developed around the world. A critical challenge for…

Machine Learning · Computer Science 2019-01-21 Xi Liu , Muhe Xie , Xidao Wen , Rui Chen , Yong Ge , Nick Duffield , Na Wang

Medication adherence is critical for the recovery of adolescents and young adults (AYAs) who have undergone hematopoietic cell transplantation (HCT). However, maintaining adherence is challenging for AYAs after hospital discharge, who…

Machine Learning · Computer Science 2025-05-22 Ziping Xu , Hinal Jajal , Sung Won Choi , Inbal Nahum-Shani , Guy Shani , Alexandra M. Psihogios , Pei-Yao Hung , Susan Murphy

Making music with other people is a social activity as well as an artistic one. Music therapists take advantage of the social aspects of music to obtain benefits for the patients, interacting with them musically, but this activity requires…

Multimedia · Computer Science 2022-09-01 Filippo Carnovalini , Antonio Rodà , Paolo Caneva

Mobile crowdsensing (MCS) is a promising distributed sensing paradigm for future wireless networks, where MCS platforms (MCSPs) recruit mobile units (MUs) through monetary incentives for sensing data collection. While most existing studies…

Networking and Internet Architecture · Computer Science 2026-05-06 Sumedh J. Dongare , Christo Kurisummoottil Thomas , Andrea Ortiz , Walid Saad , Anja Klein

Pervasive health games have a potential to impact health-related behaviors. And, similar to other types of interventions, engagement and adherence in health games is the keystone for examining their short- and long-term effects. Many…

Human-Computer Interaction · Computer Science 2021-06-28 Magy Seif El-Nasr , Shree Durga , Mariya Shiyko , Carmen Sceppa

Successful robot-mediated rehabilitation requires designing games and robot interventions that promote healthy motor practice. However, the interplay between a given user's neuromotor behavior, the gaming interface, and the physical robot…

Robotics · Computer Science 2026-03-12 Ajay Anand , Gabriel Parra , Chad A. Berghoff , Laura A. Hallock

We study strategic interaction in data-driven games where players face uncertainty about payoff distributions inferred from finite samples. To model calibrated attitudes toward such uncertainty, we formulate distributionally robust games…

Computer Science and Game Theory · Computer Science 2026-05-28 Bharat Gangwani , Arunesh Sinha

Active perception approaches select future viewpoints by using some estimate of the information gain. An inaccurate estimate can be detrimental in critical situations, e.g., locating a person in distress. However the true information gained…

Robotics · Computer Science 2026-04-17 Siming He , Yuezhan Tao , Igor Spasojevic , Vijay Kumar , Pratik Chaudhari

Unsupervised therapy after stroke is a promising way to boost therapy dose without significantly increasing the workload on healthcare professionals. However, it raises important challenges, such as lower adherence to therapy in the absence…

Problematic smartphone use negatively affects physical and mental health. Despite the wide range of prior research, existing persuasive techniques are not flexible enough to provide dynamic persuasion content based on users' physical…

Computation and Language · Computer Science 2024-02-29 Ruolan Wu , Chun Yu , Xiaole Pan , Yujia Liu , Ningning Zhang , Yue Fu , Yuhan Wang , Zhi Zheng , Li Chen , Qiaolei Jiang , Xuhai Xu , Yuanchun Shi

Game-based technologies and mobile learning aids open up many opportunities for learners; however, evidence-based decisions on their appropriate use are necessary. This explorative study (N = 100) examines the role of game elements in…

Human-Computer Interaction · Computer Science 2018-11-27 Heinrich Söbke , Maria Reichelt

As online educational technology products have become increasingly prevalent, rich evidence indicates that learners often find it challenging to establish regular learning habits and complete their programs. Concurrently, online products…

General Economics · Economics 2024-01-04 Keshav Agrawal , Susan Athey , Ayush Kanodia , Emil Palikot

Medication adherence is a problem of widespread concern in clinical care. Poor adherence is a particular problem for patients with chronic diseases requiring long-term medication because poor adherence can result in less successful…

Methodology · Statistics 2021-04-26 Kristen B. Hunter , Mark E. Glickman , Luis F. Campos

There is a growing interest in using a longitudinal observational databases to detect drug safety signal. In this paper we present a novel method, which we used online during the OMOP Cup. We consider homogeneous ensembling, which is based…

Machine Learning · Statistics 2011-10-05 Vladimir Nikulin

Recent Vision-Language Models (VLMs) exhibit strong perceptual reasoning abilities, yet they often struggle to adapt efficiently when encountering novel tasks at test time. In contrast, humans leverage the metacognitive model with memory,…

Artificial Intelligence · Computer Science 2025-12-01 Yang Li , Zhiyuan He , Yuxuan Huang , Zhuhanling Xiao , Chao Yu , Meng Fang , Kun Shao , Jun Wang

Understanding how players interact with the mobile game app on smartphone devices is important for game experts to develop and refine their app products. Conventionally, the game experts achieve their purposes through intensive user studies…

Human-Computer Interaction · Computer Science 2021-10-19 Quan Li , Haipeng Zeng , Zhenhui Peng , Xiaojuan Ma

The micro-randomized trial (MRT) is an experimental design that can be used to develop optimal mobile health interventions. In MRTs, interventions in the form of notifications or messages are sent through smart phones to individuals,…

Methodology · Statistics 2022-02-14 Shuangning Li , Stefan Wager

Studies of human cognition often rely on brief, highly controlled tasks that emphasize group-level effects but poorly capture the rich variability within and between individuals. A suite of minigames built on the novel pixelDOPA platform…

Human-Computer Interaction · Computer Science 2026-02-12 Dom CP Marticorena , Zeyu Lu , Chris Wissmann , Yash Agarwal , David Garrison , John M Zempel , Dennis L Barbour