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Personality assessment in career guidance and personnel selection traditionally relies on self-report questionnaires, which are susceptible to response bias, fatigue, and intentional distortion. Game-based assessment offers a promising…

Machine Learning · Computer Science 2026-01-06 Soroush Elyasi , Arya VarastehNezhad , Fattaneh Taghiyareh

In this work we provide a couple of contributions to the analysis of longitudinal data collected by smartphones in mobile health applications. First, we propose a novel statistical approach to disentangle personalized treatment and…

The evolving landscape of online multiplayer gaming presents unique challenges in assessing the causal impacts of game features. Traditional A/B testing methodologies fall short due to complex player interactions, leading to violations of…

Applications · Statistics 2024-02-15 Yu Zhu , Zehang Richard Li , Yang Su , Zhenyu Zhao

We consider concurrent games played on graphs. At every round of a game, each player simultaneously and independently selects a move; the moves jointly determine the transition to a successor state. Two basic objectives are the safety…

Computer Science and Game Theory · Computer Science 2012-07-03 Krishnendu Chatterjee , Luca de Alfaro , Thomas A. Henzinger

Randomized experiments can be susceptible to selection bias due to potential non-compliance by the participants. While much of the existing work has studied compliance as a static behavior, we propose a game-theoretic model to study…

Machine Learning · Computer Science 2021-07-29 Daniel Ngo , Logan Stapleton , Vasilis Syrgkanis , Zhiwei Steven Wu

Behavioral health interventions, delivered through digital platforms, have the potential to significantly improve health outcomes, through education, motivation, reminders, and outreach. We study the problem of optimizing personalized…

Machine Learning · Computer Science 2024-07-19 Jackie Baek , Justin J. Boutilier , Vivek F. Farias , Jonas Oddur Jonasson , Erez Yoeli

Interactive reinforcement learning has allowed speeding up the learning process in autonomous agents by including a human trainer providing extra information to the agent in real-time. Current interactive reinforcement learning research has…

Artificial Intelligence · Computer Science 2021-09-06 Adam Bignold , Francisco Cruz , Richard Dazeley , Peter Vamplew , Cameron Foale

With today's technological advancements, mobile phones and wearable devices have become extensions of an increasingly diffused and smart digital infrastructure. In this paper, we examine mobile health (mHealth) platforms and their health…

General Economics · Economics 2021-02-18 Anindya Ghose , Xitong Guo , Beibei Li , Yuanyuan Dang

Mobile health apps are revolutionizing the healthcare ecosystem by improving communication, efficiency, and quality of service. In low- and middle-income countries, they also play a unique role as a source of information about health…

Machine Learning · Statistics 2025-01-27 Babaniyi Yusuf Olaniyi , Ana Fernández del Río , África Periáñez , Lauren Bellhouse

This paper presents a novel game prototype that uses music and motion detection as preventive medicine for the elderly. Given the aging populations around the globe, and the limited resources and staff able to care for these populations,…

Human-Computer Interaction · Computer Science 2019-06-26 Kat Agres , Simon Lui , Dorien Herremans

Promoting healthy lifestyle behaviors remains a major public health concern, particularly due to their crucial role in preventing chronic conditions such as cancer, heart disease, and type 2 diabetes. Mobile health applications present a…

Machine Learning · Computer Science 2024-05-24 Aishwarya Mandyam , Matthew Jörke , William Denton , Barbara E. Engelhardt , Emma Brunskill

We derive robust predictions in games involving flexible information acquisition, also known as rational inattention (Sims 2003). These predictions remain accurate regardless of the specific methods players employ to gather information.…

Theoretical Economics · Economics 2023-06-19 Tommaso Denti , Doron Ravid

MiBoard (Multiplayer Interactive Board Game) is an online, turnbased board game that was developed to assess the integration of game characteristics (point rewards, game-like interaction, and peer feedback) and how that might affect student…

Computer Science and Game Theory · Computer Science 2010-09-14 Justin F. Brunelle , G. Tanner Jackson , Kyle Dempsey , Chutima Boonthum , Irwin B. Levinstein , Danielle S. McNamara

Markerless Motion Capture (MoCap) using smartphone cameras is a promising approach to making exergames more accessible and cost-effective for health and rehabilitation. Unlike traditional systems requiring specialized hardware, recent…

Human-Computer Interaction · Computer Science 2025-07-10 Mathieu Phosanarack , Laura Wallard , Sophie Lepreux , Christophe Kolski , Eugénie Avril

Climbing is a popular and growing sport, especially indoors, where climbers can train on man-made routes using artificial holds. Both strength and good technique is required to successfully reach the top of a climb, and often coaches work…

Human-Computer Interaction · Computer Science 2020-01-23 Luke Storry

Users typically engage with LLMs interactively, yet most existing benchmarks evaluate them in a static, single-turn format, posing reliability concerns in interactive scenarios. We identify a key obstacle towards reliability: LLMs are…

Computation and Language · Computer Science 2024-11-08 Shuyue Stella Li , Vidhisha Balachandran , Shangbin Feng , Jonathan S. Ilgen , Emma Pierson , Pang Wei Koh , Yulia Tsvetkov

Continual learning approaches help deep neural network models adapt and learn incrementally by trying to solve catastrophic forgetting. However, whether these existing approaches, applied traditionally to image-based tasks, work with the…

Machine Learning · Computer Science 2022-06-27 Young D. Kwon , Jagmohan Chauhan , Abhishek Kumar , Pan Hui , Cecilia Mascolo

Serious games for health are designed with specific health objectives and are increasingly being used in mental health interventions. Leveraging sensor equipped handheld devices such as smartphones and smartwatches, these games can provide…

Human-Computer Interaction · Computer Science 2025-11-26 Md Mosharaf Hossan , Rifat Ara Tasnim , Farjana Z Eishita

Mobile health applications that track activities, such as exercise, sleep, and diet, are becoming widely used. While these activity tracking applications have the potential to improve our health, user engagement and retention are critical…

Computers and Society · Computer Science 2018-03-29 Zhiyuan Lin , Tim Althoff , Jure Leskovec

Long-term adherence to medication is a critical factor in preventing chronic diseases, such as cardiovascular disease. To address poor adherence, physicians may recommend adherence-improving interventions; however, such interventions are…

Optimization and Control · Mathematics 2026-02-24 Daniel Otero-Leon , Mariel Lavieri , Brian Denton , Jeremy Sussman , Rodney Hayward