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Fighting Boredom in Recommender Systems with Linear Reinforcement Learning

Romain Warlop, Alessandro Lazaric, Jérémie Mary
2018 Neural Information Processing Systems  
A common assumption in recommender systems (RS) is the existence of a best fixed recommendation strategy.  ...  In this paper, we first cast the problem as a Markov decision process, where the rewards are a linear function of the recent history of actions, and we show that a policy considering the long-term influence  ...  Linear Upper-Confidence bound for Reinforcement Learning The Learning Algorithm.  ... 
dblp:conf/nips/WarlopLM18 fatcat:57q5c5qdarah7m5gz673oezv2m

Video Game Addiction in Children and Teenagers in Taiwan

Shao-I Chiu, Jie-Zhi Lee, Der-Hsiang Huang
2004 CyberPsychology & Behavior  
Video game addiction in children and teenagers in Taiwan is associated with levels of animosity, social skills, and academic achievement.  ...  Family function, sensation seeking, gender, and boredom have statistically positive relationships with levels of social skills.  ...  Boredom means lacks of life stimulation and human communication to produce emptiness, reinforcing the theoretical idea of the relationship between boredom and social skills.  ... 
doi:10.1089/1094931042403127 fatcat:tpb26kf4yndejdctk3o2gdklpu

Video Game Addiction in Children and Teenagers in Taiwan

Shao-I Chiu, Jie-Zhi Lee, Der-Hsiang Huang
2004 CyberPsychology & Behavior  
Video game addiction in children and teenagers in Taiwan is associated with levels of animosity, social skills, and academic achievement.  ...  Family function, sensation seeking, gender, and boredom have statistically positive relationships with levels of social skills.  ...  Boredom means lacks of life stimulation and human communication to produce emptiness, reinforcing the theoretical idea of the relationship between boredom and social skills.  ... 
doi:10.1089/cpb.2004.7.571 pmid:15667052 fatcat:dmecgw7jazeavpcsstgbwtclum

Profiling sympathetic arousal in a physics course: How active are students?

H.J. Pijeira-Díaz, H. Drachsler, P.A. Kirschner, S. Järvelä
2018 Journal of Computer Assisted Learning  
The SNS is the control system for the so-called fight-or-flight response, which reflects a state of activation.  ...  This picture of pervasive low arousal in the classroom, in general, is aligned with a similar finding from a study involving three computer-based learning environments (Baker et al., 2010) , where boredom  ... 
doi:10.1111/jcal.12271 fatcat:nwwo3qzqpjc6zh66ppsvh2qrai

Fatigue-aware Bandits for Dependent Click Models [article]

Junyu Cao, Wei Sun, Zuo-Jun Shen, Markus Ettl
2020 arXiv   pre-print
As recommender systems send a massive amount of content to keep users engaged, users may experience fatigue which is contributed by 1) an overexposure to irrelevant content, 2) boredom from seeing too  ...  To address this problem, we consider an online learning setting where a platform learns a policy to recommend content that takes user fatigue into account.  ...  Fighting boredom in recommender systems with linear reinforcement learning. In Advances in Neural Information Processing Systems, 1757-1768.  ... 
arXiv:2008.09733v1 fatcat:h5llaawau5gu3f4qvlykemsdsu

Distributed Learning: Sequential Decision Making in Resource-Constrained Environments [article]

Udari Madhushani, Naomi Ehrich Leonard
2020 arXiv   pre-print
We study cost-effective communication strategies that can be used to improve the performance of distributed learning systems in resource-constrained environments.  ...  For distributed learning in sequential decision making, we propose a new cost-effective partial communication protocol.  ...  ACKNOWLEDGEMENT This research has been supported in part by ONR grants N00014-18-1-2873 and N00014-19-1-2556 and ARO grant W911NF-18-1-0325.  ... 
arXiv:2004.06171v1 fatcat:s6naigg6unapffyepwtkejdxsa

Temporal Game Challenge Tailoring

Alexander Zook, Mark O. Riedl
2015 IEEE Transactions on Computational Intelligence and AI in Games  
Designers, however, lack ways to ensure challenges are suitably tailored to the abilities of each game player, often resulting in player boredom or frustration.  ...  Our studies show tensor factorization scales in multiple game-relevant data dimensions, can be used for modestly effective game adaptation, and can predict divergent player learning trends.  ...  Machine learning player models have used clustering and support-vector machines with combat effectiveness features in an action RPG [2] , reinforcement learning with puzzle game state and choice alternatives  ... 
doi:10.1109/tciaig.2014.2342934 fatcat:5fuera3nnrh5xdwmz545mqhzae

Examining Theoretical Predictors of Substance Use Among a Sample of Incarcerated Youth

Kelly Cooper, David May, Irina Soderstrom, G. Roger Jarjoura
2009 Journal of Offender Rehabilitation  
For example, Hoffman (2003) determined that involvement in some delinquent activity (e.g., fighting, getting suspended or expelled from school, getting arrested) was associated with key variables from  ...  Consequently, it should be noted early in adolescence that this compulsion and reward system exists.  ... 
doi:10.1080/10509670903287675 fatcat:2cxgg5f2yzdqhkmy6gfxupnqoe

Deploying learning materials to game content for serious education game development: A case study

Harits Ar Rosyid, Matt Palmerlee, Ke Chen
2018 Entertainment Computing  
In SEG development, there are normally two spaces to be taken into account: knowledge space regarding learning materials and content space regarding games to be used to convey learning materials.  ...  This SEG game has been tested with a number of users, and the user survey suggests our method works reasonably well.  ...  Therefore, it can prevent boredom growing when the player needs to re-playing SEG with the same learning task. Additionally, we recommend the mapping process serves the following steps.  ... 
doi:10.1016/j.entcom.2018.01.001 fatcat:wt25hqbbpff5vl62hpjghsjhjy

Nationwide Deployment of a Serious Game Designed to Improve COVID-19 Infection Prevention Practices in Switzerland: Prospective Web-Based Study (Preprint)

Melanie Suppan, Loric Stuby, Stephan Harbarth, Christophe Fehlmann, Sophia Achab, Mohamed Abbas, Laurent Suppan
2021 JMIR Serious Games  
to recommend its use to friends or colleagues.  ...  This fully-automated prospective web-based study, compliant with the Checklist for Reporting Results of Internet E-Surveys (CHERRIES), was conducted in all 3 main language regions of Switzerland.  ...  As the serious game was not embedded in a learning management system, we were unable to define the exact moment at which participants chose to drop out, and we were unable to gather information related  ... 
doi:10.2196/33003 pmid:34635472 pmcid:PMC8623323 fatcat:5rzzkpqe2rduxhh3kphmgvwprm

Addressing the Long-term Impact of ML Decisions via Policy Regret [article]

David Lindner and Hoda Heidari and Andreas Krause
2021 arXiv   pre-print
Machine Learning (ML) increasingly informs the allocation of opportunities to individuals and communities in areas such as lending, education, employment, and beyond.  ...  We capture these considerations through the notion of policy regret, a much stronger notion than the often-studied external regret, and present an algorithm with provably sub-linear policy regret for sufficiently  ...  Any opinions, findings, and conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation, or other funding  ... 
arXiv:2106.01325v1 fatcat:g44g7tpckve23hoi4xcwbq6avi

"It's Unwieldy and It Takes a Lot of Time." Challenges and Opportunities for Creating Agents in Commercial Games [article]

Mikhail Jacob, Sam Devlin, Katja Hofmann
2020 arXiv   pre-print
As the landscape of AI techniques used in the games industry evolves to adopt machine learning (ML) more widely, it is vital that the research community learn from the best practices cultivated within  ...  We compare with literature from the research community that address the challenges identified and conclude by highlighting promising directions for future research supporting agent creation in the games  ...  More recently, game agents created with deep reinforcement learning (RL) and imitation learning (IL) have been demonstrated for commercial games as third-party bots for DotA 2 (Berner et al. 2019) and  ... 
arXiv:2009.00541v1 fatcat:xdyh7ka7izemjigbofya55hkzi

Promoting Wellness in Lamaze Classes

Barbara A. Hotelling
2005 The Journal of Perinatal Education  
Nutrition, physical exercise, breathing, and awareness of the five senses are components of potential class content explored in this article.  ...  In this article, concepts of wellness are examined, drawing from the writings of wellness advocates, midwifery researchers, and an anthropologist.  ...  Today, many homes have televisions blaring in the background to prevent loneliness or boredom.  ... 
doi:10.1624/105812405x57589 pmid:17273442 pmcid:PMC1595256 fatcat:pors77st5zhpzgirimqd3pmowy

Youth Alcoholism among Campus Undergraduates in Cameroon: Implications for Indiscipline in University Neighbourhoods

Delbert Akom Afumbom
2022 Zenodo  
In definite terms, alcoholism [F(l, 321) = 279.26, p <.001], was considerably linked with students' unruliness.  ...  Bivariate linear regression analysis aided by the F-test indicated that youth alcoholism significantly contributed to the rise of acts of indiscipline within university neighbourhoods in Cameroon.  ...  According to social learning theory, an individual learns to drink in small, informal groups (Baron, 2003) .  ... 
doi:10.5281/zenodo.6873449 fatcat:p5hdh2phqng7ldbbjqbe6gzd5m

Complete Issue Volume 11 Issue 4

Editor, Journal of the Scholarship of Teaching and Learning
2012 The Journal of Scholarship of Teaching and Learning  
This research study explored the effects of the use of clicker technology as a means of formative assessment in large, college introductory psychology courses.  ...  You may also acknowledge colleagues that have played a significant role in this research.  ...  We also found benefits even when the college students had no special training or curriculum to follow and simply read with the children.  ... 
doaj:e6618168c9db4e50a75afb62857ddef3 fatcat:7gzvsc4wkzab5kp4uazmjz36ja
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