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Fighting Boredom in Recommender Systems with Linear Reinforcement Learning
2018
Neural Information Processing Systems
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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
2004
CyberPsychology & Behavior
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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
2004
CyberPsychology & Behavior
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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?
2018
Journal of Computer Assisted Learning
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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]
2020
arXiv
pre-print
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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]
2020
arXiv
pre-print
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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
2015
IEEE Transactions on Computational Intelligence and AI in Games
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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
2009
Journal of Offender Rehabilitation
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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
2018
Entertainment Computing
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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)
2021
JMIR Serious Games
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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]
2021
arXiv
pre-print
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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]
2020
arXiv
pre-print
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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
2005
The Journal of Perinatal Education
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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
2022
Zenodo
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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
2012
The Journal of Scholarship of Teaching and Learning
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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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