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When large language models meet personalization: perspectives of challenges and opportunities
The advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training and model...
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How Personalization Affects Motivation in Gamified Review Assessments
Personalized gamification aims to address shortcomings of the one-size-fits-all (OSFA) approach in improving students’ motivations throughout the...
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Cognitive personalization for online microtask labor platforms: A systematic literature review
Online microtask labor has increased its role in the last few years and has provided the possibility of people who were usually excluded from the...
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Choice-based Personalization in MOOCs: Impact on Activity and Perceived Value
Personalization in education describes instruction that is tailored to learners’ interests, attributes, or background and can be applied in various...
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Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling
There is a growing interest in using reinforcement learning (RL) to personalize sequences of treatments in digital health to support users in...
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“Creatures of habit”: influential factors to the adoption of computer personalization and accessibility settings
Purpose:Customizing the accessibility and ease-of-use settings of a computer can improve the overall user experience for people with and without...
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Analyzing the Impact of Personalization on Fairness in Federated Learning for Healthcare
As machine learning (ML) usage becomes more popular in the healthcare sector, there are also increasing concerns about potential biases and risks...
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Personalization of industrial human–robot communication through domain adaptation based on user feedback
Achieving safe collaboration between humans and robots in an industrial work-cell requires effective communication. This can be achieved through a...
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The impact of personalization feature on students’ engagement patterns in a role-playing game: A cultural perspective
The personalization feature has been implemented in various ways in educational games but the effectiveness of personalization feature on students’...
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Fast rendering of central and peripheral human visual aberrations across the entire visual field with interactive personalization
With the recent progress made in areas such as head-mounted displays and vision-correcting devices, there is a growing interest in fast and...
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High-frequency SSVEP–BCI with less flickering sensation using personalization of stimulus frequency
The problem of brain–computer interface (BCI) using steady-state visual evoked potential (SSVEP) is a flickering sensation caused by the flashing...
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Tracking and Personalization
This chapter studies the relationship between two important, often conflicting paradigms of online services: personalization and tracking. The...
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Multibranch multilevel federated learning for a better feature extraction and a plug-and-play dynamic-adjusting double flow personalization approach
Federated learning (FL) is an emerging technique used to preserve the privacy of users’ data in training by a distributed machine learning approach....
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Deep learning and model personalization in sensor-based human activity recognition
Human activity recognition (HAR) is a line of research whose goal is to design and develop automatic techniques for recognizing activities of daily...
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Physiology-based personalization of persuasive technology: a user modeling perspective
Persuasive technology (PT) can assist in behavior change. PT systems often rely on user models, based on behavior and self-report data, to...
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Personalization in Federated Learning
Typical federated learning (FL) problem formulation requires learning a single model suitable for all parties while prohibiting parties from sharing...
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Personalization for web-based services using offline reinforcement learning
Large-scale Web-based services present opportunities for improving UI policies based on observed user interactions. We address challenges of learning...
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Interpretability, personalization and reliability of a machine learning based clinical decision support system
Artificial intelligence (AI) has achieved notable performances in many fields and its research impact in healthcare has been unquestionable....
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Behavioral Predictive Analytics Towards Personalization for Self-management: a Use Case on Linking Health-Related Social Needs
The objective of this research is to investigate the feasibility of applying behavioral predictive analytics to optimize patient engagement in...
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Personalization and Individual Differences in Business Data Analytics
Today’s data-driven business environment necessitates the adoption of business intelligence and analytics (BI &A) platforms for companies that want...