18 papers · ranked by Valyu relevance
Harri Oinas-Kukkonen, Sami Pohjolainen, Eunice Agyei
A common but false perception persists about the level and type of personalization in the offerings of contemporary software, information systems, and services, known as Personalization Myopia: this involves a tendency for researchers to think that there are many more personalized services than there genuinely are, for…
Iris ten Klooster, Hanneke Kip, Lisette van Gemert-Pijnen, Rik Crutzen + 1 more
'Rik Crutzen' 'Saskia Kelders'] Title: Summary Despite the widespread use of personalization of eHealth technologies, there is a lack of comprehensive understanding regarding its application. This systematic review aims to bridge this gap by identifying and clustering different personalization approaches based on the…
Kounianhua Du, Jianxing Liu, Kangning Zhang, Wenxiang Jiao + 5 more
The rapid evolution of large language models (LLMs) has intensified the demand for effective personalization techniques that can adapt model behavior to individual user preferences. Despite the non-parametric methods utilizing the in-context learning ability of LLMs, recent parametric adaptation methods, including…
Carmen Schaeuffele, Pavle Zagorscak, Vladlena Langerwisch, Johanna Wilke + 2 more
'Johanna Wilke' 'Yana Medvedeva' 'Christine Knaevelsrud'] Background Internet-based interventions (IBIs) offer the potential for personalization through various mechanisms and components. Objective This systematic review aimed to synthesize evidence on the personalization of treatment components within IBIs targeting…
Hyeongseok Kim, Seunghee Han, Bereket Kebede
Personalized marketing presents a powerful but delicate strategy, as its benefits can be negated by rising consumer privacy concerns. To illuminate this tension, this study investigates what causes personalization to fail, focusing on the interaction between the level of message personalization and situationally…
Salemi, Alireza, Zamani, Hamed
Personalization is crucial for enhancing both the effectiveness and user satisfaction of language technologies, particularly in informationseeking tasks like question answering. Current approaches for personalizing large language models (LLMs) often rely on retrievalaugmented generation (RAG), followed by reinforcement…
Zhaoqi Li, Emma Brunskill
From medicine to marketing to social sciences, the promise of tailoring interventions to individuals is undeniable. However, practical applications force weighing personalization's potential benefits with its possible increased cost and fragility. We introduce a statistical hypothesis test that evaluates, given…
Jialin Li, Alia Waleed, Hanan Salam
—In computing, the aim of personalization is to train a model that caters to a specific individual or group of people by optimizing one or more performance metrics and adhering to specific constraints. In this paper, we discuss the need for personalization in affective and personality computing (hereinafter referred to…
Jieyong Kim, Tongyoung Kim, Soojin Yoon, Jaehyung Kim + 1 more
Large language models (LLMs) have recently achieved impressive performance across a wide range of natural language tasks and are now widely used in real-world applications. Among them, black-box LLMs—served via APIs without access to model internals—are especially dominant due to their scalability and ease of…
Anya Shchetkina, Ron Berman
∗ Research reported in this paper was made possible by Flu Lab, the Social Science Research Council's Mercury Project (with funding from the Rockefeller Foundation, the Robert Wood Johnson Foundation, Craig Newmark Philanthropies, and the Alfred P. Sloan Foundation). Ron Berman acknowledges support from the Wharton…
C.V. Hammond, S.T. Williams, M.M. Vega, D. Ao + 7 more
Neuromusculoskeletal injuries including osteoarthritis, stroke, spinal cord injury, and traumatic brain injury affect roughly 19% of the U.S. adult population. Standardized interventions have produced suboptimal functional outcomes due to the unique treatment needs of each patient. Strides have been made to utilize…
Michal Gabay, Tom Schonberg
Usage of Virtual reality (VR) has been growing in many fields of research and therapy thanks to its immersive and gamified nature. Detection of the subjective experience of the users is thus essential for effective personalization of content. Eye-tracking (ET) data and specifically gaze, in two-dimensional tasks has…
Halie A. Olson, Kristina T. Johnson, Shruti Nishith, Isabelle R. Frosch + 2 more
Human language is shaped by individual experiences and interests. However, to study language in the brain, researchers use generic stimuli, avoiding the variable personal interests that typically animate language. Thus, it is unknown how personal interests affect language function in the brain. We conducted…
Claire V. Hammond, Heath B. Henninger, Benjamin J. Fregly, Jonathan A. Gustafson
The shoulder joint complex is prone to musculoskeletal issues, such as rotator cuff-related pain, which affect two-thirds of adults and often result in suboptimal treatment outcomes. Current musculoskeletal models used to understand shoulder biomechanics are limited by challenges in personalization, inaccuracies in…
Janne J. Luppi, Annel P. Koomen, Cornelis J. Stam, Philip Scheltens + 1 more
Transcranial direct current stimulation (tDCS) is being investigated as a clinical intervention in Alzheimer’s disease (AD) with the goal of reducing its neurophysiological effects (i.e. oscillatory slowing and loss of functional connectivity). However, progress is hampered by variable outcomes across studies, likely…
Chia-Wei Hsu, Terra Williams, Xiang Yu
3D printing has been applied to multiple areas since 1980. Biomedical applications have grown significantly and become the mainstream of 3D printing applications. In this review, we elucidated the publication distribution of biomedical 3D printing using the CAS Content Collection. From 2010 to 2021, journal and patent…
vittorio saggiomo
Although 3D printers are becoming more common in households, they are still underrepresented in many laboratories worldwide and regarded as toys rather than as laboratory equipment. This short review wants to change this conservative point of view. This mini-review focuses on Fused Deposition Modeling (FDM) printers…
Authors not listed
Despite $100 billion in investment and more than 100,000 publications, nanomedicine translation fails primarily at biological validation, not at synthesis or characterization. We present the first systematic technology readiness assessment across autonomous nanomedicine components, revealing a critical finding: while…