22 papers · ranked by Valyu relevance
Gulin Dogan, Fatma Patlar Akbulut, Cagatay Catal, Alok Mishra + 3 more
'Venerando Rapisarda' 'Tiziana Ramaci' 'Caterina Ledda'] Stress has been designated the “Health Epidemic of the 21st Century” by the World Health Organization and negatively affects the quality of individuals’ lives by detracting most body systems. In today’s world, different methods are used to track and measure…
Leiszle R. Lapping-Carr, Christopher L. Heavey
Pristine inner experience is that which is directly present in awareness before it is distorted by attempts at observation or interpretation. Many psychological methods, including most introspective methods, attempt to measure some aspect of pristine inner experience (thoughts, feelings, mental imagery, sensations…
Veljko Pejović, Neal Lathia, Cecilia Mascolo, Mirco Musolesi
The Experience Sampling Method (ESM) introduces in-situ sampling of human behaviour, and provides researchers and behavioural therapists with ecologically valid and timely assessments of a person's psychological state. This, in turn, opens up new opportunities for understanding behaviour at a scale and granularity that…
Alan McAuliffe, Marek McGann
[60]) examination of the uncritical way in which the mean is often used in psychological research raises questions both about the average’s reliability and its validity. In the present paper, we argue that interrogating the validity of the mean involves, amongst other things, a better understanding of the person’s…
Maryrose Weatherton, Joshua M. Rosenberg, Louis Rocconi, Elisabeth E. Schussler
Classroom experiences elicit many emotions in students. Of these emotions, anxiety, or the feeling of uncertainty about a prospective event, has outsized impacts on students’ academic achievement and persistence. To understand the effects of student anxiety on student outcomes, education researchers often utilize…
Aaron M. Bornstein, Mel W. Khaw, Daphna Shohamy, Nathaniel D. Daw
We provide evidence that decisions are made by consulting memories for individual past experiences, and that this process can be biased in favor of past choices using incidental reminders. First, in a standard rewarded choice task, we show that a model that estimates value at decision-time using individual samples of…
Stefan Appelhoff, Ralph Hertwig, Bernhard Spitzer
When acquiring information about choice alternatives, decision makers may have varying levels of control over which and how much information they sample before making a choice. How does control over sampling affect the quality of experience-based decisions? Here, combining variants of a numerical sampling task with…
Barbara Jachs, Manuel Camino Garcia, Andrés Canales-Johnson, Tristan A. Bekinschtein
Subjective experiences are hard to capture quantitatively without losing depth and nuance, and subjective report analyses are time-consuming, their interpretation contested. We describe Temporal Experience Tracing, a method that captures relevant aspects of the unified conscious experience over a continuous period of…
Alice Mason, Gordon D. A. Brown, Geoff Ward, Simon Farrell
Many models of choice assume that people retrieve memories of past experiences and use them to guide evaluation and choice. In this paper, we examine whether samples of recalled past experiences do indeed underpin our evaluations of options. We showed participants sequences of numerical values and asked them to recall…
Y. Yang, M.S. Spektor, A.I. Thoma, R. Hertwig + 1 more
Learning from experience is central to human decision making, yet research on experience-based choice remains fragmented across paradigms and disciplines. We present the Decision-from-Experience Database (DfE–DB), a standardized, openly accessible resource comprising 3.8 million trial-level decisions from 11,921…
Jeff Guo, Philippe Schwaller
Sample efficiency is a fundamental challenge in de novo molecular design. Ideally, molecular generative models should learn to satisfy desired objectives under minimal oracle evaluations (computational prediction or wet-lab experiment). This problem becomes more apparent when using oracles that can provide increased…
Jeff Guo, Philippe Schwaller
Sample efficiency is a fundamental challenge in de novo molecular design. Ideally, molecular generative models should learn to satisfy desired objectives under minimal oracle evaluations (computational prediction or wet-lab experiment). This problem becomes more apparent when using oracles that can provide increased…
William M. Hayes, Melanie J. Touchard
Reinforcement learning models can be combined with sequential sampling models to fit choice-RT data. The combined models, known as RL-SSMs, explain a wide range of choice-RT patterns in repeated decision tasks. The present study shows how constraining an RL-SSM with eye gaze data can further enhance its predictive…
Alice Vidal, Salvador Soto-Faraco, Rubén Moreno-Bote, Valentin Wyart + 1 more
'Michael J Frank'] Many everyday life decisions require allocating finite resources, such as attention or time, to examine multiple available options, like choosing a food supplier online. In cases like these, resources can be spread across many options (breadth) or focused on a few of them (depth). Whilst theoretical…
Sahil Sood, Sean Fang, Alexander Wang, Thomas Luong + 4 more
Hands-on learning is a staple in high school science education, as it provides students with a fast-learning curve and a great degree of field competency. However, due to the safety risks associated with high school students in university chemistry laboratory settings, high school students rarely engage in authentic…
Zhicheng Liu, Aoqian Zhang
—Due to the development of internet technology and computer science, data is exploding at an exponential rate. Big data brings us new opportunities and challenges. On the one hand, we can analyze and mine big data to discover hidden information and get more potential value. On the other hand, the 5V characteristic of…
Lior Ashkenazy, Nimrod Talmon
Attention-Aware Social Choice tackles the fundamental conflict faced by some agent communities between their desire to include all members in the decision making processes and the limited time and attention that are at the disposal of the community members. Here, we investigate a combination of two techniques for…
Paolo D’Alberto, Veronica Milenkiy, Fairiz Fi Azizi
Mobile-phone advertising enables marketers to reach customers at a personal level and it enables the measure of costumers' reaction by novel approaches, in real time, and at scale. By keeping a device anonymous, we can deliver custom adverts and we can check when the device owner will visit a specific mortar-and-brick…
Keyu Nie, Zezhong Zhang, Bingquan Xu, Yuan Tao
eBay's experimentation platform runs hundreds of A/B tests on any given day. The platform integrates with the tracking infrastructure and customer experience servers, provides the sampling service for experiments, and has the responsibility to monitor the progress of each A/B test. There are many challenges especially…
Zeeshan Ali Sayyed
This work investigates the application of sampling methods for sentiment analysis on two different highly imbalanced datasets. One dataset contains online user reviews from the cooking platform Epicurious and the other contains comments given to the Planned Parenthood organization. In both these datasets, the classes…
Amey Pasarkar, Gianluca Bencomo, Simon Olsson, Adji Bousso Dieng
Molecular dynamics (MD) is the method of choice for understanding the structure, function, and interactions of molecules. However, MD simulations are limited by the strong metastability of many molecules, which traps them in a single conformation basin for an extended amount of time. Enhanced sampling techniques, such…
Sanjar Adilov
Generative neural networks have shown promising results in de novo drug design. Recent studies suggest that one of the efficient ways to produce novel molecules matching target properties is to model SMILES sequences using deep learning in a way similar to language modeling in natural language processing. In this…