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78 results for “user experience”
Sparse camera volumetric video applications. A comparison of visual fidelity, user experience , and adaptability. Supplementary Video
<p>This video is a supplementary video material to the paper "Sparse camera volumetric video applications. A comparison of visual fidelity, user experience , and adaptability". It shows a comparision of five volumetric videos scenes, captured with three different sparse volumetric video applications. This video aims to visualize the difference in fidelity and artifacts that each system expresses.</p>
User Experience Optimization Experiment Simulations
<p># The `uxo_sim` Package</p> <p>A package for simulations of data matching industry UX optimization experiments, as discussed in:</p> <p>```<br> @article{van_adelsberg_modeling_2019,<br> title = {Modeling {A}/{B} {Test} {Data} is {Hard}: {Effects} of {Overdispersion}, {RandomWalks}, and {Cointegration}},<br> language = {en},<br> journal = {NeurIPS 2019 Workshop on Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy},<br> author = {van Adelsberg, Matthew and Sweeney, Mackenzie},<br> month = dec,<br> year = {2019}<br> }<br> ```</p> <p>The code for running the simulations is included, along with figures and CSV files for each of three specific simulation runs that are used in a publication currently under review for ICML 2020.</p> <p>## Packages:</p> <p>1. `data`: code for running the simulations to produce datasets<br> 2. `viz`: code for visualizing the simulation outputs</p> <p>## Scripts:</p> <p>1. `save_datasets`: save CSV for each simulated dataset in the `inventory`<br> 2. `save_figs`: save PNG figure for each simulated dataset in `plots`</p> <p>## Simulation Datasets:</p> <p>### `fixed_effects_od_20_21_seed27`</p> <p>Data is simulated from a beta-binomial distribution with overdispersion parameter `gamma=0.01` for each of the two treatments and rates `theta=0.20` and `theta=0.21`. This corresponds to beta distribution parameters `alpha, beta = 19.8, 79.2` and `alpha, beta = 20.79, 78.21`.</p> <p>### `drift_down_then_up`</p> <p>Data is simulated from a beta-binomial distribution with overdispersion parameter `gamma=0.01` for each of the two treatments. The rates start at `theta=0.20` and `theta=0.21` and then:</p> <p>1. decrease by 0.005 each day for 20 days<br> 2. increase by 0.005 each day for 30 days<br> 3. stay constant for 10 days</p> <p>The corresponding beta distribution parameters on each day are a function of `theta, gamma` and can be obtained via this function (implemented in `uxo_sims.data.simulations`:<br> ```python<br> def alpha_beta_from_gamma_theta(gamma, theta):<br> virtual_sample_size = 1 / gamma - 1<br> alpha = theta * virtual_sample_size<br> beta = virtual_sample_size - alpha<br> return alpha, beta<br> ```</p> <p><br> ### `arm_addition`</p> <p>Data is simulated from a beta-binomial distribution with overdispersion parameter `gamma=0.01` for each of the two treatments. The rates start at `theta=0.10` and `theta=0.11` and increase by 0.005 each day for 40 days. The corresponding beta distribution parameters can be obtained with the same function as indicated in `drift_down_then_up`.</p>
Systematic assessment of pathway databases, based on a diverse collection of user-submitted experiments
<p><strong>Supplemental data for the manuscript </strong></p> <p><strong>"Systematic assessment of pathway databases, based on a diverse collection of user-submitted experiments".</strong></p> <p>Content</p> <ul> <li>functional_annotations.tar.gz <ul> <li> functional annotations for 10 different functional annotation systems, for 5090 species</li> </ul> </li> <li> genome_info_and_statistics.tar.gz <ul> <li>basic genome info, annotation system statistics, user query statistics</li> </ul> </li> <li>example_user_queries.tar.gz <ul> <li>three example files for user query inputs used in the analysis </li> </ul> </li> <li>README.txt <ul> <li>details about the files and file formats</li> </ul> </li> </ul>
Sparse camera volumetric video applications. A comparison of visual fidelity, user experience, and adaptability: Subjective fidelity study data
<p>Supplementary Material to the Paper: <em>Sparse camera volumetric video applications. A comparison of visual fidelity, user experience, and adaptability</em></p> <p>This folder contains all collected data and scripts that were used to analyze the subjective fidelity study.</p>
Different adaptation error types in affective computing have different effects on user experience: a Wizard-of-Oz study
<p>The record consists of one Excel file that contains individual participant data for the study "Different adaptation error types in affective computing have different effects on user experience: a Wizard-of-Oz study". The study included 97 participants who were randomly divided into five groups corresponding to five adaptation behaviors (SingleSmall, SingleModerate, ImmediateLow, ImmediateHigh, IrreversibleHigh). Each participant took part in three 11-minute intervals. Difficulty changed every 60 seconds in each 11-minute interval, and there are thus 11 difficulty values per interval. At the end of each interval, participants self-reported their experience using the NASA Task Load Index (6 items) and Intrinsic Motivation Inventory (8 items). After the third interval, participants were asked to rate how much they liked the 3 intervals on a visual analog scale that was converted to 1-100 numerical scores.</p>
Dataset Practical Performance and User Experience of Novel DUAL-Flush Vacuum Toilets
<p>Dataset for paper "Practical Performance and User Experience of Novel DUAL-Flush Vacuum Toilets" <a href="https://doi.org/10.3390/w13162228">https://doi.org/10.3390/w13162228</a> <em>Water</em> <strong>2021</strong>, <em>13</em>(16), 2228</p> <p> </p>
User Experience Evaluation of BRI Smart Billing Mobile Application Using System Usability Scale and Heuristic Evaluation
<p>This research aims to evaluate user perceptions of the design and functionality of the BRI Smart Billing Mobile app. Through a questionnaire distributed to active BRI Smart Billing users, this study will identify factors that influence user satisfaction with the visual appearance, layout of elements, and ease of use of features available on the dashboard. The results of this research are expected to provide input to the application developers regarding efforts to improve the quality of digital application services and provide recommendations for improving the design of the BRI Smart Billing Mobile dashboard to be more user-friendly and meet user needs.</p>
Data for: Evaluation of Methods for Eliciting and Specifying Usability Requirements using User Stories: A Controlled Experiment
<p>Este projeto contém os materiais utilizados na pesquisa intitulada Evaluation of Methods for Eliciting and Specifying Usability Requirements using User Stories: A Controlled Experiment: TCLE, Formulário de Caracterização, Cenário, Oráculo, User Stories, Protótipo, Storyboards, Avaliação de ferramentas em escala de Likert e Dados coletados do formulário.</p>
SSP2017 - Experiment Data - Towards Extracting Realistic User Behavior Models
<p>This package contains the monitoring data, the ideal behavior models, computed clustering results for behavior models based on the monitoring data, and the interpretation of the analysis results. We processed these data with the following two tooling sources:</p> <p>Experiment setup: https://doi.org/10.5281/zenodo.883069</p> <p>Analysis software: https://doi.org/10.5281/zenodo.883061</p>
Contrasting Third-Party Package Management User Experience
<p>The management of third-party package dependencies is crucial to most technology stacks, with package managers acting as brokers to ensure that a verified package is correctly installed, configured, or removed from an application. Diversity in technology stacks has led to dozens of package ecosystems with their own management features. While recent studies have shown that developers struggle to migrate their dependencies, the common assumption is that package ecosystems are used without any issue. In this study, we explore 13 package ecosystems to understand whether their features correlate with the experience of their users. By studying experience through the questions that developers ask on the question-and-answer site Stack Overflow, we find that developer questions are grouped into three themes (i.e., Package management, Input-Output, and Package Usage).<br> Our preliminary analysis indicates that specific features are correlated with the user experience. Our work lays out future directions to investigate the trade-offs involved in designing the ideal package ecosystem.</p>
Building bridges: mapping diverse classifications for a seamless user navigation experience
<p>This paper describes a BBC project to unify Archive and Production workspaces, during<br> which numerous issues with managing different types of metadata and Knowledge Organi-<br> sation Systems (KOSs) were encountered. Integrating diverse content silos requires bringing<br> together not simply the assets, but also the metadata used to manage those assets. The paper<br> summarises the theoretical background to the project, the BBC’s ‘information ecosystem’,<br> and the user research and requirements-gathering exercises undertaken.<br> Much work on developing metadata crosswalks has been at the heading or label level, and<br> not based on semantic analysis of the content of the labelling or description. However, such<br> semantic analysis needs to be undertaken when mapping diverse taxonomies, thesauri, and<br> keyword lists and, in practice, often needs to balance preservation of local or specialised<br> terminology with accessibility for general users. Just as metadata about content permits the<br> organization of that content, so metadata about metadata (parametadata, or meta-metadata)<br> permits the organization of metadata, enabling end users to make informed browse and<br> navigation choices. Increasingly, in order to integrate content, different KOSs, such as<br> taxonomies and ontologies, need to be related.<br> The paper concludes by summarising the ways in which problems that arose during the<br> integration project were resolved, and how policies for managing parametadata, subjective<br> metadata, and semantic-level mapping were developed.</p>
Assessing the Maturity level of Wearable Sensors for Home Monitoring in Parkinson's Disease through Evidence Evaluation Levels (EEL) and User Experience: A Comprehensive Review
<p>Source files for the PRISMA diagram and Figure 1 of the comprehensive review: Assessing the Maturity level of Wearable Sensors for Home Monitoring in Parkinson’s Disease through Evidence Evaluation Levels (EEL) and User Experience</p>
The Perceptual Experience of Argus II Users
ClinicalTrials.gov study NCT05285618. IPD Sharing: YES. Countries: 1. Publications: 2.
Comparative User Experiences With BD Nano™ PRO 4mm x 32G Extra Thin Wall Pen Needle vs Three Commercially Available Pen Needles
ClinicalTrials.gov study NCT03878758. IPD Sharing: NO. Countries: 1. Publications: 1.
Evaluating the User Performance and Experience of Nucleus Pen vs. Commercially Available Pen Needle
ClinicalTrials.gov study NCT03267264. IPD Sharing: NO. Countries: 1. Publications: 1.
Initial Case Series With Exalt Single-Use Duodenoscope - Expanded User Experience
ClinicalTrials.gov study NCT04223830. IPD Sharing: YES. Countries: 2. Publications: 1.
Comparative User Experiences With BD Nano™ PRO 32G Extra Thin Wall Pen Needle vs the Terumo Nanopass® 34G Pen Needle
ClinicalTrials.gov study NCT03878745. IPD Sharing: NO. Countries: 1. Publications: 6.
Towards understanding customer co-creation experience for mass customization - User Data
<p>Towards understanding customer co-creation experience for mass customization - Data gathered during the user tests</p>
Data from: User experience methods and maturity in academic libraries
<p>This article presents a mixed-methods study of the methods and maturity of user experience (UX) practice in academic libraries. The authors apply qualitative content analysis and quantitative statistical analysis to a research dataset derived from a survey of UX practitioners. Results reveal the type and extent of UX methods currently in use by practitioners in academic libraries. Themes extracted from the survey responses also reveal a set of factors that influence the development of UX maturity. Analysis and discussion focuses on organizational characteristics that influence UX methods and maturity. The authors conclude by offering a library-focused maturity scale with recommended practices for advancing UX maturity in academic libraries. </p>
Supplementary materials for the paper "Measuring End-user Developers' Episodic Experience of a Low-code Development Platform --- A Preliminary Study"
<p>This is the supplementary materials for the paper "Measuring End-user Developers' Episodic Experience of a Low-code Development Platform --- A Preliminary Study". It consists of raw data from questionnaire responses, participant groups for validation of the questionnaire, preliminary questionnaire, final questionnaire, task design and data analysis results.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.