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3,168 results for “Subjective Evaluation”
Extensive crowdsourced dataset of in-situ evaluated binaural soundscapes of private dwellings containing subjective sound-related and situational ratings along with person factors to study time-varying influences on sound perception — research data
<p><strong>Abstract:</strong></p> <p>The soundscape approach highlights the role of situational factors in sound evaluations; however, only a few studies have applied a multi‐domain approach including sound‐related, person‐related, and time‐varying situational variables. Therefore, we conducted a study based on the Experience Sampling Method to measure the relative contribution of a broad range of potentially relevant acoustic and non‐auditory variables in predicting indoor soundscape evaluations. Here we present the comprehensive dataset for which 105 participants reported temporally (rather) stable trait variables such as noise sensitivity, trait affect, and quality of life. They rated 6.594 situations regarding the soundscape standard dimensions, perceived loudness, and the saliency of its sound components and evaluated situational variables such as state affect, perceived control, activity, and location. To complement these subject‐centered data, we additionally crowdsourced object‐centered data by having participants make binaural measurements of each indoor soundscape at their homes using a low‐(self‐)noise recorder. These recordings were used to compute (psycho‐)acoustical indices such as the energetically averaged loudness level, the A‐weighted energetically averaged equivalent continuous sound pressure level, and the A‐weighted five‐percent exceedance level. This complex hierarchical data can be used to investigate time‐varying non‐auditory influences on sound perception and to develop soundscape indicators based on the binaural recordings to predict soundscape evaluations.</p> <p><strong>Content:</strong></p> <ul> <li><a href="https://zenodo.org/record/7858848/files/01%20StudyDescription.pdf">01 StudyDescription.pdf </a> <ul> <li>Description of the field study.</li> <li>Information about the methods and materials used.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/02%20Dataset.csv">02 Dataset.csv</a> <ul> <li>The dataset, consisting of 93 variables describing 6594 observations taken by 105 participants.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/03%20VariableDescriptions_EnglishPersonQuestionnaire.pdf">03 VariableDescriptions_EnglishPersonQuestionnaire.pdf</a> <ul> <li>Descriptions of all variables, their measurement scale, scale ranges and levels.</li> <li>Questions and task descriptions of the Experience Sampling Method questionnaire in German language with an English translation.</li> <li>English translations of questions asked in the person questionnaire.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/04%20ESM-Questionnaire.pdf">04 ESM-Questionnaire.pdf</a> <ul> <li>Screenshots of the original Experience Sampling Method questionnaire with English translations.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/05%20PersonQuestionnaire_OriginalGermanVersion.pdf">05 PersonQuestionnaire_OriginalGermanVersion.pdf</a> <ul> <li>Original version of the person questionnaire in German language.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/06%20HelpTexts.pdf">06 HelpTexts.pdf</a> <ul> <li>Descriptions of the study task.</li> <li>Explanations of the scales used in the questionnaire.</li> <li>Explanations of the sound categories and the soundscape composition.</li> <li>Explanation of the operation of the recording device.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/AcousticFeatures_README.md">AcousticFeatures_README.md</a> <a href="https://zenodo.org/api/files/3d784540-c0f4-412f-8742-df1db6f5401d/TimeSeries_and_Spectrograms_README.md?versionId=9291496c-d2c6-4151-96f1-a2ad99e1a540"> </a> <ul> <li>Descriptions of the structure of the AcousticFeatures_xxx.csv and .zip files.</li> <li>Analyis settings used in Artemis Suite to generate the acoustic features.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/AcousticFeatures_SingleValues.csv">AcousticFeatures_SingleValues.csv</a> <ul> <li>All acoustic features, aggregated to single values per feature, recording, and channel.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/AcousticFeatures_Spectra.csv">AcousticFeatures_Spectra.csv</a> <ul> <li>Time-averaged 1/3 octave spectra of each channel of each recording, A-weichted and un-weighted.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/AcousticFeatures_Spectrograms.zip">AcousticFeatures_Spectrograms.zip</a> <ul> <li>13188 .csv files with un-weighted spetrograms of each channel of each recording.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/AcousticFeatures_TimeSeries.zip">AcousticFeatures_TimeSeries.zip</a> <ul> <li>A .csv file containing LAeq and LZeq time series of each channel of each recording.</li> </ul> </li> </ul> <p><strong>Publications refering to this dataset:</strong></p> <p>Versümer, Siegbert; Steffens, Jochen; Weinzierl, Stefan (currently under review): "The role of loudness predictions, personal and situational factors in day-to-day loudness assessments of indoor soundscapes."</p> <p><strong>Funding:</strong></p> <p>This study was sponsored by the German Federal Ministry of Education and Research. “FHprofUnt” funding code: 13FH729IX6. </p> <p><strong>License: </strong></p> <p>CC 4.0 BY, <a href="https://creativecommons.org/licenses/by/4.0/legalcode">https://creativecommons.org/licenses/by/4.0/legalcode</a></p> <p><strong>Version history:</strong></p> <p>Details can be found in the <a href="https://zenodo.org/api/files/a15d6a91-1a35-4b5e-a7ec-da8a9bcbee2b/Changelog.md">Changelog.md</a> file.</p> <ul> <li> V.01.0. March 7, 2023: Initial publication. <a href="https://doi.org/10.5281/zenodo.7193938">https://doi.org/10.5281/zenodo.7193938</a></li> <li> V.01.1. April 25, 2023. <a href="https://doi.org/10.5281/zenodo.7858848">https://doi.org/10.5281/zenodo.7858848</a></li> </ul>
GENEA Challenge 2023 Human-Likeness subjective evaluation data
<p>This repository contains human-likeness user-study response data and associated analyses from the GENEA Challenge 2023. The code was written by Gustav Eje Henter and is released under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.</p> <p><strong>The archive contains:</strong><br> * This README.txt file.<br> * A LICENSE.txt file.<br> * A JSON file containing all human-likeness user-study responses included in the analyses.<br> * MATLAB .m files for reproducing the above analyses (both tables and figures).<br> * A folder called "output" that contains all files written by the analysis script, including .mat files with all the results computed by each analysis, as well as files created when compiling the final, pretty-looking pdf figures.<br> * A file output.txt that contains all output written to the MATLAB Command Window when running the analyses.</p> <p><strong>Requirements:</strong><br> * MATLAB and MATLAB Image Processing Toolbox<br> * distinguishable_colors.m by Timothy E. Holy (https://www.mathworks.com/matlabcentral/fileexchange/29702-generate-maximally-perceptually-distinct-colors)<br> * fragmaster by Augustin Martin Domingo and Tilman Vogel (https://ctan.org/pkg/fragmaster), a LaTeX utility<br> This was last tested on 2023-10-08 on MATLAB version 9.10.0.1739362 (R2021a) Update 5, running on macOS version 13.2 build 22D49.</p> <p><strong>To re-generate/reproduce</strong> the contents in the "output" folder:<br> 0. Ensure that all requirements are met.<br> 1. Run through the entire analysis script "run_analyses.m".<br> 2. Run the fragmaster command in the "output" folder.</p> <p><strong>Attribution:</strong><br> If you use this material in a scientific publication, please cite our latest paper on the GENEA Challenge 2023. At the time of writing (2023-10-08) this is our ACM ICMI 2023 paper. You can use the following BibTeX code to cite that work:<br> @inproceedings{kucherenko2023genea,<br> author={Kucherenko, Taras and Nagy, Rajmund and Yoon, Youngwoo and Woo, Jieyeon and Nikolov, Teodor and Tsakov, Mihail and Henter, Gustav Eje},<br> title={The {GENEA} {C}hallenge 2023: {A} large-scale evaluation of gesture generation models in monadic and dyadic settings},<br> booktitle = {Proceedings of the ACM International Conference on Multimodal Interaction},<br> publisher = {ACM},<br> series = {ICMI '23},<br> year={2023}<br> }</p> <p><strong>To find more</strong> GENEA Challenge 2023 material on the web, please see:<br> * https://svito-zar.github.io/GENEAchallenge2023/<br> * https://genea-workshop.github.io/2023/challenge/</p> <p><strong>If you have any questions</strong> or comments, please contact:<br> * Gustav Eje Henter <ghe@kth.se><br> * The GENEA Challenge organisers <genea-challenge@googlegroups.com></p>
GENEA Challenge 2022 subjective evaluation data
<p>This zip archive contains user-study response data and associated analyses and analysis results from the GENEA Challenge 2022 (<a href="https://youngwoo-yoon.github.io/GENEAchallenge2022/">https://youngwoo-yoon.github.io/GENEAchallenge2022/</a>). The code was written by Gustav Eje Henter and is released under a Creative Commons Attribution 4.0 International license.</p> <p>If you use this material, please cite the following paper:</p> <p>Youngwoo Yoon, Pieter Wolfert, Taras Kucherenko, Carla Viegas, Teodor Nikolov, Mihail Tsakov, and Gustav Eje Henter. 2022. The GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generation. In Proceedings of the ACM International Conference on Multimodal Interaction (ICMI '22). ACM</p>
Efficacy, Safety, Tolerability, Immunogenicity and Pharmacokinetic Evaluation of HYQVIA in Pediatric PIDD Subjects
ClinicalTrials.gov study NCT03277313. IPD Sharing: YES. Countries: 1. Publications: 0.
A Study to Evaluate the Efficacy and Safety of Pemigatinib (INCB054828) in Subjects With Myeloid/Lymphoid Neoplasms With FGFR1 Rearrangement - (FIGHT-203)
ClinicalTrials.gov study NCT03011372. IPD Sharing: YES. Countries: 11. Publications: 3.
A Randomized, Open-Label, Parallel-Group, Multi-Center Study for the Evaluation of Efficacy and Safety of Edoxaban Monotherapy Versus Low Molecular Weight (LMW) Heparin/Warfarin in Subjects With Sympt
ClinicalTrials.gov study NCT01662908. IPD Sharing: YES. Countries: 2. Publications: 1.
A Study to Evaluate the Safety and Efficacy of CNTX-6970 in Subjects With Knee Osteoarthritis Pain.
ClinicalTrials.gov study NCT05025787. IPD Sharing: YES. Countries: 1. Publications: 58.
An Open-label Extension Study to Evaluate the Long-term Safety and Tolerability of LOU064 in Subjects With CSU
ClinicalTrials.gov study NCT04109313. IPD Sharing: YES. Countries: 15. Publications: 1.
Post-Authorization Safety, Tolerability and Immunogenicity Evaluation of HyQvia in Pediatric PIDD Subjects
ClinicalTrials.gov study NCT03116347. IPD Sharing: YES. Countries: 8. Publications: 1.
A Study to Evaluate the Efficacy and Safety of Pemigatinib (INCB054828) in Subjects With Urothelial Carcinoma - (FIGHT-201)
ClinicalTrials.gov study NCT02872714. IPD Sharing: YES. Countries: 11. Publications: 2.
Phase III Study Evaluating Efficacy and Safety of Canakinumab in Combination With Docetaxel in Adult Subjects With Non-small Cell Lung Cancers as a Second or Third Line Therapy
ClinicalTrials.gov study NCT03626545. IPD Sharing: YES. Countries: 26. Publications: 1.
Study to Evaluate the Effect of Secukinumab Compared to Placebo on Aortic Vascular Inflammation in Subjects With Moderate to Severe Plaque Psoriasis
ClinicalTrials.gov study NCT02690701. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
This Study Will Evaluate the Effect of Canakinumab or Pembrolizumab Given as Monotherapy or in Combination as Neo-adjuvant Treatment for Subjects With Early Stages NSCLC.
ClinicalTrials.gov study NCT03968419. IPD Sharing: YES. Countries: 12. Publications: 1.
FOCUS: A Phase I/II First in Human Study to Evaluate the Safety and Efficacy of GT005 Administered in Subjects With Dry AMD
ClinicalTrials.gov study NCT03846193. IPD Sharing: YES. Countries: 2. Publications: 1.
An Open-label Study Evaluating Ofatumumab Treatment Effectiveness and PROs in Subjects With RMS Transitioning From Fumarate-based RMS Approved Therapies or Fingolimod to Ofatumumab
ClinicalTrials.gov study NCT04353492. IPD Sharing: YES. Countries: 27. Publications: 0.
Rendered Stimuli for "Spatial Analysis and Synthesis Methods: Subjective and Objective Evaluations Using Various Microphone Arrays in the Auralization of a Critical Listening Room"
<h2>Rendered Stimuli from the Subjective Evaluation</h2> <p>This archive (<code>Stimuli.zip</code>) contains the rendered stimuli used in the subjective evaluation of various spatial analysis and synthesis methods, as described in the paper "Spatial Analysis and Synthesis Methods: Subjective and Objective Evaluations Using Various Microphone Arrays in the Auralization of a Critical Listening Room" by Alan Pawlak, Hyunkook Lee, Aki Mäkivirta, and Thomas Lund.</p> <p>The stimuli are provided to improve the reproducibility of the study and to allow readers to listen to the same audio samples used in the subjective evaluation.</p> <h2>File Naming Convention:</h2> <p><code>SYSTEM_PROGRAMMEMATERIAL_AZIMUTH_ELEVATION_-26LUFS.wav</code></p> <p>- <code>SYSTEM</code>: The spatial analysis and synthesis method used (e.g., BSDM-6OM1-Omni, HO-SIRR, SDM-em32, etc.)<br>- <code>PROGRAMMEMATERIAL</code>: The anechoic audio sample used (Bongo, Speech, Orchestra)<br>- <code>AZIMUTH</code>: The azimuth angle of the sound source (e.g., 0, 30, 45, 90, 135)<br>- <code>ELEVATION</code>: The elevation angle of the sound source (e.g., 0, 45)</p> <h2>Audio File Specifications:</h2> <p>- Format: WAV<br>- Sample Rate: 48 kHz<br>- Bit Depth: 32-bit<br>- Loudness Normalization: -26 LUFS</p> <p>To use these stimuli, simply load the desired WAV file into your audio playback software.</p> <p>For more information about the study, please refer to the full paper.</p> <p>Pawlak, A., Lee, H., Mäkivirta, A. and Lund, T., 2024. Spatial Analysis and Synthesis Methods: Subjective and Objective Evaluations Using Various Microphone Arrays in the Auralization of a Critical Listening Room.</p>
Supplementary Material to "Evaluation of Active Occlusion Effect Cancellation in Earphones by Subjective, Real-Ear and Coupler Measurements"
<p>Supplementary figures for the Publication</p> <p> </p> <p>F. Denk, L. Jürgensen, H. Husstedt (2024) <a href="https://doi.org/10.17743/jaes.2022.0124." target="_blank" rel="noopener"><strong>Evaluation of Active Occlusion Effect Cancellation in Earphones by Subjective, Real-Ear and Coupler Measurements</strong></a>, <em>Journal of the Audio Engineering Society</em> 72(3), pp. 145-160</p> <p> </p> <p>This supplementary material contains 3 types of figures:</p> <ul> <li>Overview_REMall_Levels_T: Overview of 1/6 octave long-term average levels of Real-Ear Measured (REM) sound pressure levels at eardrum for each subject (panel columns), Device (panel rows, rows 1-4 correspond to devices A-D, respectively) and condition (see line color). For better readability, two separate figures 1 and 2 are given for subjects 1-6 and 7-12.</li> <li>Overview_REMall_R: As Overview_REMall_Levels_T, but showing the Occlusion Effect OE, i.e., the difference to the Open-Ear condition.</li> <li>REM_Retest: Test and Retest results for three subjects (individual panels) for which the experiment was repeated. The results for the individual devices are given in separate figures.</li> </ul>
Hypothalamic interaction with reward-related regions during subjective evaluation of foods
<p>The reward system implemented in the midbrain, ventral striatum, orbitofrontal cortex, and ventromedial prefrontal cortex evaluates and compares various types of rewards given to the organisms. It has been suggested that autonomic factors influence reward-related processing via the hypothalamus, but how the hypothalamus modulates the reward system remains elusive. In this functional magnetic resonance imaging study, the hypothalamus was parcellated into individual hypothalamic nuclei performing different autonomic functions using boundary mapping parcellation analyses. The effective interaction during subjective evaluation of foods in a reward task was then investigated between the human hypothalamic nuclei and the reward-related regions. We found significant brain activity decrease in the paraventricular nucleus (PVH) and lateral nucleus in the hypothalamus in food evaluation compared with monetary evaluation. A psychophysiological interaction analysis revealed dual interactions between the PVH and (1) midbrain region and (2) ventromedial prefrontal cortex, with the former correlated with the stronger tendency of participants toward food-seeking. A dynamic causal modeling analysis further revealed unidirectional interactions from the PVH to the midbrain and ventromedial prefrontal cortex. These results suggest that the PVH in the human hypothalamus interacts with the reward-related regions in the cerebral cortex via multiple pathways (i.e., the midbrain pathway and ventromedial prefrontal pathway) to evaluate rewards for subsequent decision-making.</p>
Evaluating the Efficacy and Safety of Fluticasone Furoate/Vilanterol Trifenatate in the Treatment of Asthma in Adolescent and Adult Subjects of Asian Ancestry.
ClinicalTrials.gov study NCT01498679. IPD Sharing: YES. Countries: 3. Publications: 1.
Trial Evaluating PCSK9 Antibody in Subjects With LDL Receptor Abnormalities
ClinicalTrials.gov study NCT01588496. IPD Sharing: Not stated. Countries: 12. Publications: 3.
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