{"dcterms:modified":"2025-07-30","dcterms:creator":"ARP","@type":"ore:ResourceMap","schema:additionalType":"Dataverse OREMap Format v1.0.0","dvcore:generatedBy":{"@type":"schema:SoftwareApplication","schema:name":"Dataverse","schema:version":"6.1 build arp-prod-ead38cd85c","schema:url":"https://github.com/iqss/dataverse"},"@id":"https://repo.researchdata.hu/api/datasets/export?exporter=OAI_ORE&persistentId=https://hdl.handle.net/21.15109/ARP/0BDBAT","ore:describes":{"title":"Face-To-Face Communication Dataset","notesText":"<b>Dataset structure</b>\n<br>\nThe dataset consists of the following folders:<br>\n\n<i>conditions_demographics</i>: Includes a single csv file describing the experimental condition (Baseline, Unfamiliar, Unimodal), absolute age difference, mean age, handedness, and gender for each pair.<br>\n\n<i>gaze_indicators</i>: Includes a numpy array for each participant in each round of the game. The numpy array contains indicators for each frame (with timestamps) showing which AOI of the user interface of the bargaining game the participant was looking at.<br>\n\n<i>mocap</i>: Includes an HDF5 file for each pair in each round of the game. The HDF5 file contains the position, velocity, quaternion, acceleration, and angular velocity of the inertial motion capture sensor placed on the head of participants, and the corresponding timestamps.<br>\n\n<i>prosody_speech</i>: Includes a single pickle file containing the speech activity time series, pitch time series, intensity times series, speech rate, absolute and relative speech time for each participant in each round of the game. Signals were downsampled to 200 Hz.<br>\n\n<i>pupil_Gondor</i>: Includes two HDF5 files for each participant in each round of the game sitting in one of the labs (called the \"Gondor\" lab). The first HDF5 file contains the pre-processed pupil diameter timeseries without brightness regression, and the corresponding timestamps. The second HDF5 file contains the pre-processed pupil diameter time series after regressing out brightness, and the corresponding timestamps.</br>\n\n<i>pupil_Mordor</i>: Includes two HDF5 files for each participant in each round of the game sitting in one of the labs (called the \"Mordor\" lab). The first HDF5 file contains the pre-processed pupil diameter timeseries without brightness regression, and the corresponding timestamps. The second HDF5 file contains the pre-processed pupil diameter time series after regressing out brightness, and the corresponding timestamps.</br>\n\n<i>survey_items</i>: Includes a single csv file. The csv file contains the survey ratings of each participant after each round of the game. The survey had 13 items: item1 (Perceived Difficulty), item2 (Naturalness of Conversation), item3 (Rapport), item4 (Liking), item5 (Disagreement), item6 (Perceived_Synchrony), item7 (Difference in Leading), item8 (Pleasantness of the Task), item9 (Surprisal of Behavior), item10 (Truthfulness), item11 (Individual Task Performance), item12 (Efficiency in Trading), item13 (Predictability_of_the_Partner).<br>\n\n<i>timing_info</i>: Includes one mat file for each participant in each round of the game. The mat files contains the timestamp for the start time (sharedStartTime) and stop time (stopCaptureTime) of the recording.<br>\n<br>\n<b>Interacting with the files</b>\n<br>\nAll time series data are timestamped. Only samples with timestamps between the start time (sharedStartTime in the timing info files) and stop time (stopCaptureTime in the timing info files) of the recording should be considered for analysis.<br>\nNumpy and pickle files can be conveniently loaded and processed with Python.<br>\nMat files can be loaded with Octave or Matlab, or also with Python using the loadmat method of the scipy library. <br>\nHDF5 files can be loaded and explored using several tools, we recommend the h5py package in Python or the high-level functions for HDF5 files in Matlab (e.g. h5disp, h5read).<br>\n<br>\n<b>Notes on data acquisition</b>\n<br>\nData acquisition computers were part of the same Local Area Network, with one of them running an NTP server and the rest NTP clients (chrony, chrony-project.org). Synchronization was enforced at the beginning of each experiment. Clock offsets and drifts were estimated both with the NTP software and with timestamped network packets. Audio and video communication was implemented via low-latency streams (180 ms across laboratories). Webcams used for video communication had a frame rate of 30 frames per second. The jitter in the latency of streams was less than 1 frame (less than ~33 ms).","subject":"Medicine, Health and Life Sciences","depositor":"Nagy, Péter","dateOfDeposit":"2025-01-21","datasetContact":{"datasetContactName":"Nagy, Péter","datasetContactAffiliation":"HUN-REN Research Centre for Natural Sciences","datasetContactEmail":"nagy.peter.ssprg@ttk.hu"},"grantNumber":[{"grantNumberAgency":"National Research, Development and Innovation Office of Hungary","grantNumberValue":"K132642"},{"grantNumberAgency":"Office of Naval Research","grantNumberValue":"N62909-23-1-2025"}],"author":[{"authorName":"Nagy, Péter","authorAffiliation":"HUN-REN Research Centre for Natural Sciences"},{"authorName":"Béres, Luca","authorAffiliation":"HUN-REN Research Centre for Natural Sciences"},{"authorName":"Boncz, Ádám","authorAffiliation":"HUN-REN Research Centre for Natural Sciences"},{"authorName":"Winkler, István","authorAffiliation":"HUN-REN Research Centre for Natural Sciences"}],"dsDescription":{"dsDescriptionValue":"Here, we deposited a dataset collected in a psychological experiment focusing on the role of prediction and interpersonal synchronization in face-to-face communication. Speech (to estimate coordination in prosody and speech characteristics), gaze direction (to assess gaze coordination), pupil size (to assess pupil size coordination), and head motion (to calculate head motion coordination) were recorded simultaneously from two participants, while they solved a communicative task (bargaining game) designed to elicit naturalistic conversation similar to everyday situations. \nSpeech was recorded with stage microphones (HSE-150/SK) attached to IMG Stageline EMA-1 adapters and sampled by ESI Maya22 audio interfaces at 44100 Hz.\nPupil size and gaze position were recorded with the Pupil Core eye tracker. The sampling rate was 60 Hz for the world camera, and 120 Hz for the eye camera.\nFor motion capture, an inertial motion capture system was used (Perception Neuron 32). The dataset contains only the signals recorded with the sensor on the head. The sampling rate was 120 Hz.\nThe dataset is embargoed until 30/06/2027. If you would like to access the data earlier, please contact Péter Nagy (nagy.peter.ssprg@ttk.hu).\nFurther details can be found below (see Notes)."},"@id":"https://hdl.handle.net/21.15109/ARP/0BDBAT","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.2","schema:name":"Face-To-Face Communication Dataset","schema:dateModified":"2025-07-30 16:02:26.364","schema:datePublished":"2025-06-25","schema:creativeWorkStatus":"RELEASED","schema:license":"http://creativecommons.org/licenses/by-nc/4.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":true},"schema:includedInDataCatalog":"ARP","schema:isPartOf":{"schema:name":"Sound and Speech Perception Research Group","@id":"https://repo.researchdata.hu/dataverse/sound_and_speech_perception_research_group","schema:isPartOf":{"schema:name":"Institute of Cognitive Neuroscience and Psychology","@id":"https://repo.researchdata.hu/dataverse/kpi","schema:isPartOf":{"schema:name":"Research Centre for Natural Sciences (TTK)","@id":"https://repo.researchdata.hu/dataverse/ttk","schema:description":"Dataverse for the HUN-REN Research Centre for Natural Sciences","schema:isPartOf":{"schema:name":"Hungarian Research Network","@id":"https://repo.researchdata.hu/dataverse/hun-ren","schema:description":"<h2>A HUN-REN Magyar Kutatási Hálózat intézményi tárolója</h2>\nA HUN-REN Magyar Kutatási Hálózat a magyar tudományos élet alappillérét jelentő kutatási hálózat. A hálózat tizenegy kutatóközpontjának, hét kutatóintézetének, továbbá egyetemeken és más közintézményekben működő 116 támogatott kutatócsoportjának kutatói a matematikai és természettudományok, az élettudományok, illetve a bölcsészet- és társadalomtudományok legváltozatosabb területein végeznek alap- és alkalmazott kutatásokat.","schema:isPartOf":{"schema:name":"ARP","@id":"https://repo.researchdata.hu/dataverse/root","schema:description":"This is the root dataverse collection for HUN-REN 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RP/0BDBAT/SFP72X","hdl:21.15109/ARP/0BDBAT/4YJT7Z","hdl:21.15109/ARP/0BDBAT/M8VATX","hdl:21.15109/ARP/0BDBAT/F8SF0D","hdl:21.15109/ARP/0BDBAT/NVVXVL","hdl:21.15109/ARP/0BDBAT/VFWBEC","hdl:21.15109/ARP/0BDBAT/AXVJ6Y","hdl:21.15109/ARP/0BDBAT/FQVHQW","hdl:21.15109/ARP/0BDBAT/E5OXTB","hdl:21.15109/ARP/0BDBAT/AMPAUO","hdl:21.15109/ARP/0BDBAT/QL3YPV","hdl:21.15109/ARP/0BDBAT/ESCDHR","hdl:21.15109/ARP/0BDBAT/GXXNAN","hdl:21.15109/ARP/0BDBAT/LS8XO3","hdl:21.15109/ARP/0BDBAT/GHKDDA","hdl:21.15109/ARP/0BDBAT/P4USWK","hdl:21.15109/ARP/0BDBAT/1AKG6F","hdl:21.15109/ARP/0BDBAT/EXZB9R","hdl:21.15109/ARP/0BDBAT/TLXKTZ","hdl:21.15109/ARP/0BDBAT/HQZ3EA","hdl:21.15109/ARP/0BDBAT/XXANXG","hdl:21.15109/ARP/0BDBAT/9ITSWF","hdl:21.15109/ARP/0BDBAT/9DO5W9","hdl:21.15109/ARP/0BDBAT/SHY8KF","hdl:21.15109/ARP/0BDBAT/H7OISS","hdl:21.15109/ARP/0BDBAT/7JH3TI","hdl:21.15109/ARP/0BDBAT/YX36CX","hdl:21.15109/ARP/0BDBAT/K8SSVY","hdl:21.15109/ARP/0BDBAT/FCBQHY","hdl:21.15109/ARP/0BDBAT/UJPDEU","hdl:21.15109/ARP/0BDBAT/GZDUMT","hdl:21.15109/ARP/0BDBAT/JHRNUJ","hdl:21.15109/ARP/0BDBAT/NOGQJH","hdl:21.15109/ARP/0BDBAT/VWY7JK","hdl:21.15109/ARP/0BDBAT/A6UPVL","hdl:21.15109/ARP/0BDBAT/6Z5VQZ","hdl:21.15109/ARP/0BDBAT/WWQP7U","hdl:21.15109/ARP/0BDBAT/68A7YP","hdl:21.15109/ARP/0BDBAT/QX7MCF","hdl:21.15109/ARP/0BDBAT/Z5H16S","hdl:21.15109/ARP/0BDBAT/61ZWNM","hdl:21.15109/ARP/0BDBAT/CJIZWC","hdl:21.15109/ARP/0BDBAT/XWR3PH","hdl:21.15109/ARP/0BDBAT/948DE4","hdl:21.15109/ARP/0BDBAT/DTHJE4","hdl:21.15109/ARP/0BDBAT/0YXZYF","hdl:21.15109/ARP/0BDBAT/WJW3H1","hdl:21.15109/ARP/0BDBAT/ECL5K3","hdl:21.15109/ARP/0BDBAT/P75SIJ","hdl:21.15109/ARP/0BDBAT/04KPQ6","hdl:21.15109/ARP/0BDBAT/YCRFH3","hdl:21.15109/ARP/0BDBAT/AXLGBB","hdl:21.15109/ARP/0BDBAT/U6FWWA","hdl:21.15109/ARP/0BDBAT/7ECTYL","hdl:21.15109/ARP/0BDBAT/LIBOLO","hdl:21.15109/ARP/0BDBAT/EHZDMG","hdl:21.15109/ARP/0BDBAT/6QHRUQ","hdl:21.15109/ARP/0BDBAT/F2LBEA","hdl:21.15109/ARP/0BDBAT/YB3UKT","hdl:21.15109/ARP/0BDBAT/JGDCAF","hdl:21.15109/ARP/0BDBAT/WBNK3Y","hdl:21.15109/ARP/0BDBAT/NIV5UZ","hdl:21.15109/ARP/0BDBAT/XFRQXF","hdl:21.15109/ARP/0BDBAT/0E4UYK","hdl:21.15109/ARP/0BDBAT/VHEQMD","hdl:21.15109/ARP/0BDBAT/EXNGND","hdl:21.15109/ARP/0BDBAT/H2DEST","hdl:21.15109/ARP/0BDBAT/S4XETQ","hdl:21.15109/ARP/0BDBAT/IZJ6EO","hdl:21.15109/ARP/0BDBAT/YF8YPM","hdl:21.15109/ARP/0BDBAT/WF86P0","hdl:21.15109/ARP/0BDBAT/M4KGID","hdl:21.15109/ARP/0BDBAT/QSTQQD","hdl:21.15109/ARP/0BDBAT/1NVBYY","hdl:21.15109/ARP/0BDBAT/HG0GXP","hdl:21.15109/ARP/0BDBAT/4GBTEY","hdl:21.15109/ARP/0BDBAT/N71OES","hdl:21.15109/ARP/0BDBAT/WV60HA","hdl:21.15109/ARP/0BDBAT/OZC0X0","hdl:21.15109/ARP/0BDBAT/HZ9QV0","hdl:21.15109/ARP/0BDBAT/16RX67","hdl:21.15109/ARP/0BDBAT/JM9EJA","hdl:21.15109/ARP/0BDBAT/YCB9Y7","hdl:21.15109/ARP/0BDBAT/VKINB0","hdl:21.15109/ARP/0BDBAT/KDGWT1","hdl:21.15109/ARP/0BDBAT/HTGVUE","hdl:21.15109/ARP/0BDBAT/9BSZP9","hdl:21.15109/ARP/0BDBAT/41WPCI","hdl:21.15109/ARP/0BDBAT/B8OHUN","hdl:21.15109/ARP/0BDBAT/M7IQT4","hdl:21.15109/ARP/0BDBAT/LDHKXZ","hdl:21.15109/ARP/0BDBAT/3R2CJO","hdl:21.15109/ARP/0BDBAT/6AELNK","hdl:21.15109/ARP/0BDBAT/N3PQLL","hdl:21.15109/ARP/0BDBAT/NWQGSY","hdl:21.15109/ARP/0BDBAT/UVGFHX","hdl:21.15109/ARP/0BDBAT/RLJGAT","hdl:21.15109/ARP/0BDBAT/GMVEX8","hdl:21.15109/ARP/0BDBAT/HSXRJT","hdl:21.15109/ARP/0BDBAT/O5JEIH","hdl:21.15109/ARP/0BDBAT/7EEYSU","hdl:21.15109/ARP/0BDBAT/HYFXVR","hdl:21.15109/ARP/0BDBAT/81YKZN","hdl:21.15109/ARP/0BDBAT/WNOKPJ","hdl:21.15109/ARP/0BDBAT/BLXGBX","hdl:21.15109/ARP/0BDBAT/BBZLL1","hdl:21.15109/ARP/0BDBAT/P2JWOO","hdl:21.15109/ARP/0BDBAT/XDNQLK","hdl:21.15109/ARP/0BDBAT/HGVYBY","hdl:21.15109/ARP/0BDBAT/RVNPJR","hdl:21.15109/ARP/0BDBAT/LBRAGC","hdl:21.15109/ARP/0BDBAT/HFVKJW","hdl:21.15109/ARP/0BDBAT/7H8VMI","hdl:21.15109/ARP/0BDBAT/MCMJ5O","hdl:21.15109/ARP/0BDBAT/MKBBBO","hdl:21.15109/ARP/0BDBAT/VNEDWR","hdl:21.15109/ARP/0BDBAT/FQDPT5","hdl:21.15109/ARP/0BDBAT/HFWTZD","hdl:21.15109/ARP/0BDBAT/MPOSI4","hdl:21.15109/ARP/0BDBAT/JPP69I","hdl:21.15109/ARP/0BDBAT/LLW5DM","hdl:21.15109/ARP/0BDBAT/WSZHBY","hdl:21.15109/ARP/0BDBAT/HD2YY3","hdl:21.15109/ARP/0BDBAT/VD4XZC","hdl:21.15109/ARP/0BDBAT/TLPZO4","hdl:21.15109/ARP/0BDBAT/W9K4ET","hdl:21.15109/ARP/0BDBAT/MJZ8KQ","hdl:21.15109/ARP/0BDBAT/0U8MDS","hdl:21.15109/ARP/0BDBAT/RJDHPP","hdl:21.15109/ARP/0BDBAT/DVS9HJ","hdl:21.15109/ARP/0BDBAT/CA5BH3","hdl:21.15109/ARP/0BDBAT/3HOM11","hdl:21.15109/ARP/0BDBAT/BQK6AZ","hdl:21.15109/ARP/0BDBAT/MKWE96","hdl:21.15109/ARP/0BDBAT/2CYDBO","hdl:21.15109/ARP/0BDBAT/ZGU6ME","hdl:21.15109/ARP/0BDBAT/M7WGPO","hdl:21.15109/ARP/0BDBAT/PA4ED3","hdl:21.15109/ARP/0BDBAT/RMGFWP","hdl:21.15109/ARP/0BDBAT/2SFGSE","hdl:21.15109/ARP/0BDBAT/L7XU1S","hdl:21.15109/ARP/0BDBAT/OU0DHO","hdl:21.15109/ARP/0BDBAT/K167YB","hdl:21.15109/ARP/0BDBAT/G3QQV9","hdl:21.15109/ARP/0BDBAT/YMVBMF","hdl:21.15109/ARP/0BDBAT/CZTJCA","hdl:21.15109/ARP/0BDBAT/NPT94C","hdl:21.15109/ARP/0BDBAT/1ITMXS","hdl:21.15109/ARP/0BDBAT/0XW2DI","hdl:21.15109/ARP/0BDBAT/NX7CWD","hdl:21.15109/ARP/0BDBAT/27DHUC","hdl:21.15109/ARP/0BDBAT/3P39FR"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