{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T16:13:16Z","timestamp":1764000796588,"version":"build-2065373602"},"reference-count":56,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2023,3,29]],"date-time":"2023-03-29T00:00:00Z","timestamp":1680048000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"German Research Foundation DFG, as part of the Collaborative Research Center (Sonderforschungsbereich)","award":["1320 Project-ID 329551904 \u201cEASE\u2014Everyday Activity Science and Engineering\u201d","TRR318\/1 2021\u2013438445824"],"award-info":[{"award-number":["1320 Project-ID 329551904 \u201cEASE\u2014Everyday Activity Science and Engineering\u201d","TRR318\/1 2021\u2013438445824"]}]},{"name":"subprojects H03 and H04","award":["1320 Project-ID 329551904 \u201cEASE\u2014Everyday Activity Science and Engineering\u201d","TRR318\/1 2021\u2013438445824"],"award-info":[{"award-number":["1320 Project-ID 329551904 \u201cEASE\u2014Everyday Activity Science and Engineering\u201d","TRR318\/1 2021\u2013438445824"]}]},{"name":"TRR 318 \u201cConstructing Explainability\u201d","award":["1320 Project-ID 329551904 \u201cEASE\u2014Everyday Activity Science and Engineering\u201d","TRR318\/1 2021\u2013438445824"],"award-info":[{"award-number":["1320 Project-ID 329551904 \u201cEASE\u2014Everyday Activity Science and Engineering\u201d","TRR318\/1 2021\u2013438445824"]}]},{"name":"High-Profile Area Minds, Media, Machines, at the University of Bremen","award":["1320 Project-ID 329551904 \u201cEASE\u2014Everyday Activity Science and Engineering\u201d","TRR318\/1 2021\u2013438445824"],"award-info":[{"award-number":["1320 Project-ID 329551904 \u201cEASE\u2014Everyday Activity Science and Engineering\u201d","TRR318\/1 2021\u2013438445824"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["MTI"],"abstract":"<jats:p>In this paper, we investigate the effect of distractions and hesitations as a scaffolding strategy. Recent research points to the potential beneficial effects of a speaker\u2019s hesitations on the listeners\u2019 comprehension of utterances, although results from studies on this issue indicate that humans do not make strategic use of them. The role of hesitations and their communicative function in human-human interaction is a much-discussed topic in current research. To better understand the underlying cognitive processes, we developed a human\u2013robot interaction (HRI) setup that allows the measurement of the electroencephalogram (EEG) signals of a human participant while interacting with a robot. We thereby address the research question of whether we find effects on single-trial EEG based on the distraction and the corresponding robot\u2019s hesitation scaffolding strategy. To carry out the experiments, we leverage our LabLinking method, which enables interdisciplinary joint research between remote labs. This study could not have been conducted without LabLinking, as the two involved labs needed to combine their individual expertise and equipment to achieve the goal together. The results of our study indicate that the EEG correlates in the distracted condition are different from the baseline condition without distractions. Furthermore, we could differentiate the EEG correlates of distraction with and without a hesitation scaffolding strategy. This proof-of-concept study shows that LabLinking makes it possible to conduct collaborative HRI studies in remote laboratories and lays the first foundation for more in-depth research into robotic scaffolding strategies.<\/jats:p>","DOI":"10.3390\/mti7040037","type":"journal-article","created":{"date-parts":[[2023,3,29]],"date-time":"2023-03-29T03:32:25Z","timestamp":1680060745000},"page":"37","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["EEG Correlates of Distractions and Hesitations in Human\u2013Robot Interaction: A LabLinking Pilot Study"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0957-2406","authenticated-orcid":false,"given":"Birte","family":"Richter","sequence":"first","affiliation":[{"name":"Medical Assistance Systems, Medical School OWL, Bielefeld University, 33615 Bielefeld, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5203-8797","authenticated-orcid":false,"given":"Felix","family":"Putze","sequence":"additional","affiliation":[{"name":"Cognitive Systems Lab, University of Bremen, 28359 Bremen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4189-0348","authenticated-orcid":false,"given":"Gabriel","family":"Ivucic","sequence":"additional","affiliation":[{"name":"Cognitive Systems Lab, University of Bremen, 28359 Bremen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3582-3149","authenticated-orcid":false,"given":"Mara","family":"Brandt","sequence":"additional","affiliation":[{"name":"Medical Assistance Systems, Medical School OWL, Bielefeld University, 33615 Bielefeld, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8860-0478","authenticated-orcid":false,"given":"Christian","family":"Sch\u00fctze","sequence":"additional","affiliation":[{"name":"Medical Assistance Systems, Medical School OWL, Bielefeld University, 33615 Bielefeld, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1652-2412","authenticated-orcid":false,"given":"Rafael","family":"Reisenhofer","sequence":"additional","affiliation":[{"name":"Cognitive Systems Lab, University of Bremen, 28359 Bremen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1424-472X","authenticated-orcid":false,"given":"Britta","family":"Wrede","sequence":"additional","affiliation":[{"name":"Software Engineering for Cognitive Robots and Systems, University of Bremen, 28359 Bremen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9809-7028","authenticated-orcid":false,"given":"Tanja","family":"Schultz","sequence":"additional","affiliation":[{"name":"Cognitive Systems Lab, University of Bremen, 28359 Bremen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"103476","DOI":"10.1016\/j.actpsy.2021.103476","article-title":"Addressing joint action challenges in HRI: Insights from psychology and philosophy","volume":"222","author":"Belhassein","year":"2022","journal-title":"Acta Psychol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1111\/j.1467-7687.2007.00573.x","article-title":"Shared intentionality","volume":"1","author":"Tomasello","year":"2007","journal-title":"Dev. Sci."},{"key":"ref_3","unstructured":"Clark, H.H. (1996). Using Language, Cambridge University Press."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1111\/j.1756-8765.2009.01020.x","article-title":"Joint action, interactive alignment, and dialog","volume":"1","author":"Garrod","year":"2009","journal-title":"Top. Cogn. Sci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/jos\/9.1.1","article-title":"On the semantics and pragmatics of linguistic feedback","volume":"9","author":"Allwood","year":"1992","journal-title":"J. Semant."},{"key":"ref_6","unstructured":"Klotz, D., Wienke, J., Peltason, J., Wrede, B., Wrede, S., Khalidov, V., and Odobez, J.M. (2011, January 17\u201318). Engagement-based Multi-party Dialog with a Humanoid Robot. Proceedings of the SIGDIAL 2011 Conference, Portland, OR, USA."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Rogers, T.E., Sekmen, A.S., and Peng, J. (2006, January 6\u20138). Attention Mechanisms for Social Engagements of Robots with Multiple People. Proceedings of the ROMAN 2006\u2014The 15th IEEE International Symposium on Robot and Human Interactive Communication, Hatfield, UK.","DOI":"10.1109\/ROMAN.2006.314456"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Salam, H., and Chetouani, M. (2015, January 4\u20138). A multi-level context-based modeling of engagement in Human-Robot Interaction. Proceedings of the IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), Ljubljana, Slovenia.","DOI":"10.1109\/FG.2015.7284845"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Carlmeyer, B., Schlangen, D., and Wrede, B. (2016, January 16). Exploring self-interruptions as a strategy for regaining the attention of distracted users. Proceedings of the 1st Workshop on Embodied Interaction with Smart Environments, Tokyo, Japan.","DOI":"10.1145\/3008028.3008029"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Carlmeyer, B., Betz, S., Wagner, P., Wrede, B., and Schlangen, D. (2018, January 5\u20138). The Hesitating Robot\u2014Implementation and First Impressions. Proceedings of the Companion of the 2018 ACM\/IEEE International Conference on Human-Robot Interaction, HRI \u201918, New York, NY, USA.","DOI":"10.1145\/3173386.3176992"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1111\/j.1749-818X.2008.00068.x","article-title":"Hesitation Disfluencies in Spontaneous Speech: The Meaning of um","volume":"2","author":"Corley","year":"2008","journal-title":"Lang. Linguist. Compass"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"921","DOI":"10.3758\/s13423-012-0279-x","article-title":"Disfluency in Dialogue: An Intentional Signal from the Speaker?","volume":"19","author":"Finlayson","year":"2012","journal-title":"Psychon. Bull. Rev."},{"key":"ref_13","unstructured":"Shriberg, E. (1996, January 3\u20136). Disfluencies in Switchboard. Proceedings of the 4th International Conference on Spoken Language Processing, Philadelphia, PA, USA."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.jcomdis.2004.03.002","article-title":"Descriptive discourse: Topic familiarity and disfluencies","volume":"37","author":"Merlo","year":"2004","journal-title":"J. Commun. Disord."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1006\/jmla.1993.1002","article-title":"On the course of answering questions","volume":"32","author":"Smith","year":"1993","journal-title":"J. Mem. Lang."},{"key":"ref_16","unstructured":"Collard, P. (2009). Disfluency and Listeners\u2019 Attention: An Investigation of the Immediate and Lasting Effects of Hesitations in Speech. [Ph.D. Thesis, University of Edinburgh]."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.jml.2011.03.004","article-title":"The disfluent discourse: Effects of filled pauses on recall","volume":"65","author":"Fraundorf","year":"2011","journal-title":"J. Mem. Lang."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Schultz, T., Putze, F., Fehr, T., Meier, M., Mason, C., Ahrens, F., and Herrmann, M. (2021). Linking Labs: Interconnecting Experimental Environments. bioRxiv.","DOI":"10.1101\/2021.02.09.430407"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Gro\u00df, A., Sch\u00fctze, C., Wrede, B., and Richter, B. (2022, January 7\u201311). An Architecture Supporting Configurable Autonomous Multimodal Joint-Attention-Therapy for Various Robotic Systems. Proceedings of the Companion Publication of the 2022 International Conference on Multimodal Interaction, New York, NY, USA.","DOI":"10.1145\/3536220.3558070"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Sch\u00fctze, C., Gro\u00df, A., Wrede, B., and Richter, B. (2022, January 7\u201311). Enabling Non-Technical Domain Experts to Create Robot-Assisted Therapeutic Scenarios via Visual Programming. Proceedings of the Companion Publication of the 2022 International Conference on Multimodal Interaction, ACM, New York, NY, USA.","DOI":"10.1145\/3536220.3558072"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Hegel, F., Muhl, C., Wrede, B., Hielscher-Fastabend, M., and Sagerer, G. (2009, January 1\u20137). Understanding Social Robots. Proceedings of the Int. Conf. Advances in Computer-Human Interactions (ACHI), Cancun, Mexico.","DOI":"10.1109\/ACHI.2009.51"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Schultz, T., and Maedche, A. (Springer Nat. Appl. Sci., 2023). Biosignals meet Adaptive Systems, Springer Nat. Appl. Sci., in press.","DOI":"10.1007\/s42452-023-05412-w"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Meier, M., Mason, C., Putze, F., and Schultz, T. (2019, January 15\u201319). Comparative Analysis of Think-Aloud Methods for Everyday Activities in the Context of Cognitive Robotics. Proceedings of the Interspeech, Graz, Austria.","DOI":"10.21437\/Interspeech.2019-3072"},{"key":"ref_24","unstructured":"Schultz, T. (2019, January 15\u201319). Biosignal Processing for Human-Machine Interaction. Proceedings of the Interspeech, Graz, Austria. Available online: https:\/\/www.youtube.com\/watch?v=F0-r6V6wNRA."},{"key":"ref_25","unstructured":"Schultz, T., and Kirchhoff, K. (2006). Multilingual Speech Processing, Academic Press."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Mason, C., Gadzicki, K., Meier, M., Ahrens, F., Kluss, T., Maldonado, J., Putze, F., Fehr, T., Zetzsche, C., and Herrmann, M. (2020, January 25\u201329). From Human to Robot Everyday Activity. Proceedings of the 2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA.","DOI":"10.1109\/IROS45743.2020.9340706"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"658","DOI":"10.1016\/j.cognition.2006.10.010","article-title":"It\u2019s the way that you, er, say it: Hesitations in speech affect language comprehension","volume":"105","author":"Corley","year":"2007","journal-title":"Cognition"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1146\/annurev.psych.093008.100427","article-title":"A taxonomy of external and internal attention","volume":"62","author":"Chun","year":"2011","journal-title":"Annu. Rev. Psychol."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Vortmann, L.M., and Putze, F. (2020, January 25\u201330). Attention-aware brain computer interface to avoid distractions in augmented reality. Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA.","DOI":"10.1145\/3334480.3382889"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"117402","DOI":"10.1016\/j.eswa.2022.117402","article-title":"SAFECAR: A Brain\u2013Computer Interface and intelligent framework to detect drivers\u2019 distractions","volume":"203","author":"Bernal","year":"2022","journal-title":"Expert Syst. Appl."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Salous, M., K\u00fcster, D., Scheck, K., Dikfidan, A., Neumann, T., Putze, F., and Schultz, T. (2022, January 9\u201312). SmartHelm: User Studies from Lab to Field for Attention Modeling. Proceedings of the 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, Prague, Czech Republic.","DOI":"10.1109\/SMC53654.2022.9945155"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"5297","DOI":"10.1038\/s41598-021-84447-8","article-title":"High-wearable EEG-based distraction detection in motor rehabilitation","volume":"11","author":"Apicella","year":"2021","journal-title":"Sci. Rep."},{"key":"ref_33","unstructured":"Richter, B. (2021). The Attention-Hesitation Model. A Non-Intrusive Intervention Strategy for Incremental Smart Home Dialogue Management. [Ph.D. Thesis, Bielefeld University]."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Carlmeyer, B., Schlangen, D., and Wrede, B. (2016, January 4\u20137). \u201cLook at Me!\u201d: Self-Interruptions as Attention Booster?. Proceedings of the Fourth International Conference on Human Agent Interaction, HAI \u201916, New York, NY, USA.","DOI":"10.1145\/2974804.2980488"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Betz, S., Carlmeyer, B., Wagner, P., and Wrede, B. (2018). Interactive Hesitation Synthesis: Modelling and Evaluation. Multimodal Technol. Interact., 2.","DOI":"10.3390\/mti2010009"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"L\u00fccking, P., Lier, F., Bernotat, J., Wachsmuth, S., \u015cabanovi\u0107, S., and Eyssel, F. (2018, January 5\u20138). Geographically distributed deployment of reproducible HRI experiments in an interdisciplinary research context. Proceedings of the Companion of the 2018 ACM\/IEEE International Conference on Human-Robot Interaction, Chicago, IL, USA.","DOI":"10.1145\/3173386.3176963"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/j.cortex.2021.03.013","article-title":"# EEGManyLabs: Investigating the replicability of influential EEG experiments","volume":"144","author":"Pavlov","year":"2021","journal-title":"Cortex"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.ijpsycho.2021.12.008","article-title":"Dementia ConnEEGtome: Towards multicentric harmonization of EEG connectivity in neurodegeneration","volume":"172","author":"Prado","year":"2022","journal-title":"Int. J. Psychophysiol."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1664","DOI":"10.1109\/TASE.2019.2911667","article-title":"Development of a human\u2013robot hybrid intelligent system based on brain teleoperation and deep learning SLAM","volume":"16","author":"Li","year":"2019","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"103523","DOI":"10.1016\/j.autcon.2020.103523","article-title":"Brain-computer interface for hands-free teleoperation of construction robots","volume":"123","author":"Liu","year":"2021","journal-title":"Autom. Constr."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1109\/THMS.2021.3137035","article-title":"Shared intelligence for robot teleoperation via bmi","volume":"52","author":"Beraldo","year":"2022","journal-title":"IEEE Trans. Hum.-Mach. Syst."},{"key":"ref_42","unstructured":"Quigley, M., Gerkey, B., Conley, K., Faust, J., Foote, T., Leibs, J., Berger, E., Wheeler, R., and Ng, A. (2009, January 31). ROS: An open-source Robot Operating System. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) Workshop on Open Source Robotics, Kobe, Japan."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Lier, F., Wienke, J., Nordmann, A., Wachsmuth, S., and Wrede, S. (2014, January 20\u201323). The cognitive interaction toolkit\u2013improving reproducibility of robotic systems experiments. Proceedings of the Simulation, Modeling, and Programming for Autonomous Robots: 4th International Conference, SIMPAR 2014, Bergamo, Italy.","DOI":"10.1007\/978-3-319-11900-7_34"},{"key":"ref_44","unstructured":"(2023, March 22). Ros-Drivers. Ros-Drivers\/Video_Stream_Opencv: A Package to Open Video Streams and Publish Them in Ros Using the OPENCV Videocapture Mechanism. Available online: https:\/\/github.com\/ros-drivers\/video_stream_opencvBranch:master,commit:65949bd."},{"key":"ref_45","unstructured":"(2023, March 22). GStreamer. GStreamer\/Gstreamer: Gstreamer Open-Source Multimedia Framework. Available online: https:\/\/github.com\/GStreamer\/gstreamer."},{"key":"ref_46","unstructured":"(2023, March 22). Ros-Naoqi. Ros-Naoqi\/Naoqi_Driver: C++ Bridge Based on Libqi. Available online: https:\/\/github.com\/ros-naoqi\/naoqi_driverBranch:master,commit:a2dd658."},{"key":"ref_47","unstructured":"Betz, S., Wagner, P., and Vo\u00dfe, J. (2016, January 12\u201314). Deriving a strategy for synthesizing lengthening disfluencies based on spontaneous conversational speech data. Proceedings of the Tagungsband Der 12, Tagung Phonetik und Phonologie im Deutschsprachigen Raum, M\u00fcnchen, Germany."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1016\/j.neuroimage.2013.10.027","article-title":"MNE software for processing MEG and EEG data","volume":"86","author":"Gramfort","year":"2014","journal-title":"Neuroimage"},{"key":"ref_49","first-page":"2825","article-title":"Scikit-learn: Machine Learning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"560","DOI":"10.3389\/fpsyg.2013.00560","article-title":"Young and restless: Validation of the Mind-Wandering Questionnaire (MWQ) reveals disruptive impact of mind-wandering for youth","volume":"4","author":"Mrazek","year":"2013","journal-title":"Front. Psychol."},{"key":"ref_51","first-page":"1","article-title":"Investigating MOS-X Ratings of Synthetic and Human Voices","volume":"2","author":"Lewis","year":"2018","journal-title":"Assoc. Voice Interact. Des."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1606","DOI":"10.1162\/jocn_a_01303","article-title":"Neural encoding of attended continuous speech under different types of interference","volume":"30","author":"Olguin","year":"2018","journal-title":"J. Cogn. Neurosci."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"620","DOI":"10.1523\/JNEUROSCI.3631-09.2010","article-title":"Attentional gain control of ongoing cortical speech representations in a \u201ccocktail party\u201d","volume":"30","author":"Kerlin","year":"2010","journal-title":"J. Neurosci."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.bandl.2014.05.003","article-title":"Theta-band phase tracking in the two-talker problem","volume":"135","author":"Hambrook","year":"2014","journal-title":"Brain Lang."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1152\/jn.00297.2011","article-title":"Neural coding of continuous speech in auditory cortex during monaural and dichotic listening","volume":"107","author":"Ding","year":"2012","journal-title":"J. Neurophysiol."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3490554","article-title":"Understanding hci practices and challenges of experiment reporting with brain signals: Towards reproducibility and reuse","volume":"29","author":"Putze","year":"2022","journal-title":"ACM Trans. Comput.-Hum. Interact. (TOCHI)"}],"container-title":["Multimodal Technologies and Interaction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2414-4088\/7\/4\/37\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:05:39Z","timestamp":1760123139000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2414-4088\/7\/4\/37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,29]]},"references-count":56,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2023,4]]}},"alternative-id":["mti7040037"],"URL":"https:\/\/doi.org\/10.3390\/mti7040037","relation":{},"ISSN":["2414-4088"],"issn-type":[{"type":"electronic","value":"2414-4088"}],"subject":[],"published":{"date-parts":[[2023,3,29]]}}}