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Hochschule Bielefeld, 2024. <a href=\"https://doi.org/10.5281/zenodo.10528219\">https://doi.org/10.5281/zenodo.10528219</a>.","short":"I. Jagemann, M. Stegemann, R. von Brachel, G. Hirschfeld, Gender Differences in Preferences for Mental Health Apps in the General Population – A Choice-Based Conjoint Analysis from Germany, Hochschule Bielefeld, 2024.","mla":"Jagemann, Inga, et al. <i>Gender Differences in Preferences for Mental Health Apps in the General Population – A Choice-Based Conjoint Analysis from Germany</i>. Hochschule Bielefeld, 2024, doi:<a href=\"https://doi.org/10.5281/zenodo.10528219\">10.5281/zenodo.10528219</a>.","ama":"Jagemann I, Stegemann M, von Brachel R, Hirschfeld G. <i>Gender Differences in Preferences for Mental Health Apps in the General Population – A Choice-Based Conjoint Analysis from Germany</i>. Hochschule Bielefeld; 2024. doi:<a href=\"https://doi.org/10.5281/zenodo.10528219\">10.5281/zenodo.10528219</a>","ieee":"I. Jagemann, M. 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(2024). <i>Gender differences in preferences for mental health apps in the general population – A Choice-based Conjoint Analysis from Germany</i>. Hochschule Bielefeld. <a href=\"https://doi.org/10.5281/zenodo.10528219\">https://doi.org/10.5281/zenodo.10528219</a>"},"publisher":"Hochschule Bielefeld","date_updated":"2026-03-17T15:29:14Z","title":"Gender differences in preferences for mental health apps in the general population – A Choice-based Conjoint Analysis from Germany","doi":"10.5281/zenodo.10528219","date_created":"2024-12-19T14:18:07Z","user_id":"234690","type":"research_data","year":"2024","_id":"5195","keyword":["gender preferences","discrete choice experiment","mental health treatment","artificial intelligence"]},{"language":[{"iso":"eng"}],"year":"2022","_id":"1799","article_number":"2481","status":"public","citation":{"chicago":"Vandevoorde, Koenraad, Lukas Vollenkemper, Constanze Schwan, Martin Kohlhase, and Wolfram Schenck. “Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.” <i>Sensors</i> 22, no. 7 (2022). <a href=\"https://doi.org/10.3390/s22072481\">https://doi.org/10.3390/s22072481</a>.","short":"K. 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Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks. <i>Sensors</i>, <i>22</i>(7). <a href=\"https://doi.org/10.3390/s22072481\">https://doi.org/10.3390/s22072481</a>","bibtex":"@article{Vandevoorde_Vollenkemper_Schwan_Kohlhase_Schenck_2022, title={Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks}, volume={22}, DOI={<a href=\"https://doi.org/10.3390/s22072481\">10.3390/s22072481</a>}, number={72481}, journal={Sensors}, publisher={MDPI AG}, author={Vandevoorde, Koenraad and Vollenkemper, Lukas and Schwan, Constanze and Kohlhase, Martin and Schenck, Wolfram}, year={2022} }","alphadin":"<span style=\"font-variant:small-caps;\">Vandevoorde, Koenraad</span> ; <span style=\"font-variant:small-caps;\">Vollenkemper, Lukas</span> ; <span style=\"font-variant:small-caps;\">Schwan, Constanze</span> ; <span style=\"font-variant:small-caps;\">Kohlhase, Martin</span> ; <span style=\"font-variant:small-caps;\">Schenck, Wolfram</span>: Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks. In: <i>Sensors</i> Bd. 22, MDPI AG (2022), Nr. 7"},"author":[{"first_name":"Koenraad","id":"242844","last_name":"Vandevoorde","full_name":"Vandevoorde, Koenraad"},{"id":"245570","first_name":"Lukas","last_name":"Vollenkemper","full_name":"Vollenkemper, Lukas"},{"full_name":"Schwan, Constanze","last_name":"Schwan","first_name":"Constanze"},{"id":"226669","first_name":"Martin","last_name":"Kohlhase","full_name":"Kohlhase, Martin","orcid":"0009-0002-9374-0720"},{"last_name":"Schenck","orcid":"0000-0003-3300-2048","full_name":"Schenck, Wolfram","first_name":"Wolfram","id":"224375"}],"publisher":"MDPI AG","date_updated":"2026-03-17T15:28:25Z","intvolume":"        22","doi":"10.3390/s22072481","user_id":"245590","main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/1424-8220/22/7/2481"}],"type":"journal_article","file":[{"file_name":"sensors-22-02481-v3.pdf","file_size":2869767,"content_type":"application/pdf","date_updated":"2022-04-04T10:07:48Z","success":1,"creator":"kvandevoorde","date_created":"2022-04-04T10:07:48Z","access_level":"open_access","relation":"main_file","file_id":"1800"}],"publication_identifier":{"eissn":["1424-8220"]},"oa":"1","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png"},"has_accepted_license":"1","publication":"Sensors","publication_status":"published","issue":"7","keyword":["motor learning","motor skill learning","assistance system","artificial intelligence","machine learning","pose estimation","action recognition","human motion analysis"],"urn":"urn:nbn:de:hbz:bi10-17992","quality_controlled":"1","volume":22,"file_date_updated":"2022-04-04T10:07:48Z","title":"Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks","date_created":"2022-04-04T10:08:43Z"}]