[{"_id":"7159","intvolume":"         5","citation":{"chicago":"Jagemann, Inga, Justin Baudisch, Thorsten Jungeblut, Günter W Maier, and Gerrit Hirschfeld. “Consumer Preferences for AI-Based Smart Home Medical Emergency Detection Among German Adults: Choice-Based Conjoint Analysis.” <i>JMIR AI</i> 5 (2026): e94589–e94589. <a href=\"https://doi.org/10.2196/94589\">https://doi.org/10.2196/94589</a>.","apa":"Jagemann, I., Baudisch, J., Jungeblut, T., Maier, G. W., &#38; Hirschfeld, G. (2026). Consumer Preferences for AI-Based Smart Home Medical Emergency Detection Among German Adults: Choice-Based Conjoint Analysis. <i>JMIR AI</i>, <i>5</i>, e94589–e94589. <a href=\"https://doi.org/10.2196/94589\">https://doi.org/10.2196/94589</a>","ama":"Jagemann I, Baudisch J, Jungeblut T, Maier GW, Hirschfeld G. Consumer Preferences for AI-Based Smart Home Medical Emergency Detection Among German Adults: Choice-Based Conjoint Analysis. <i>JMIR AI</i>. 2026;5:e94589-e94589. doi:<a href=\"https://doi.org/10.2196/94589\">10.2196/94589</a>","bibtex":"@article{Jagemann_Baudisch_Jungeblut_Maier_Hirschfeld_2026, title={Consumer Preferences for AI-Based Smart Home Medical Emergency Detection Among German Adults: Choice-Based Conjoint Analysis}, volume={5}, DOI={<a href=\"https://doi.org/10.2196/94589\">10.2196/94589</a>}, journal={JMIR AI}, publisher={JMIR Publications Inc.}, author={Jagemann, Inga and Baudisch, Justin and Jungeblut, Thorsten and Maier, Günter W and Hirschfeld, Gerrit}, year={2026}, pages={e94589–e94589} }","ieee":"I. Jagemann, J. Baudisch, T. Jungeblut, G. W. Maier, and G. Hirschfeld, “Consumer Preferences for AI-Based Smart Home Medical Emergency Detection Among German Adults: Choice-Based Conjoint Analysis,” <i>JMIR AI</i>, vol. 5, pp. e94589–e94589, 2026.","mla":"Jagemann, Inga, et al. “Consumer Preferences for AI-Based Smart Home Medical Emergency Detection Among German Adults: Choice-Based Conjoint Analysis.” <i>JMIR AI</i>, vol. 5, JMIR Publications Inc., 2026, pp. e94589–e94589, doi:<a href=\"https://doi.org/10.2196/94589\">10.2196/94589</a>.","alphadin":"<span style=\"font-variant:small-caps;\">Jagemann, Inga</span> ; <span style=\"font-variant:small-caps;\">Baudisch, Justin</span> ; <span style=\"font-variant:small-caps;\">Jungeblut, Thorsten</span> ; <span style=\"font-variant:small-caps;\">Maier, Günter W</span> ; <span style=\"font-variant:small-caps;\">Hirschfeld, Gerrit</span>: Consumer Preferences for AI-Based Smart Home Medical Emergency Detection Among German Adults: Choice-Based Conjoint Analysis. In: <i>JMIR AI</i> Bd. 5, JMIR Publications Inc. (2026), S. e94589–e94589","short":"I. Jagemann, J. Baudisch, T. Jungeblut, G.W. Maier, G. Hirschfeld, JMIR AI 5 (2026) e94589–e94589."},"main_file_link":[{"open_access":"1"}],"author":[{"first_name":"Inga","orcid":"0000-0002-3468-3423","last_name":"Jagemann","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-3468-3423/work/226873432","full_name":"Jagemann, Inga","id":"252878"},{"orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0001-5565-0228/work/226873433","full_name":"Baudisch, Justin","first_name":"Justin","orcid":"0000-0001-5565-0228","last_name":"Baudisch","id":"247397"},{"last_name":"Jungeblut","orcid":"0000-0001-7425-8766","first_name":"Thorsten","full_name":"Jungeblut, Thorsten","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0001-7425-8766/work/226873434","id":"242294"},{"first_name":"Günter W","last_name":"Maier","full_name":"Maier, Günter W"},{"id":"234690","full_name":"Hirschfeld, Gerrit","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-2143-4564/work/226873436","last_name":"Hirschfeld","orcid":"0000-0003-2143-4564","first_name":"Gerrit"}],"publication_status":"published","page":"e94589-e94589","date_created":"2026-09-15T22:05:30Z","date_updated":"2026-09-16T08:20:11Z","publication":"JMIR AI","status":"public","abstract":[{"text":"Background: Smart home technology powered by AI can detect anomalies and make emergency calls, enabling residents to live safely and independently. However, the adoption of such technologies for medical emergency detection remains limited.\r\n\r\nObjective: This study aimed to explore consumer preferences for AI-based smart home technology for medical emergency detection and identify predictors such as sociodemographic variables, AI literacy, and technology affinity.\r\n\r\nMethod: A sample of 300 participants (172/300, 57.33% female; 128/300, 42.67% male, aged 18‐69 years) completed a choice-based conjoint analysis (CBCA). Participants evaluated 15 choice sets describing smart home variants based on cost, location, emergency detection rate, type of sensor, and data processing.\r\n\r\nResults: Cost was the most important attribute (relative importance [RI]=41%), followed by emergency detection rate (RI=19%), data processing (RI=14%), and location (RI=14%). The type of sensor was the least important attribute (RI=9%). The preferred configuration combined an annual subscription of €70 (US $82), a 95% detection rate, wearable sensors, personalized AI, and installation in both intimate and shared rooms. Notably, 68.3% (205/300) of participants showed a positive none utility, indicating that even the optimal configuration did not overcome general reluctance to adopt such systems. While most expected correlations between sociodemographic variables and attribute importances were not observed, a significant correlation between self-reported health status and emergency detection rate was found (r=.16, P=.007). Interestingly, 61% (167/270) of participants preferred AI over human involvement in data processing, but logistic regression revealed that a significant correlation between self-reported health status and emergency detection rate was found (OR=0.58, P=.04).\r\n\r\nConclusions: These findings highlight the need to align smart home development with user preferences, emphasizing cost-effectiveness. Additionally, AI literacy plays an important role in technology adoption in the context of AI-based smart home technology. Further research is needed to understand and address the reluctance to adopt AI for medical emergency detection.","lang":"eng"}],"language":[{"iso":"eng"}],"publication_identifier":{"eissn":["2817-1705"]},"user_id":"220548","title":"Consumer Preferences for AI-Based Smart Home Medical Emergency Detection Among German Adults: Choice-Based Conjoint Analysis","oa":"1","year":"2026","publisher":"JMIR Publications Inc.","volume":5,"doi":"10.2196/94589","type":"journal_article"},{"doi":"10.1007/978-3-032-30080-5_18","type":"conference","publisher":"Springer Nature Switzerland","year":"2026","series_title":"Lecture Notes in Computer Science","place":"Cham","title":"Improving HCI-Research Using Behavioral Measures - A Tutorial in Choice Based Conjoint Analysis","conference":{"start_date":"2026-07-26","location":"Montreal, QC, Canada","name":"15th International Conference, DUXU 2026, Held as Part of the 28th HCI International Conference, HCII 2026","end_date":"2026-07-31"},"user_id":"220548","language":[{"iso":"eng"}],"publication_identifier":{"isbn":["978-3-032-30079-9"],"eisbn":["978-3-032-30080-5"],"issn":["0302-9743"],"eissn":["1611-3349"]},"date_updated":"2026-07-16T15:11:45Z","publication":"Design, User Experience, and Usability. 15th International Conference, DUXU 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26–31, 2026, Proceedings, Part II","status":"public","publication_status":"published","date_created":"2026-07-08T03:02:40Z","page":"268-279","editor":[{"first_name":"Martin","last_name":"Schrepp","full_name":"Schrepp, Martin"}],"author":[{"id":"234690","orcid":"0000-0003-2143-4564","last_name":"Hirschfeld","first_name":"Gerrit","full_name":"Hirschfeld, Gerrit","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-2143-4564/work/220901189"},{"id":"252878","full_name":"Jagemann, Inga","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-3468-3423/work/220901191","last_name":"Jagemann","orcid":"0000-0002-3468-3423","first_name":"Inga"}],"citation":{"ama":"Hirschfeld G, Jagemann I. Improving HCI-Research Using Behavioral Measures - A Tutorial in Choice Based Conjoint Analysis. In: Schrepp M, ed. <i>Design, User Experience, and Usability. 15th International Conference, DUXU 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26–31, 2026, Proceedings, Part II</i>. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland; 2026:268-279. doi:<a href=\"https://doi.org/10.1007/978-3-032-30080-5_18\">10.1007/978-3-032-30080-5_18</a>","bibtex":"@inproceedings{Hirschfeld_Jagemann_2026, place={Cham}, series={Lecture Notes in Computer Science}, title={Improving HCI-Research Using Behavioral Measures - A Tutorial in Choice Based Conjoint Analysis}, DOI={<a href=\"https://doi.org/10.1007/978-3-032-30080-5_18\">10.1007/978-3-032-30080-5_18</a>}, booktitle={Design, User Experience, and Usability. 15th International Conference, DUXU 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26–31, 2026, Proceedings, Part II}, publisher={Springer Nature Switzerland}, author={Hirschfeld, Gerrit and Jagemann, Inga}, editor={Schrepp, MartinEditor}, year={2026}, pages={268–279}, collection={Lecture Notes in Computer Science} }","short":"G. Hirschfeld, I. Jagemann, in: M. Schrepp (Ed.), Design, User Experience, and Usability. 15th International Conference, DUXU 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26–31, 2026, Proceedings, Part II, Springer Nature Switzerland, Cham, 2026, pp. 268–279.","mla":"Hirschfeld, Gerrit, and Inga Jagemann. “Improving HCI-Research Using Behavioral Measures - A Tutorial in Choice Based Conjoint Analysis.” <i>Design, User Experience, and Usability. 15th International Conference, DUXU 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26–31, 2026, Proceedings, Part II</i>, edited by Martin Schrepp, Springer Nature Switzerland, 2026, pp. 268–79, doi:<a href=\"https://doi.org/10.1007/978-3-032-30080-5_18\">10.1007/978-3-032-30080-5_18</a>.","ieee":"G. Hirschfeld and I. Jagemann, “Improving HCI-Research Using Behavioral Measures - A Tutorial in Choice Based Conjoint Analysis,” in <i>Design, User Experience, and Usability. 15th International Conference, DUXU 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26–31, 2026, Proceedings, Part II</i>, Montreal, QC, Canada, 2026, pp. 268–279.","alphadin":"<span style=\"font-variant:small-caps;\">Hirschfeld, Gerrit</span> ; <span style=\"font-variant:small-caps;\">Jagemann, Inga</span>: Improving HCI-Research Using Behavioral Measures - A Tutorial in Choice Based Conjoint Analysis. In: <span style=\"font-variant:small-caps;\">Schrepp, M.</span> (Hrsg.): <i>Design, User Experience, and Usability. 15th International Conference, DUXU 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26–31, 2026, Proceedings, Part II</i>, <i>Lecture Notes in Computer Science</i>. Cham : Springer Nature Switzerland, 2026, S. 268–279","chicago":"Hirschfeld, Gerrit, and Inga Jagemann. “Improving HCI-Research Using Behavioral Measures - A Tutorial in Choice Based Conjoint Analysis.” In <i>Design, User Experience, and Usability. 15th International Conference, DUXU 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26–31, 2026, Proceedings, Part II</i>, edited by Martin Schrepp, 268–79. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2026. <a href=\"https://doi.org/10.1007/978-3-032-30080-5_18\">https://doi.org/10.1007/978-3-032-30080-5_18</a>.","apa":"Hirschfeld, G., &#38; Jagemann, I. (2026). Improving HCI-Research Using Behavioral Measures - A Tutorial in Choice Based Conjoint Analysis. In M. Schrepp (Ed.), <i>Design, User Experience, and Usability. 15th International Conference, DUXU 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26–31, 2026, Proceedings, Part II</i> (pp. 268–279). Cham: Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-032-30080-5_18\">https://doi.org/10.1007/978-3-032-30080-5_18</a>"},"_id":"7039"},{"date_created":"2026-06-11T21:15:29Z","page":"e93489-e93489","publication_status":"published","status":"public","publication":"JMIR Human Factors","date_updated":"2026-06-13T08:39:23Z","publication_identifier":{"eissn":["2292-9495"]},"language":[{"iso":"eng"}],"abstract":[{"text":"Background: Artificial intelligence–based skin cancer screening apps (AISCSAs) offer diagnostic potential but face limited adoption. App store cues, such as ratings, may influence acceptance; yet, little is known about how users cognitively process app store information in high-stakes health contexts. To address this gap, eye-tracking was used to measure visual attention while participants evaluated a mock AISCSA app store listing.\r\n\r\nObjective: This study aimed to test whether a single negative rating captures visual attention and whether an extended technology acceptance model (TAM) can predict behavioral intention to use (BI) AISCSAs.\r\n\r\nMethods: Participants (N=76) evaluated a mock app store listing for an AISCSA under positive (n=42) or negative (n=34) rating conditions while their eye movements were recorded. Analyses combined fixation durations in defined areas of interest (AOIs) with self-reported measures of perceived usefulness (PU), perceived ease of use (PEOU), trust, BI, willingness to pay, and the self-rated importance of app attributes.\r\n\r\nResults: Normalized fixation durations (seconds per square pixel) revealed the highest attention to the description (0.166 s/px2), followed by the reviews (0.11 s/px2) and the ratings (0.04 s/px2), while the price and the data protection received the least attention. Of the 5 self-rated app attributes, only reviews correlated positively with fixation durations on the reviews-AOI (r=0.28; P=.01). Rating valence had no significant effect on gaze patterns, PU, PEOU, trust, BI, or willingness to pay (all Ps>.05). However, PEOU (P=.001), PU (P<.001), and trust (P<.001) were significantly correlated with BI.\r\n\r\nConclusions: Although the expected attentional capture effect of the negative rating was not observed, the weak or nonexistent associations between fixation durations on the AOIs and the self-rated importance of app attributes suggest that eye-tracking captures aspects of information processing that are not directly reflected in self-reported evaluations. These findings indicate that eye-tracking provides a more direct approximation of actual user behavior by revealing implicit attentional processes beyond what is captured by questionnaires. While the technology acceptance model constructs and trust predicted BI, rating valence alone did not affect acceptance or gaze behavior. In high-stakes health contexts, textual information may outweigh rating valence in driving adoption. Future research should explore conditions under which rating valence matters, including more extreme rating contrasts, variations in accompanying review texts, and the influence of individual differences such as preexisting attitudes toward artificial intelligence and levels of artificial intelligence literacy.","lang":"eng"}],"user_id":"220548","intvolume":"        13","_id":"6986","citation":{"chicago":"Jagemann, Inga, Sabrina Hegner, and Gerrit Hirschfeld. “The Role of Rating Valence in AI Skin Cancer App Acceptance: Eye-Tracking and Questionnaire Study.” <i>JMIR Human Factors</i> 13 (2026): e93489–e93489. <a href=\"https://doi.org/10.2196/93489\">https://doi.org/10.2196/93489</a>.","apa":"Jagemann, I., Hegner, S., &#38; Hirschfeld, G. (2026). The Role of Rating Valence in AI Skin Cancer App Acceptance: Eye-Tracking and Questionnaire Study. <i>JMIR Human Factors</i>, <i>13</i>, e93489–e93489. <a href=\"https://doi.org/10.2196/93489\">https://doi.org/10.2196/93489</a>","bibtex":"@article{Jagemann_Hegner_Hirschfeld_2026, title={The Role of Rating Valence in AI Skin Cancer App Acceptance: Eye-Tracking and Questionnaire Study}, volume={13}, DOI={<a href=\"https://doi.org/10.2196/93489\">10.2196/93489</a>}, journal={JMIR Human Factors}, publisher={JMIR Publications Inc.}, author={Jagemann, Inga and Hegner, Sabrina and Hirschfeld, Gerrit}, year={2026}, pages={e93489–e93489} }","ama":"Jagemann I, Hegner S, Hirschfeld G. The Role of Rating Valence in AI Skin Cancer App Acceptance: Eye-Tracking and Questionnaire Study. <i>JMIR Human Factors</i>. 2026;13:e93489-e93489. doi:<a href=\"https://doi.org/10.2196/93489\">10.2196/93489</a>","short":"I. Jagemann, S. Hegner, G. Hirschfeld, JMIR Human Factors 13 (2026) e93489–e93489.","alphadin":"<span style=\"font-variant:small-caps;\">Jagemann, Inga</span> ; <span style=\"font-variant:small-caps;\">Hegner, Sabrina</span> ; <span style=\"font-variant:small-caps;\">Hirschfeld, Gerrit</span>: The Role of Rating Valence in AI Skin Cancer App Acceptance: Eye-Tracking and Questionnaire Study. In: <i>JMIR Human Factors</i> Bd. 13, JMIR Publications Inc. (2026), S. e93489–e93489","ieee":"I. Jagemann, S. Hegner, and G. Hirschfeld, “The Role of Rating Valence in AI Skin Cancer App Acceptance: Eye-Tracking and Questionnaire Study,” <i>JMIR Human Factors</i>, vol. 13, pp. e93489–e93489, 2026.","mla":"Jagemann, Inga, et al. “The Role of Rating Valence in AI Skin Cancer App Acceptance: Eye-Tracking and Questionnaire Study.” <i>JMIR Human Factors</i>, vol. 13, JMIR Publications Inc., 2026, pp. e93489–e93489, doi:<a href=\"https://doi.org/10.2196/93489\">10.2196/93489</a>."},"main_file_link":[{"open_access":"1"}],"author":[{"id":"252878","orcid":"0000-0002-3468-3423","last_name":"Jagemann","first_name":"Inga","full_name":"Jagemann, Inga","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-3468-3423/work/217580444"},{"full_name":"Hegner, Sabrina","first_name":"Sabrina","last_name":"Hegner"},{"id":"234690","first_name":"Gerrit","last_name":"Hirschfeld","orcid":"0000-0003-2143-4564","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-2143-4564/work/217580445","full_name":"Hirschfeld, Gerrit"}],"year":"2026","publisher":"JMIR Publications Inc.","doi":"10.2196/93489","type":"journal_article","volume":13,"title":"The Role of Rating Valence in AI Skin Cancer App Acceptance: Eye-Tracking and Questionnaire Study","oa":"1"},{"type":"research_data","doi":"10.23668/PSYCHARCHIVES.16855","user_id":"263827","publisher":"PsychArchives","status":"public","date_updated":"2026-03-17T15:29:28Z","date_created":"2025-11-14T09:48:43Z","year":"2025","department":[{"_id":"4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21"}],"author":[{"full_name":"Beermann, Jana","first_name":"Jana","last_name":"Beermann"},{"last_name":"Von Brachel","first_name":"Ruth","full_name":"Von Brachel, Ruth"},{"orcid":"0000-0003-2143-4564","last_name":"Hirschfeld","first_name":"Gerrit","full_name":"Hirschfeld, Gerrit","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-2143-4564/work/196919311","id":"234690"},{"last_name":"Bonnin","first_name":"Gabriel","full_name":"Bonnin, Gabriel"},{"last_name":"Jagemann","orcid":"0000-0002-3468-3423","first_name":"Inga","full_name":"Jagemann, Inga","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-3468-3423/work/196919327","id":"252878"},{"last_name":"Schneider","first_name":"Silvia","full_name":"Schneider, Silvia"}],"title":"Preregistration Protocoll: Pierced, tattooed, but manic?! - The influence of prototypicality on the diagnosis of borderline personality disorder and bipolar disorder","_id":"6295","citation":{"ama":"Beermann J, Von Brachel R, Hirschfeld G, Bonnin G, Jagemann I, Schneider S. <i>Preregistration Protocoll: Pierced, Tattooed, but Manic?! - The Influence of Prototypicality on the Diagnosis of Borderline Personality Disorder and Bipolar Disorder</i>. PsychArchives; 2025. doi:<a href=\"https://doi.org/10.23668/PSYCHARCHIVES.16855\">10.23668/PSYCHARCHIVES.16855</a>","bibtex":"@book{Beermann_Von Brachel_Hirschfeld_Bonnin_Jagemann_Schneider_2025, title={Preregistration Protocoll: Pierced, tattooed, but manic?! - The influence of prototypicality on the diagnosis of borderline personality disorder and bipolar disorder}, DOI={<a href=\"https://doi.org/10.23668/PSYCHARCHIVES.16855\">10.23668/PSYCHARCHIVES.16855</a>}, publisher={PsychArchives}, author={Beermann, Jana and Von Brachel, Ruth and Hirschfeld, Gerrit and Bonnin, Gabriel and Jagemann, Inga and Schneider, Silvia}, year={2025} }","ieee":"J. Beermann, R. Von Brachel, G. Hirschfeld, G. Bonnin, I. Jagemann, and S. Schneider, <i>Preregistration Protocoll: Pierced, tattooed, but manic?! - The influence of prototypicality on the diagnosis of borderline personality disorder and bipolar disorder</i>. PsychArchives, 2025.","mla":"Beermann, Jana, et al. <i>Preregistration Protocoll: Pierced, Tattooed, but Manic?! - The Influence of Prototypicality on the Diagnosis of Borderline Personality Disorder and Bipolar Disorder</i>. PsychArchives, 2025, doi:<a href=\"https://doi.org/10.23668/PSYCHARCHIVES.16855\">10.23668/PSYCHARCHIVES.16855</a>.","alphadin":"<span style=\"font-variant:small-caps;\">Beermann, Jana</span> ; <span style=\"font-variant:small-caps;\">Von Brachel, Ruth</span> ; <span style=\"font-variant:small-caps;\">Hirschfeld, Gerrit</span> ; <span style=\"font-variant:small-caps;\">Bonnin, Gabriel</span> ; <span style=\"font-variant:small-caps;\">Jagemann, Inga</span> ; <span style=\"font-variant:small-caps;\">Schneider, Silvia</span>: <i>Preregistration Protocoll: Pierced, tattooed, but manic?! - The influence of prototypicality on the diagnosis of borderline personality disorder and bipolar disorder</i> : PsychArchives, 2025","short":"J. Beermann, R. Von Brachel, G. Hirschfeld, G. Bonnin, I. Jagemann, S. Schneider, Preregistration Protocoll: Pierced, Tattooed, but Manic?! - The Influence of Prototypicality on the Diagnosis of Borderline Personality Disorder and Bipolar Disorder, PsychArchives, 2025.","apa":"Beermann, J., Von Brachel, R., Hirschfeld, G., Bonnin, G., Jagemann, I., &#38; Schneider, S. (2025). <i>Preregistration Protocoll: Pierced, tattooed, but manic?! - The influence of prototypicality on the diagnosis of borderline personality disorder and bipolar disorder</i>. PsychArchives. <a href=\"https://doi.org/10.23668/PSYCHARCHIVES.16855\">https://doi.org/10.23668/PSYCHARCHIVES.16855</a>","chicago":"Beermann, Jana, Ruth Von Brachel, Gerrit Hirschfeld, Gabriel Bonnin, Inga Jagemann, and Silvia Schneider. <i>Preregistration Protocoll: Pierced, Tattooed, but Manic?! - The Influence of Prototypicality on the Diagnosis of Borderline Personality Disorder and Bipolar Disorder</i>. PsychArchives, 2025. <a href=\"https://doi.org/10.23668/PSYCHARCHIVES.16855\">https://doi.org/10.23668/PSYCHARCHIVES.16855</a>."}},{"citation":{"chicago":"Hirschfeld, Gerrit, Günter W. Maier, Clarissa Sabrina Arlinghaus, and Inga Jagemann. <i>Social Exclusion in Skin Cancer Screenings</i>. OSF, 2025. <a href=\"https://doi.org/10.17605/OSF.IO/FQKS8\">https://doi.org/10.17605/OSF.IO/FQKS8</a>.","apa":"Hirschfeld, G., Maier, G. W., Arlinghaus, C. S., &#38; Jagemann, I. (2025). <i>Social Exclusion in Skin Cancer Screenings</i>. OSF. <a href=\"https://doi.org/10.17605/OSF.IO/FQKS8\">https://doi.org/10.17605/OSF.IO/FQKS8</a>","ama":"Hirschfeld G, Maier GW, Arlinghaus CS, Jagemann I. <i>Social Exclusion in Skin Cancer Screenings</i>. 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