[{"page":"110-116","keyword":["Large Language Model Mediation","Explainable AI","Decision Co- Pilot Systems","Misinformation Detection"],"quality_controlled":"1","place":"New York, USA","language":[{"iso":"eng"}],"_id":"13730","corporate_editor":["ACM Press"],"editor":[{"last_name":"Balke","first_name":"Wolf-Tilo","full_name":"Balke, Wolf-Tilo"},{"last_name":"Plötzky","first_name":"Florian","full_name":"Plötzky, Florian"},{"last_name":"Spaniol","first_name":"Marc","full_name":"Spaniol, Marc"},{"last_name":"Herder","first_name":"Eelco","full_name":"Herder, Eelco"},{"last_name":"Manikonda","first_name":"Lydia","full_name":"Manikonda, Lydia"},{"last_name":"Liu","full_name":"Liu, Haiming","first_name":"Haiming"},{"first_name":"Luis-Daniel","full_name":"Ibáñez, Luis-Daniel","last_name":"Ibáñez"},{"last_name":"Rezapour","first_name":"Rezvaneh","full_name":"Rezapour, Rezvaneh"}],"year":"2026","citation":{"short":"V. Grimm, J. Rubart, E. Herder, C. Röcker, LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation, ACM, New York, USA, 2026.","ama":"Grimm V, Rubart J, Herder E, Röcker C. <i>LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation</i>. (Balke WT, Plötzky F, Spaniol M, et al., eds.). ACM; 2026:110-116. doi:<a href=\"https://doi.org/10.1145/3795513.3810452\">https://doi.org/10.1145/3795513.3810452</a>","chicago":"Grimm, Valentin, Jessica Rubart, Eelco Herder, and Carsten Röcker. <i>LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation</i>. Edited by Wolf-Tilo Balke, Florian Plötzky, Marc Spaniol, Eelco Herder, Lydia Manikonda, Haiming Liu, Luis-Daniel Ibáñez, Rezvaneh Rezapour, and ACM Press. <i>WebSci Companion ’26: Companion Publication of the 2026 18th ACM Web Science Conference</i>. New York, USA: ACM, 2026. <a href=\"https://doi.org/10.1145/3795513.3810452\">https://doi.org/10.1145/3795513.3810452</a>.","mla":"Grimm, Valentin, et al. “LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation.” <i>WebSci Companion ’26: Companion Publication of the 2026 18th ACM Web Science Conference</i>, edited by Wolf-Tilo Balke et al., ACM, 2026, pp. 110–16, <a href=\"https://doi.org/10.1145/3795513.3810452\">https://doi.org/10.1145/3795513.3810452</a>.","ieee":"V. Grimm, J. Rubart, E. Herder, and C. Röcker, <i>LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation</i>. New York, USA: ACM, 2026, pp. 110–116. doi: <a href=\"https://doi.org/10.1145/3795513.3810452\">https://doi.org/10.1145/3795513.3810452</a>.","van":"Grimm V, Rubart J, Herder E, Röcker C. LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation. Balke WT, Plötzky F, Spaniol M, Herder E, Manikonda L, Liu H, et al., editors. WebSci Companion ’26: Companion Publication of the 2026 18th ACM Web Science Conference. New York, USA: ACM; 2026.","bjps":"<b>Grimm V <i>et al.</i></b> (2026) <i>LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation</i>, Balke W-T et al. (eds). New York, USA: ACM.","ufg":"<b>Grimm, Valentin u. a.</b>: LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation, hg. von Balke, Wolf-Tilo u. a., New York, USA 2026.","chicago-de":"Grimm, Valentin, Jessica Rubart, Eelco Herder und Carsten Röcker. 2026. <i>LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation</i>. Hg. von Wolf-Tilo Balke, Florian Plötzky, Marc Spaniol, Eelco Herder, Lydia Manikonda, Haiming Liu, Luis-Daniel Ibáñez, Rezvaneh Rezapour, und ACM Press. <i>WebSci Companion ’26: Companion Publication of the 2026 18th ACM Web Science Conference</i>. New York, USA: ACM. doi:<a href=\"https://doi.org/10.1145/3795513.3810452\">https://doi.org/10.1145/3795513.3810452</a>, .","apa":"Grimm, V., Rubart, J., Herder, E., &#38; Röcker, C. (2026). LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation. In W.-T. Balke, F. Plötzky, M. Spaniol, E. Herder, L. Manikonda, H. Liu, L.-D. Ibáñez, R. Rezapour, &#38; ACM Press (Eds.), <i>WebSci Companion ’26: Companion Publication of the 2026 18th ACM Web Science Conference</i> (pp. 110–116). ACM. <a href=\"https://doi.org/10.1145/3795513.3810452\">https://doi.org/10.1145/3795513.3810452</a>","havard":"V. Grimm, J. Rubart, E. Herder, C. Röcker, LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation, ACM, New York, USA, 2026.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Grimm, Valentin</span> ; <span style=\"font-variant:small-caps;\">Rubart, Jessica</span> ; <span style=\"font-variant:small-caps;\">Herder, Eelco</span> ; <span style=\"font-variant:small-caps;\">Röcker, Carsten</span> ; <span style=\"font-variant:small-caps;\"><span style=\"font-variant:small-caps;\">Balke, W.-T.</span> ; <span style=\"font-variant:small-caps;\">Plötzky, F.</span> ; <span style=\"font-variant:small-caps;\">Spaniol, M.</span> ; <span style=\"font-variant:small-caps;\">Herder, E.</span> ; <span style=\"font-variant:small-caps;\">Manikonda, L.</span> ; <span style=\"font-variant:small-caps;\">Liu, H.</span> ; <span style=\"font-variant:small-caps;\">Ibáñez, L.-D.</span> ; <span style=\"font-variant:small-caps;\">Rezapour, R.</span> ; u. a.</span> (Hrsg.): <i>LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation</i>. New York, USA : ACM, 2026"},"type":"conference_editor_article","conference":{"start_date":"2026-05-26","location":"Braunschweig","name":"18th ACM Web Science Conference ; WebSci Companion '26","end_date":"2026-05-26"},"department":[{"_id":"DEP5023"}],"date_created":"2026-05-05T16:16:34Z","date_updated":"2026-05-27T11:08:52Z","user_id":"83781","doi":"https://doi.org/10.1145/3795513.3810452","status":"public","publication":"WebSci Companion '26: Companion Publication of the 2026 18th ACM Web Science Conference","publisher":"ACM","author":[{"id":"74000","first_name":"Valentin","full_name":"Grimm, Valentin","last_name":"Grimm"},{"last_name":"Rubart","orcid":"0000-0003-0937-3551","full_name":"Rubart, Jessica","first_name":"Jessica","id":"45672"},{"last_name":"Herder","first_name":"Eelco","full_name":"Herder, Eelco"},{"first_name":"Carsten","full_name":"Röcker, Carsten","last_name":"Röcker","id":"61525"}],"abstract":[{"text":"This paper introduces an LLM-mediated AI Advisor that contextualizes and synthesizes heterogeneous explainable AI (XAI) outputs to support fast and calibrated misinformation judgments in time-sensitive social media settings. We define LLM-mediated XAI as a process in which a large language model aggregates, prioritizes, and translates heterogeneous XAI outputs into a context-sensitive explanation tailored to the user’s decision situation. Semantic features, XAI modules and LLM-based summarization and synthesis enable the generation of explanations that are adapted in three ways: compressed for time-efficient decisions, translated into non-technical language, and progressively expandable for deeper inspection. Through a mixed-methods user study, including a quantitative study and a qualitative study, we analyze how users interpret, challenge and strategically rely on LLM-mediated explanations during real-world misinformation assessment tasks. The findings indicate that the approach reduces time-to-decision and supports critical inspection without inducing over-reliance. Progressive disclosure and different techniques to present information favored different user needs while conversational functionality was rarely used due to unclear benefits and fear of confusion.","lang":"eng"}],"publication_status":"published","publication_identifier":{"isbn":["979-8-4007-2492-3"]},"title":"LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation"},{"isi":"1","year":"2024","type":"scientific_journal_article","citation":{"ieee":"M. Cardinali <i>et al.</i>, “Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities,” <i>  Urban forestry &#38; urban greening</i>, vol. 93, Art. no. 128230, 2024, doi: <a href=\"https://doi.org/10.1016/j.ufug.2024.128230\">10.1016/j.ufug.2024.128230</a>.","van":"Cardinali M, Beenackers MA, Fleury-Bahi G, Bodénan P, Petrova MT, van Timmeren A, et al. Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities.   Urban forestry &#38; urban greening. 2024;93.","ama":"Cardinali M, Beenackers MA, Fleury-Bahi G, et al. Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities. <i>  Urban forestry &#38; urban greening</i>. 2024;93. doi:<a href=\"https://doi.org/10.1016/j.ufug.2024.128230\">10.1016/j.ufug.2024.128230</a>","chicago":"Cardinali, Marcel, Mariëlle A. Beenackers, Ghozlane Fleury-Bahi, Philippe Bodénan, Milena Tasheva Petrova, Arjan van Timmeren, and Uta Pottgiesser. “Examining Green Space Characteristics for Social Cohesion and Mental Health Outcomes: A Sensitivity Analysis in Four European Cities.” <i>  Urban Forestry &#38; Urban Greening</i> 93 (2024). <a href=\"https://doi.org/10.1016/j.ufug.2024.128230\">https://doi.org/10.1016/j.ufug.2024.128230</a>.","mla":"Cardinali, Marcel, et al. “Examining Green Space Characteristics for Social Cohesion and Mental Health Outcomes: A Sensitivity Analysis in Four European Cities.” <i>  Urban Forestry &#38; Urban Greening</i>, vol. 93, 128230, 2024, <a href=\"https://doi.org/10.1016/j.ufug.2024.128230\">https://doi.org/10.1016/j.ufug.2024.128230</a>.","short":"M. Cardinali, M.A. Beenackers, G. Fleury-Bahi, P. Bodénan, M.T. Petrova, A. van Timmeren, U. Pottgiesser,   Urban Forestry &#38; Urban Greening 93 (2024).","din1505-2-1":"<span style=\"font-variant:small-caps;\">Cardinali, Marcel</span> ; <span style=\"font-variant:small-caps;\">Beenackers, Mariëlle A.</span> ; <span style=\"font-variant:small-caps;\">Fleury-Bahi, Ghozlane</span> ; <span style=\"font-variant:small-caps;\">Bodénan, Philippe</span> ; <span style=\"font-variant:small-caps;\">Petrova, Milena Tasheva</span> ; <span style=\"font-variant:small-caps;\">van Timmeren, Arjan</span> ; <span style=\"font-variant:small-caps;\">Pottgiesser, Uta</span>: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities. In: <i>  Urban forestry &#38; urban greening</i> Bd. 93. [Amsterdam] , Elsevier BV (2024)","havard":"M. Cardinali, M.A. Beenackers, G. Fleury-Bahi, P. Bodénan, M.T. Petrova, A. van Timmeren, U. Pottgiesser, Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities,   Urban Forestry &#38; Urban Greening. 93 (2024).","apa":"Cardinali, M., Beenackers, M. A., Fleury-Bahi, G., Bodénan, P., Petrova, M. T., van Timmeren, A., &#38; Pottgiesser, U. (2024). Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities. <i>  Urban Forestry &#38; Urban Greening</i>, <i>93</i>, Article 128230. <a href=\"https://doi.org/10.1016/j.ufug.2024.128230\">https://doi.org/10.1016/j.ufug.2024.128230</a>","bjps":"<b>Cardinali M <i>et al.</i></b> (2024) Examining Green Space Characteristics for Social Cohesion and Mental Health Outcomes: A Sensitivity Analysis in Four European Cities. <i>  Urban forestry &#38; urban greening</i> <b>93</b>.","ufg":"<b>Cardinali, Marcel u. a.</b>: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities, in: <i>  Urban forestry &#38; urban greening</i> 93 (2024).","chicago-de":"Cardinali, Marcel, Mariëlle A. Beenackers, Ghozlane Fleury-Bahi, Philippe Bodénan, Milena Tasheva Petrova, Arjan van Timmeren und Uta Pottgiesser. 2024. Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities. <i>  Urban forestry &#38; urban greening</i> 93. doi:<a href=\"https://doi.org/10.1016/j.ufug.2024.128230\">10.1016/j.ufug.2024.128230</a>, ."},"date_created":"2024-03-24T11:20:11Z","department":[{"_id":"DEP1000"},{"_id":"DEP1055"}],"date_updated":"2025-06-25T12:43:06Z","user_id":"83781","doi":"10.1016/j.ufug.2024.128230","keyword":["Soil Science","Ecology","Forestry","Green space","Mediation","Social cohesion","Well-being","Structural equation modelling"],"article_number":"128230","place":"[Amsterdam] ","_id":"11283","language":[{"iso":"eng"}],"publication_identifier":{"issn":["1618-8667"],"eissn":["1610-8167"]},"external_id":{"isi":["001181173100001"]},"intvolume":"        93","volume":93,"title":"Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities","status":"public","publication":"  Urban forestry & urban greening","publisher":"Elsevier BV","author":[{"id":"58462","last_name":"Cardinali","orcid":"0000-0002-8841-9345","full_name":"Cardinali, Marcel","first_name":"Marcel"},{"full_name":"Beenackers, Mariëlle A.","first_name":"Mariëlle A.","last_name":"Beenackers"},{"last_name":"Fleury-Bahi","full_name":"Fleury-Bahi, Ghozlane","first_name":"Ghozlane"},{"last_name":"Bodénan","full_name":"Bodénan, Philippe","first_name":"Philippe"},{"last_name":"Petrova","first_name":"Milena Tasheva","full_name":"Petrova, Milena Tasheva"},{"last_name":"van Timmeren","first_name":"Arjan","full_name":"van Timmeren, Arjan"},{"id":"27166","first_name":"Uta","full_name":"Pottgiesser, Uta","last_name":"Pottgiesser","orcid":"0000-0002-8594-3168"}],"abstract":[{"lang":"eng","text":"Introduction: In recent decades, there has been a rise in mental illnesses. Community infrastructures are increasingly acknowledged as important for sustaining good mental health. Moreover, green spaces are anticipated to offer advantages for both mental health and social cohesion. However, the mediating pathway between green space, social cohesion and mental health and especially the proximity and characteristics of green spaces that trigger these potential effects remain of interest. Methods: We gathered data from 1365 individuals on self-reported social cohesion and mental health across four satellite districts in European cities: Nantes (France), Porto (Portugal), Sofia (Bulgaria), and Hoje-Taastrup (Denmark). Green space data from OpenStreetMap was manually adjusted using the PRIGSHARE guidelines. We used the AID-PRIGSHARE tool to generate 7 indicators about green space characteristics measured in distances from 100-1500 m, every 100 m. This resulted in 105 different green space variables that we tested in a single mediation model with structural equation modelling. Results: Accessible greenness (900-1400 m), accessible green spaces (900-1500 m), accessible green space corridors (300-800 m), accessible total green space (300-800), and mix of green space uses (700-1100 m) were significantly associated with social cohesion and indirectly with mental health. Green corridors also showed negative indirect and direct associations with mental health in larger distances. Surrounding greenness and the quantity of green space uses were not associated with social cohesion nor indirectly with mental health. We also observed no positive direct associations between any green space variable in any distance to mental health. Conclusions: Our results suggest that accessibility, connectivity, mix of use and proximity are key characteristics that drive the relationship between green spaces, social cohesion and mental health. This gives further guidance to urban planners and decision-makers on how to design urban green spaces to foster social cohesion and improve mental health."}],"publication_status":"published"},{"date_updated":"2026-06-03T08:45:19Z","department":[{"_id":"DEP1055"}],"date_created":"2026-06-03T08:08:55Z","user_id":"83781","doi":"10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1","title":"Data underlying the publication: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities","year":"2024","citation":{"ieee":"M. Cardinali, <i>Data underlying the publication: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities</i>. TU Delft, 2024. doi: <a href=\"https://doi.org/10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1\">10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1</a>.","van":"Cardinali M. Data underlying the publication: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities. TU Delft; 2024.","ama":"Cardinali M. <i>Data Underlying the Publication: Examining Green Space Characteristics for Social Cohesion and Mental Health Outcomes: A Sensitivity Analysis in Four European Cities</i>. TU Delft; 2024. doi:<a href=\"https://doi.org/10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1\">10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1</a>","mla":"Cardinali, Marcel. <i>Data Underlying the Publication: Examining Green Space Characteristics for Social Cohesion and Mental Health Outcomes: A Sensitivity Analysis in Four European Cities</i>. TU Delft, 2024, <a href=\"https://doi.org/10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1\">https://doi.org/10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1</a>.","chicago":"Cardinali, Marcel. <i>Data Underlying the Publication: Examining Green Space Characteristics for Social Cohesion and Mental Health Outcomes: A Sensitivity Analysis in Four European Cities</i>. TU Delft, 2024. <a href=\"https://doi.org/10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1\">https://doi.org/10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1</a>.","short":"M. Cardinali, Data Underlying the Publication: Examining Green Space Characteristics for Social Cohesion and Mental Health Outcomes: A Sensitivity Analysis in Four European Cities, TU Delft, 2024.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Cardinali, Marcel</span>: <i>Data underlying the publication: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities</i> : TU Delft, 2024","havard":"M. Cardinali, Data underlying the publication: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities, TU Delft, 2024.","apa":"Cardinali, M. (2024). <i>Data underlying the publication: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities</i>. TU Delft. <a href=\"https://doi.org/10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1\">https://doi.org/10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1</a>","bjps":"<b>Cardinali M</b> (2024) <i>Data Underlying the Publication: Examining Green Space Characteristics for Social Cohesion and Mental Health Outcomes: A Sensitivity Analysis in Four European Cities</i>. TU Delft.","chicago-de":"Cardinali, Marcel. 2024. <i>Data underlying the publication: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities</i>. TU Delft. doi:<a href=\"https://doi.org/10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1\">10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1</a>, .","ufg":"<b>Cardinali, Marcel</b>: Data underlying the publication: Examining green space characteristics for social cohesion and mental health outcomes: A sensitivity analysis in four European cities, o. O. 2024."},"type":"research_data","publisher":"TU Delft","author":[{"orcid":"0000-0002-8841-9345","last_name":"Cardinali","full_name":"Cardinali, Marcel","first_name":"Marcel","id":"58462"}],"abstract":[{"lang":"eng","text":"The research objective was to examine if the significant findings between green space, social cohesion and mental health stem from unique green space characteristics or similar mechanisms. This dataset is a correlation matrix of 105 green space indicators gathered in GIS, covering 7 different green space characteristics (surrounding greenness (NDVI 0-1), accessible greenness (NDVI 0-1), accessible green space (m2), accessible green corridors (m2), accessible total green space (m2), sum of green space uses (n), mix of green space uses(n)) in 15 distances from 100 to 1,500 m every 100 m."}],"_id":"13797","status":"public","keyword":["Green Space","Mediation","social cohesion","structural equation modelling","well-being"]},{"_id":"13609","language":[{"iso":"eng"}],"place":"Orlando, Fla. ","keyword":["Evaluative conditioning","Contingency awareness","Attentional resources","Goal-directed attention","Mediation"],"page":"99-106","doi":"10.1016/j.lmot.2012.03.004","user_id":"83781","date_updated":"2026-03-27T13:50:13Z","department":[{"_id":"DEP1500"}],"date_created":"2026-03-25T13:36:32Z","citation":{"ama":"Blask K, Walther E, Halbeisen G, Weil R. At the crossroads: Attention, contingency awareness, and evaluative conditioning. <i>Learning and Motivation</i>. 2012;43(3):99-106. doi:<a href=\"https://doi.org/10.1016/j.lmot.2012.03.004\">10.1016/j.lmot.2012.03.004</a>","short":"K. Blask, E. Walther, G. Halbeisen, R. Weil, Learning and Motivation 43 (2012) 99–106.","havard":"K. Blask, E. Walther, G. Halbeisen, R. Weil, At the crossroads: Attention, contingency awareness, and evaluative conditioning, Learning and Motivation. 43 (2012) 99–106.","bjps":"<b>Blask K <i>et al.</i></b> (2012) At the Crossroads: Attention, Contingency Awareness, and Evaluative Conditioning. <i>Learning and Motivation</i> <b>43</b>, 99–106.","chicago-de":"Blask, Katharina, Eva Walther, Georg Halbeisen und Rebecca Weil. 2012. At the crossroads: Attention, contingency awareness, and evaluative conditioning. <i>Learning and Motivation</i> 43, Nr. 3: 99–106. doi:<a href=\"https://doi.org/10.1016/j.lmot.2012.03.004\">10.1016/j.lmot.2012.03.004</a>, .","ufg":"<b>Blask, Katharina u. a.</b>: At the crossroads: Attention, contingency awareness, and evaluative conditioning, in: <i>Learning and Motivation</i> 43 (2012), H. 3,  S. 99–106.","chicago":"Blask, Katharina, Eva Walther, Georg Halbeisen, and Rebecca Weil. “At the Crossroads: Attention, Contingency Awareness, and Evaluative Conditioning.” <i>Learning and Motivation</i> 43, no. 3 (2012): 99–106. <a href=\"https://doi.org/10.1016/j.lmot.2012.03.004\">https://doi.org/10.1016/j.lmot.2012.03.004</a>.","mla":"Blask, Katharina, et al. “At the Crossroads: Attention, Contingency Awareness, and Evaluative Conditioning.” <i>Learning and Motivation</i>, vol. 43, no. 3, 2012, pp. 99–106, <a href=\"https://doi.org/10.1016/j.lmot.2012.03.004\">https://doi.org/10.1016/j.lmot.2012.03.004</a>.","ieee":"K. Blask, E. Walther, G. Halbeisen, and R. Weil, “At the crossroads: Attention, contingency awareness, and evaluative conditioning,” <i>Learning and Motivation</i>, vol. 43, no. 3, pp. 99–106, 2012, doi: <a href=\"https://doi.org/10.1016/j.lmot.2012.03.004\">10.1016/j.lmot.2012.03.004</a>.","van":"Blask K, Walther E, Halbeisen G, Weil R. At the crossroads: Attention, contingency awareness, and evaluative conditioning. Learning and Motivation. 2012;43(3):99–106.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Blask, Katharina</span> ; <span style=\"font-variant:small-caps;\">Walther, Eva</span> ; <span style=\"font-variant:small-caps;\">Halbeisen, Georg</span> ; <span style=\"font-variant:small-caps;\">Weil, Rebecca</span>: At the crossroads: Attention, contingency awareness, and evaluative conditioning. In: <i>Learning and Motivation</i> Bd. 43. Orlando, Fla. , Academic Press (2012), Nr. 3, S. 99–106","apa":"Blask, K., Walther, E., Halbeisen, G., &#38; Weil, R. (2012). At the crossroads: Attention, contingency awareness, and evaluative conditioning. <i>Learning and Motivation</i>, <i>43</i>(3), 99–106. <a href=\"https://doi.org/10.1016/j.lmot.2012.03.004\">https://doi.org/10.1016/j.lmot.2012.03.004</a>"},"type":"scientific_journal_article","year":"2012","isi":"1","publication_status":"published","abstract":[{"text":"Evaluative conditioning (EC) refers to changes in the evaluation of a conditioned stimulus (CS) due to its repeated pairing with an unconditioned stimulus (US). One of the most debated topics in EC research is whether or not EC is dependent on contingency awareness. In this study, we go beyond this debate by examining whether contingency awareness mediates the impact of attentional resources and goal-directed attention on EC. Attentional resources were manipulated by presenting CSs and USs either within the same modality or in different modalities. Goal-directed attention was manipulated by asking participants to respond to the CSs or to the USs. Results indicate that the effect of goal-directed attention on EC is mediated by contingency awareness, whereas the effect of attentional resources on EC is not.","lang":"eng"}],"author":[{"last_name":"Blask","full_name":"Blask, Katharina","first_name":"Katharina"},{"last_name":"Walther","first_name":"Eva","full_name":"Walther, Eva"},{"id":"85780","last_name":"Halbeisen","orcid":"0000-0002-9529-2215","first_name":"Georg","full_name":"Halbeisen, Georg"},{"first_name":"Rebecca","full_name":"Weil, Rebecca","last_name":"Weil"}],"publisher":"Academic Press","publication":"Learning and Motivation","issue":"3","status":"public","title":"At the crossroads: Attention, contingency awareness, and evaluative conditioning","volume":43,"intvolume":"        43","external_id":{"isi":["000307607600003"]},"publication_identifier":{"eissn":["1095-9122"],"issn":["0023-9690"]}}]