---
_id: '13730'
abstract:
- lang: eng
  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.'
author:
- first_name: Valentin
  full_name: Grimm, Valentin
  id: '74000'
  last_name: Grimm
- first_name: Jessica
  full_name: Rubart, Jessica
  id: '45672'
  last_name: Rubart
  orcid: 0000-0003-0937-3551
- first_name: Eelco
  full_name: Herder, Eelco
  last_name: Herder
- first_name: Carsten
  full_name: Röcker, Carsten
  id: '61525'
  last_name: Röcker
citation:
  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>'
  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>'
  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.'
  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>.'
  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>,
    .'
  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'
  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.'
  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>.'
  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>.'
  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.'
  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.'
  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.'
conference:
  end_date: 2026-05-26
  location: Braunschweig
  name: 18th ACM Web Science Conference ; WebSci Companion '26
  start_date: 2026-05-26
corporate_editor:
- ACM Press
date_created: 2026-05-05T16:16:34Z
date_updated: 2026-05-27T11:08:52Z
department:
- _id: DEP5023
doi: https://doi.org/10.1145/3795513.3810452
editor:
- first_name: Wolf-Tilo
  full_name: Balke, Wolf-Tilo
  last_name: Balke
- first_name: Florian
  full_name: Plötzky, Florian
  last_name: Plötzky
- first_name: Marc
  full_name: Spaniol, Marc
  last_name: Spaniol
- first_name: Eelco
  full_name: Herder, Eelco
  last_name: Herder
- first_name: Lydia
  full_name: Manikonda, Lydia
  last_name: Manikonda
- first_name: Haiming
  full_name: Liu, Haiming
  last_name: Liu
- first_name: Luis-Daniel
  full_name: Ibáñez, Luis-Daniel
  last_name: Ibáñez
- first_name: Rezvaneh
  full_name: Rezapour, Rezvaneh
  last_name: Rezapour
keyword:
- Large Language Model Mediation
- Explainable AI
- Decision Co- Pilot Systems
- Misinformation Detection
language:
- iso: eng
page: 110-116
place: New York, USA
publication: 'WebSci Companion ''26: Companion Publication of the 2026 18th ACM Web
  Science Conference'
publication_identifier:
  isbn:
  - 979-8-4007-2492-3
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: 'LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments
  on Potential Misinformation'
type: conference_editor_article
user_id: '83781'
year: '2026'
...
---
_id: '11283'
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.'
article_number: '128230'
author:
- first_name: Marcel
  full_name: Cardinali, Marcel
  id: '58462'
  last_name: Cardinali
  orcid: 0000-0002-8841-9345
- first_name: Mariëlle A.
  full_name: Beenackers, Mariëlle A.
  last_name: Beenackers
- first_name: Ghozlane
  full_name: Fleury-Bahi, Ghozlane
  last_name: Fleury-Bahi
- first_name: Philippe
  full_name: Bodénan, Philippe
  last_name: Bodénan
- first_name: Milena Tasheva
  full_name: Petrova, Milena Tasheva
  last_name: Petrova
- first_name: Arjan
  full_name: van Timmeren, Arjan
  last_name: van Timmeren
- first_name: Uta
  full_name: Pottgiesser, Uta
  id: '27166'
  last_name: Pottgiesser
  orcid: 0000-0002-8594-3168
citation:
  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>'
  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>.'
  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>.'
  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>,
    .'
  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).'
  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>.'
  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).
  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).'
  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.'
date_created: 2024-03-24T11:20:11Z
date_updated: 2025-06-25T12:43:06Z
department:
- _id: DEP1000
- _id: DEP1055
doi: 10.1016/j.ufug.2024.128230
external_id:
  isi:
  - '001181173100001'
intvolume: '        93'
isi: '1'
keyword:
- Soil Science
- Ecology
- Forestry
- Green space
- Mediation
- Social cohesion
- Well-being
- Structural equation modelling
language:
- iso: eng
place: '[Amsterdam] '
publication: '  Urban forestry & urban greening'
publication_identifier:
  eissn:
  - 1610-8167
  issn:
  - 1618-8667
publication_status: published
publisher: Elsevier BV
status: public
title: 'Examining green space characteristics for social cohesion and mental health
  outcomes: A sensitivity analysis in four European cities'
type: scientific_journal_article
user_id: '83781'
volume: 93
year: '2024'
...
---
_id: '13797'
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.
author:
- first_name: Marcel
  full_name: Cardinali, Marcel
  id: '58462'
  last_name: Cardinali
  orcid: 0000-0002-8841-9345
citation:
  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>'
  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: '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-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>,
    .'
  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.'
  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>.'
  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>.'
  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.'
  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.'
  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.'
date_created: 2026-06-03T08:08:55Z
date_updated: 2026-06-03T08:45:19Z
department:
- _id: DEP1055
doi: 10.4121/9E6581A4-D5CE-4B94-8642-4774051A2FD8.V1
keyword:
- Green Space
- Mediation
- social cohesion
- structural equation modelling
- well-being
publisher: TU Delft
status: public
title: 'Data underlying the publication: Examining green space characteristics for
  social cohesion and mental health outcomes: A sensitivity analysis in four European
  cities'
type: research_data
user_id: '83781'
year: '2024'
...
---
_id: '13609'
abstract:
- lang: eng
  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.
author:
- first_name: Katharina
  full_name: Blask, Katharina
  last_name: Blask
- first_name: Eva
  full_name: Walther, Eva
  last_name: Walther
- first_name: Georg
  full_name: Halbeisen, Georg
  id: '85780'
  last_name: Halbeisen
  orcid: 0000-0002-9529-2215
- first_name: Rebecca
  full_name: Weil, Rebecca
  last_name: Weil
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>'
  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>'
  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: '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>.'
  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>,
    .'
  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'
  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.'
  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>.'
  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>.'
  short: K. Blask, E. Walther, G. Halbeisen, R. Weil, Learning and Motivation 43 (2012)
    99–106.
  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.'
  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.'
date_created: 2026-03-25T13:36:32Z
date_updated: 2026-03-27T13:50:13Z
department:
- _id: DEP1500
doi: 10.1016/j.lmot.2012.03.004
external_id:
  isi:
  - '000307607600003'
intvolume: '        43'
isi: '1'
issue: '3'
keyword:
- Evaluative conditioning
- Contingency awareness
- Attentional resources
- Goal-directed attention
- Mediation
language:
- iso: eng
page: 99-106
place: 'Orlando, Fla. '
publication: Learning and Motivation
publication_identifier:
  eissn:
  - 1095-9122
  issn:
  - 0023-9690
publication_status: published
publisher: Academic Press
status: public
title: 'At the crossroads: Attention, contingency awareness, and evaluative conditioning'
type: scientific_journal_article
user_id: '83781'
volume: 43
year: '2012'
...