The raw data and analysis scripts are available for many papers, at least for those papers where I was first author. Just click on “Links”.
Citation information can be found at my Google Scholar profile.
Submitted manuscripts (i.e., under review or in revision)
Meyer-Grant, C. G., Kellen, D., Harding, S. M., & Singmann, H. (submitted).
Extreme-Value Signal Detection Theory for Recognition Memory: The Parametric Road Not Taken.
https://doi.org/10.31234/osf.io/qhrfj_v1
He, Y., Kellen, D., & Singmann, H. (submitted). A Critical Test of Signal Detection Theory in Visual Working Memory.
Deans-Browne, C. & Singman, H. (submitted). For Everyday Arguments Prior Beliefs Play a Larger Role on Perceived Quality Than Argument Quality Itself.
Publications
Note: Publications “in press” are displayed as published in the upcoming year.
2024
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| 2. | Maier, Maximilian; Harris, Adam; Kellen, David; Singmann, Henrik: Introducing the Extinction Gambling Task. In: Samuelson, Larissa K; Frank, Stefan; Toneva, Mariya; Mackey, Allyson P.; Hazeltine, Eliot (Ed.): Proceedings of the 46th Annual Conference of the Cognitive Science Society, OSF, 2024. @inproceedings{maierIntroducingExtinctionGambling2024,
title = {Introducing the Extinction Gambling Task},
author = {Maximilian Maier and Adam Harris and David Kellen and Henrik Singmann},
editor = {Larissa K Samuelson and Stefan Frank and Mariya Toneva and Allyson P. Mackey and Eliot Hazeltine},
url = {http://singmann.org/download/publications/Maier%20et%20al.%20-%202024%20-%20Introducing%20the%20Extinction%20Gambling%20Task.pdf, final PDF
https://osf.io/g3s7u, OSF link
},
doi = {10.31234/osf.io/g3s7u},
year = {2024},
date = {2024-07-24},
urldate = {2025-01-30},
booktitle = {Proceedings of the 46th Annual Conference of the Cognitive Science Society},
publisher = {OSF},
abstract = {Decisions about extinction risks are ubiquitous in everyday life and for our continued existence as a species. We introduce a new risky-choice task that can be used to study this topic: The Extinction Gambling Task. Here, we investigate two versions of this task: a Keep variant, where participants cannot accumulate any more earnings after the extinction event, and a Lose variant, where extinction also wipes out all previous earnings. We derive optimal solutions for both variants and compare them to behavioural data. Our findings suggest that people understand the difference between the two variants and their behaviour is qualitatively in line with the optimal solution. Further, we find evidence for risk-aversion in the Keep condition but not in the Lose condition. We hope that this task can facilitate further research on this vital topic.},
keywords = {Decision Making, optimality, risky-choice},
pubstate = {published},
tppubtype = {inproceedings}
}
Decisions about extinction risks are ubiquitous in everyday life and for our continued existence as a species. We introduce a new risky-choice task that can be used to study this topic: The Extinction Gambling Task. Here, we investigate two versions of this task: a Keep variant, where participants cannot accumulate any more earnings after the extinction event, and a Lose variant, where extinction also wipes out all previous earnings. We derive optimal solutions for both variants and compare them to behavioural data. Our findings suggest that people understand the difference between the two variants and their behaviour is qualitatively in line with the optimal solution. Further, we find evidence for risk-aversion in the Keep condition but not in the Lose condition. We hope that this task can facilitate further research on this vital topic. |
| 1. | Singmann, Henrik; Xiong, Yunxi; Song, Yue; Breen, Mia; Baumann, Christiane: Full-Information Optimal-Stopping Problems: Providing People with the Optimal Policy Does Not Improve Performance. In: Samuelson, Larissa K; Frank, Stefan; Toneva, Mariya; Mackey, Allyson P.; Hazeltine, Eliot (Ed.): Proceedings of the 46th Annual Conference of the Cognitive Science Society, 2024. @inproceedings{singmannFullinformationOptimalstoppingProblems2024,
title = {Full-Information Optimal-Stopping Problems: Providing People with the Optimal Policy Does Not Improve Performance},
author = {Henrik Singmann and Yunxi Xiong and Yue Song and Mia Breen and Christiane Baumann},
editor = {Larissa K Samuelson and Stefan Frank and Mariya Toneva and Allyson P. Mackey and Eliot Hazeltine},
url = {http://singmann.org/download/publications/Singmann%20et%20al.%20-%202024%20-%20Full-information%20optimal-stopping%20problems%20Provid.pdf, final PDF},
year = {2024},
date = {2024-07-24},
urldate = {2025-01-31},
booktitle = {Proceedings of the 46th Annual Conference of the Cognitive Science Society},
keywords = {Decision Making, optimal stopping, optimality},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Dormant manuscripts (manuscripts which might be picked up again at a later point in time)
Foster, K. & Singmann, H. (in revision). Another Approximation of the First-Passage Time Densities for the Ratcliff Diffusion Decision Model.
Winiger, S., Singmann, H., & Kellen, D. (in revision). Violations of Conditional Independence in Mixed-State Models of Visual Working Memory.
Misc
Other up-to-date lists of my publications can be found at my Google Scholar profile (which contains citation information), my ReseachGate profile, or my ORCID profile (can be a little outdated).