Research
Research in the ECS group is guided by the question of how we can learn from empirical data. In consequence, much of our work is centered around Statistics & Research methods. The main content-area we work on is biological information processing in humans, but we also have worked on applying statistical and machine-learning methods to technical systems (e.g., to solar thermal systems). Below find a sketch of some typical questions we have been working on. For a more fine-grained and complete view, please visit our publication pages.
Biological information processing
Two visual systems or one?

A famous issue in the Neurosciences is the question of how we can
define functional sub-processes within the human cognitive
system. Current theories often assume that the neuronal areas and
processes that create visual awareness or that are relevant for
object recognition are different from those that guide visual
actions. We have shown that these processes are more similar than
is currently thought—which was very unexpected and surprising for
many scientists. This project is also part of the DFG research unit
'Modal and amodal cognition'. Sample publications:
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Bhatia, K., Osenberg, A., Janczyk, M., & Franz, V. H.
(2025).
Reviewing evidence for the perception-action model from
Garner interference.
Journal of Experimental Psychology: Human Perception and
Performance, 51(2), 217-242.
[ DOI |
Website |
PDF |
Pre-registrations: 1 |
2 |
3 |
Open materials & data |
Abstract ]
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Bhatia, K., Löwenkamp, C., & Franz, V. H.
(2022).
Grasping Follows Weber's Law: How to Use Response
Variability as a Proxy to JND.
Journal of Vision, 22(12), 1-27.
[ DOI |
Website |
PDF |
Open materials & data |
Abstract ]
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Kopiske, K. K., Bruno, N., Hesse, C., Schenk, T., & Franz, V. H.
(2016).
The functional subdivision of the visual brain: Is there a
real illusion effect on action? A multi-lab replication study.
Cortex, 79, 130-152.
[ DOI |
Website |
PDF |
Explanation of this preregistered report |
Open materials & data |
Abstract ]
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Franz, V. H., & Gegenfurtner, K. R.
(2008).
Grasping visual illusions: Consistent data and no
dissociation.
Cognitive Neuropsychology, 25(7), 920-950.
[ DOI |
PDF |
Abstract ]
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Franz, V. H., Gegenfurtner, K. R., Bülthoff, H. H., & Fahle, M.
(2000).
Grasping visual illusions: No evidence for a dissociation
between perception and action.
Psychological Science, 11(1), 20-25.
[ PDF |
Abstract ]
Can we expect the unexpected?

Humans constantly track their environment for statistical
regularities and use internal models to make predictions about
the world. It is possible to detect when such predictions are
violated by measuring the pupil in the eye -- which seems
suprising in itself. This project is also part of the DFG collaborative
research center 'Robust Vision'. Sample publications:
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Basgol, H., Dayan, P., & Franz, V. H.
(2025).
Violation of auditory regularities is reflected in pupil
dynamics.
Cortex, 183, 66-86.
[ DOI |
Website |
PDF |
Pre-registration |
Open materials & data |
Abstract ]
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Basgol, H., Dayan, P., & Franz, V. H.
(2022).
Is pupil-linked arousal a marker of model violation but not
model update?
(Poster at the 44th European Conference on Visual Perception (ECVP))
[ DOI ]
Can high-level cognitive functions be unconscious?

It is often assumed that even complex mental processes can be
performed outside consiousness. If true, this would have
far-reaching implications for the understanding of the functional
role of consiousness. However, we found a serious methodological
limitation that affects a large number of studies in this realm. In
consequence, it is necessary to reassess the empirical evidence for
many of the stronger claims about unconscious vs. consious
processing. Sample publications:
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Meyen, S., Zerweck, I. A., Amado, C., von Luxburg, U., & Franz,
V. H.
(2022).
Advancing research on unconscious priming: When can
scientists claim an indirect task advantage?
Journal of Experimental Psychology: General, 151(1),
65-81.
[ DOI |
Ask for copy |
Preprint |
Online ITA-calculator |
Open materials & data |
Abstract ]
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Meyen, S., Vadillo, M. A., von Luxburg, U., & Franz, V. H.
(2024).
No Evidence for Contextual Cueing Beyond Explicit
Recognition.
Psychonomic Bulletin & Review, 31, 907-930.
[ DOI |
Website |
PDF |
Pre-registration |
Open materials & data |
Abstract ]
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Schnepf (nee Zerweck), I. A., Friedrich, F., Hepting, C., Meyen, S.,
& Franz, V. H.
(2022).
Neural mechanisms of response priming do not support
veridical unconscious processing.
Consciousness & Cognition, 102, 103348.
[ DOI |
Website |
Ask for copy |
Abstract ]
Can humans feel when somebody is lying?

Researchers sometimes report that humans have an intuitive
feeling of when somebody is lying. If true this would have
far-reaching practical consequences (for example for our legal
system and for jurors at court). We described a similar
methodological problem as we found for unconsciousness research
above for studies on lie detection, which calls into question
whether humans really have intuitive lie-detection capabilities that
go beyond what they can report. Sample publications:
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Franz, V. H., Meyen, S., & von Luxburg, U.
(2024).
Technical comment on Gunderson, ten Brinke, and
Sokol-Hessner (2023). When the body knows: Interoceptive accuracy enhances
physiological but not explicit differentiation between liars and
truth-tellers. Personality & Individual Differences, 204, 112039.
Personality & Individual Differences, 217, 112439.
[ DOI |
Website |
Ask for copy |
Preprint |
Open materials & data |
Abstract ]
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Franz, V. H., & von Luxburg, U.
(2015).
No evidence for unconscious lie detection: A significant
difference does not imply accurate classification.
Psychological Science, 26(10), 1646-1648.
[ DOI |
Website |
PDF |
Preprint |
Open materials |
Abstract ]
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Franz, V. H., & von Luxburg, U.
(2014).
Unconscious lie detection as an example of a widespread
fallacy in the Neurosciences.
(preprint at arXiv:1407.4240; this preprint is more comprehensive
than the corresponding Psychological Science article)
[ DOI |
Website |
Abstract ]
What is the representational format of human cognition?

A longstanding question in the cognitive sciences is the question
of the representational format of human cognition. Is, for example, a
dog represented in the brain by abstract concepts? Or is it
represented by the sensory quality, when we experience and interact
with the dog? In the DFG research unit 'Modal
and amodal cognition' we work on these and related
questions. Sample publications:
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Kaup, B., Ulrich, R., Bausenhart, K. M., Bryce, D., Butz, M. V., Dignath, D.,
Dudschig, C., Franz, V. H., Friedrich, C., Gawrilow, C., Heller, J., Huff,
M., Hütter, M., Janczyk, M., Leuthold, H., Mallot, H., Nürk, H.-C., Ramscar,
M., Said, N., Svaldi, J., & Wong, H. Y.
(2023).
Modal and Amodal Cognition: An Overarching Principle in
Various Domains of Psychology.
Psychological Research, 1-31.
[ DOI |
Website |
PDF |
Abstract ]
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Janczyk, M., Eichfelder, L., Liesefeld, H. R., & Franz, V. H.
(2024).
Learning and transfer of response-effect relations.
Quarterly Journal of Experimental Psychology.
[ DOI |
Website |
PDF |
Pre-registration |
Open data |
Abstract ]
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Eichfelder, L. A., Franz, V. H., & Janczyk, M.
(2023).
Is there hierarchical generalization in response-effect
learning?
Experimental Brain Research, 241, 135-144.
[ DOI |
Website |
PDF |
Pre-registration |
Open materials & data |
Abstract ]
-
Bhatia, K., Osenberg, A., Janczyk, M., & Franz, V. H.
(2025).
Reviewing evidence for the perception-action model from
Garner interference.
Journal of Experimental Psychology: Human Perception and
Performance, 51(2), 217-242.
[ DOI |
Website |
PDF |
Pre-registrations: 1 |
2 |
3 |
Open materials & data |
Abstract ]
-
Bhatia, K., Löwenkamp, C., & Franz, V. H.
(2022).
Grasping Follows Weber's Law: How to Use Response
Variability as a Proxy to JND.
Journal of Vision, 22(12), 1-27.
[ DOI |
Website |
PDF |
Open materials & data |
Abstract ]
Statistics & Research methods
Information theory for cue combination

We investigated classic information theory for the combination of
different cues. This has surprisingly general applications for
biological as well as technical systems. In the DFG collaborative
research center 'Robust Vision', we work on these and related
questions. Sample publications:
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Meyen, S., Sigg, D. M. B., von Luxburg, U., & Franz, V. H.
(2021).
Group decisions based on confidence weighted majority
voting.
Cognitive Research: Principles and Implications,
6(18), 1-13.
[ DOI |
PDF |
Open materials & data |
Abstract ]
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Meyen, S., Göppert, F., Alber, H., Luxburg, U. von, & Franz, V. H.
(2021).
Specialists Outperform Generalists in Ensemble
Classification.
(preprint at arXiv:2107.04381)
[ Website ]
What can we expect from replications?

It can be frustratingly difficult to replicate certain scientific
claims ('replication crisis'). We contributed to the ensueing
discussion by showing that we should expect even better
replication rates than is sometimes assumed. Sample
publications:
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Göppert, F., Bhatia, K., Meyen, S., & Franz, V. H.
(in press).
Realistic expectations for replications: Expecting too
little is just as bad as expecting too much.
Advances in Methods and Practices in Psychological Science.
[ Ask for copy |
Abstract ]
Confidence intervals for within-subject designs, ratios, replications, etc.

In a number of projects, we worked on confidence intervals for
empirical data. Sample publications:
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Göppert, F., Bhatia, K., Meyen, S., & Franz, V. H.
(in press).
Realistic expectations for replications: Expecting too
little is just as bad as expecting too much.
Advances in Methods and Practices in Psychological Science.
[ Ask for copy |
Abstract ]
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Franz, V. H., & Loftus, G. R.
(2012).
Standard errors and confidence intervals in within-subjects
designs: Generalizing Loftus & Masson (1994) and avoiding biases of
alternative accounts.
Psychonomic Bulletin & Review, 19(3), 395-404.
[ DOI |
Website |
PDF |
Abstract ]
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von Luxburg, U., & Franz, V. H.
(2009).
A geometric approach to confidence sets for ratios:
Fieller's theorem, generalizations, and bootstrap.
Statistica Sinica, 19(3), 1095-1117.
[ Website |
PDF |
Abstract ]
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Franz, V. H.
(2007).
Ratios: A short guide to confidence limits and proper
use.
(preprint at arXiv:0710.2024)
[ Website |
Abstract ]
Applications to technical systems
Using statistics & machine learning to improve solar thermal systems (and heatpumps etc.)

We investigate how benefitial advanced statistical methods and
machine learning are to improve environmentally friendly heating
systems (like solar thermal systems, heat-pumps, etc). Although
those systems are becoming increasingly complex (and therefore lend
themselves to such an analysis), they are still much less complex
than the human brain. They therefore provide a good baseline and
comparison for the other work we are doing. Sample publications:
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Ebmeier, F., Ludwig, N., Martius, G., & Franz, V. H.
(2024).
PaSTS: An operational dataset for domestic solar thermal
systems.
In Proceedings of the 15th ACM International Conference on
Future and Sustainable Energy Systems (pp. 529-534).
New York, NY, USA: Association for Computing Machinery.
[ DOI |
Website |
PDF |
Open materials & data |
Abstract ]
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Ebmeier, F., Ludwig, N., Martius, G., & Franz, V. H.
(2022).
Fault Detection in Solar Thermal Systems Using Machine
Learning.
(Poster presented at the ISES & IEA SHC International Conference on
Solar Energy for Buildings and Industry; EuroSun2022; 25-29 September 2022;
Kassel, Germany).
[ Abstract ]