🥐 When we’re hungry, we pay more attention to taste than health, literally.

Eye-tracking and modelling show hunger shifts our focus toward calorie-rich foods and away from nutrition info.
buff.ly/s0eXQdv

Excited to present our research at this epic location #EGPRO2025 with @sgluth.bsky.social, @maryamtohidi.bsky.social and @jennamarch.bsky.social 🚀

An example of biased media these days, dehumanizing one side--Iran killing civilians (which is of course tragic), vs Israel hitting military sites.

No, Iranian civilians have been killed in every single attack by Israel since Friday (in hundreds so far). Don't rebrand it.

#StopTheWar
#NoToWar

Amazing sunny team event with our lab today! ☀️ We tackled an escape room aboard the historic ship Rickmer Rickmers - nothing like solving puzzles surrounded by maritime history ⚓🧩 So lovely bonding outside the lab and putting our problem-solving skills to work in completely new settings! 🤓

🧠 Job Alert: Postdoc Position Available!
We're hiring a postdoc as part of the exciting DFG Research Unit on Belief Updating 🔬
🔍 What we're looking for:
Strong quantitative skills & passion for belief updating research
📍 Location: University of Hamburg
⏰ Duration: 2 years, full-time
🔗 Link below

Exciting opportunity in our research unit: come join us in Hamburg! 🧠📍

Work with a great team on dynamic belief updating, combining modeling, behavior, and neuroscience.

No teaching, full-time, fully funded, and starting Jan 2026.

Job altert: Postdoc position (100%, 2 yrs) in our lab (@cmdn-lab.bsky.social) in context with the DFG Research Unit on Belief Updating (www.uni-hamburg.de/ru5389/resea...).

We are looking for people with strong quantitative skills.

Info and application via: www.uni-hamburg.de/stellenangeb...

We then show that the direction and across-participant variability of this "distractor effect" cannot be explained by existing normalization theories, but rather by a mechanism that constructs values through sequential binary comparisons.
10/10

We also confirmed that there is a common value representation between the pre-choice value estimate and the final choice.
9/10

But we did report sizable across-participant variability in the "distractor effect" .The direction of the effect was the same in binary and ternary choices. This helped us conclude that value representations are modulated by the temporal (and not the immediate) context.
8/10

The subjectively learned values for the similar options are significantly lower when they were learned in a context with a higher distractor value (A&D). Overall, we did not see the distractor effect at the final choice (C&F).
7/10

The “estimation” phase after learning was essential to help us pinpoint when the distractor starts distorting the values of the 2 higher alternatives. In two similar experiments, onsite and online, we show that context-dependent valuation is evident in post-learning/pre-choice value estimates.
6/10

Here, we designed a value-learning task and asked participants to first learn the values associated with three alternatives and then explicitly report these values before making binary and ternary choices among the alternatives.
5/10

However, it is not clear whether this distortion is due to the impact of the immediate context (when all options are available for choice) or the temporal context (while encountering and learning the value of the options).
4/10

Human value-based choices are context dependent. The well-known "distractor effect" states that the choice between 2 high-value options can be distorted by the value of a third inferior option. Normalization theories, divisive and range, have explained this by focusing on the final choice.
3/10

The following is a summary of the paper:
2/10

Thrilled to share my first post here with something I’m truly proud of; My PhD paper is finally out in @commspsychol.bsky.social. Thanks to amazing @ktsetsos.bsky.social for his wise insights and our reviewers for their constructive comments.
You can read the full paper here: rdcu.be/eguDX
1/10

The “estimation” phase after learning was essential to help us pinpoint when the distractor starts distorting the values of the 2 higher alternatives.
In two similar experiments, onsite and online, we show that context-dependent valuation is evident in post-learning/pre-choice value estimates.
6/10

Here, we designed a value-learning task and asked participants to first learn the values associated with three alternatives and then explicitly report these values before making binary and ternary choices among the alternatives.
5/10

However, it is not clear whether this distortion is due to the impact of the immediate context (when all options are available for choice) or the temporal context (while encountering and learning the value of the options).
4/10

Human value-based choices are context dependent. The well-known "distractor effect" states that the choice between 2 high-value options can be distorted by the value of a third inferior option. Normalization theories, divisive and range, have explained this by focusing on the final choice.
3/10

The following is a summary of the paper:
2/10