Evidence map›Paper›PMID 39710767›Full record

ArticleCognitive processing2025

The baby duck syndrome as cognitive bias in user-interface interaction.

Nadezhda Glebko, Alyona Kharitonova, Ekaterina Kosova, Elena Gorbunova

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Article in Cognitive processing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Nadezhda GlebkoDepartment of Psychology, National Research University Higher School of Economics, Moscow, Russia. nglebko@hse.ru.ORCID http://orcid.org/0000-0003-0592-677X
Alyona KharitonovaDepartment of Psychology, National Research University Higher School of Economics, Moscow, Russia.ORCID http://orcid.org/0009-0009-0877-7766
Ekaterina KosovaDepartment of Psychology, National Research University Higher School of Economics, Moscow, Russia.ORCID http://orcid.org/0009-0002-5642-7380
Elena GorbunovaDepartment of Psychology, National Research University Higher School of Economics, Moscow, Russia.ORCID http://orcid.org/0000-0003-3646-2605

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As technological interfaces are relatively new cultural tools, regular interaction can lead to new psychological phenomena, like the baby duck syndrome, where users favor old interfaces over updates. This syndrome is seen as a cognitive bias in human-computer interaction. Two studies were conducted: Study 1 on an Airbnb app (old vs. new versions), and Study 2 on a self-developed website (blue vs. purple design). Subjects completed sequential five usability tasks in two blocks with the resting between. Experimental groups engaged with different interface versions, while control groups used the same one. After completing tasks, subjects filled questionnaires about interface interaction. Study 1 showed significantly higher preference for the old Airbnb version, though scores varied by group. Study 2 revealed a trend of reduced scores in experimental groups on second assessment, not seen in controls. Version-based rating differences were insignificant. Overall, Studies 1 and 2 indicated baby duck syndrome is challenging to study in labs, suggesting it emerges when users are genuinely engaged with the interface. This article has both theoretical and experimental significance for studying the emergence of psychological phenomena in human-digital interaction. As a practical application, the obtained results can be useful for correct development updates for interfaces.

Indexed as

CognitionUser-Computer InterfaceAdultBiasFemaleHumansMaleSurveys and QuestionnairesYoung AdultCognitive biasHuman-digital interactionSoftware imprintingThe baby duck syndrome

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.