Batisse Manhardt, Ja-Nae Duane · 2026 · arXiv (Cornell University)
DOI: 10.48550/arxiv.2610.28154 · cited by 0 works (OpenAlex) · open-access PDF
Os nudges digitais tornaram-se uma área proeminente de pesquisa na interação centrada no ser humano, mas pouco se sabe sobre como eles interagem quando implantados juntos. Este estudo examina os efeitos individuais e combinados dos nudges digitais de ancoragem, saliência e prova social sobre o comportamento de parada e a qualidade do resultado em uma tarefa de decisão sequencial. Usando um design factorial de 2^3 entre os sujeitos baseado no problema secretário (N = 181), descobrimos que (1) um nudge de ancoragem aumentou significativamente a exploração em vez de restringí-lo (b = 1.207, p = .017); (2) o nudge de saliência produziu o menor efeito de qualquer condição; e (3) combinando o nudge de ancoragem e prova social produziu a pior qualidade de resultado de qualquer condição
Machine translation (Meta M2M100); the English original follows.
Digital nudges have become a prominent area of research in human-centered interaction, yet little is known about how they interact when deployed together. This study examines the individual and combined effects of anchoring, salience, and social proof digital nudges on stopping behavior and outcome quality in a sequential decision task. Using a 2^3 between-subjects factorial design grounded in the secretary problem (N = 181), we find that (1) an anchor nudge significantly increased exploration rather than constraining it (b = 1.207, p = .017); (2) the salience nudge produced the smallest effect of any condition; and (3) combining the anchor and social proof nudges produced the worst outcome quality of any condition ($181.83 vs. $192.21 for anchor-only), with outcome quality declining monotonically as nudge count increased. These findings provide the first controlled evidence for a digital nudge crowding-out effect with direct implications for the ethical design of digital interfaces.
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Topics: Nudge theory, Outcome (game theory), Salience (neuroscience), Quality (philosophy), Computer science, Behavioral economics
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