The Influence of Prior Discourse on Conversational Agent-Driven Decision-Making

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Autori principali: Pilli, Stephen, Nallur, Vivek
Natura: Preprint
Pubblicazione: 2025
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author Pilli, Stephen
Nallur, Vivek
author_facet Pilli, Stephen
Nallur, Vivek
contents Persuasion through conversation has been the focus of much research. Nudging is a popular strategy to influence decision-making in physical and digital settings. However, conversational agents employing "nudging" have not received significant attention. We explore the manifestation of cognitive biases-the underlying psychological mechanisms of nudging-and investigate how the complexity of prior dialogue tasks impacts decision-making facilitated by conversational agents. Our research used a between-group experimental design, involving 756 participants randomly assigned to either a simple or complex task before encountering a decision-making scenario. Three scenarios were adapted from Samuelson's classic experiments on status-quo bias, the underlying mechanism of default nudges. Our results aligned with previous studies in two out of three simple-task scenarios. Increasing task complexity consistently shifted effect-sizes toward our hypothesis, though bias was significant in only one case. These findings inform conversational nudging strategies and highlight inherent biases relevant to behavioural economics.
format Preprint
id arxiv_https___arxiv_org_abs_2503_04692
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The Influence of Prior Discourse on Conversational Agent-Driven Decision-Making
Pilli, Stephen
Nallur, Vivek
Human-Computer Interaction
Emerging Technologies
Persuasion through conversation has been the focus of much research. Nudging is a popular strategy to influence decision-making in physical and digital settings. However, conversational agents employing "nudging" have not received significant attention. We explore the manifestation of cognitive biases-the underlying psychological mechanisms of nudging-and investigate how the complexity of prior dialogue tasks impacts decision-making facilitated by conversational agents. Our research used a between-group experimental design, involving 756 participants randomly assigned to either a simple or complex task before encountering a decision-making scenario. Three scenarios were adapted from Samuelson's classic experiments on status-quo bias, the underlying mechanism of default nudges. Our results aligned with previous studies in two out of three simple-task scenarios. Increasing task complexity consistently shifted effect-sizes toward our hypothesis, though bias was significant in only one case. These findings inform conversational nudging strategies and highlight inherent biases relevant to behavioural economics.
title The Influence of Prior Discourse on Conversational Agent-Driven Decision-Making
topic Human-Computer Interaction
Emerging Technologies
url https://arxiv.org/abs/2503.04692