Generative AI as a Scaffold in Travel Decision-Making: A Conceptual Framework

Tourism decision-making is cognitively demanding. Travelers navigate fragmented information, coordinate interdependent choices amid uncertainty, and sustain planning. Although generative artificial intelligence (AI) is increasingly used in travel decision-making, tourism research has not explained how it alters the cognitive organization of decision-making. This article presents a framework theorizing generative AI as a scaffold across travel decision-making. The framework encompasses three pathways: mitigating executive load by structuring information and managing task-related demands; supporting psychological processing balance across intuitive, deliberate, and reflective modes; and sustaining decision continuity across iterative planning cycles. Attention deficit/hyperactivity disorder (ADHD) tendencies serve as a theory-revealing case, where pronounced variation in executive function brings mechanisms into sharp relief. Grounded in task-based interviews with 30 UK adults, the framework extends tourism decision-making theory by explaining how generative AI redistributes cognitive work between travelers and digital systems and reorients AI design from efficiency optimization toward individualized cognitive and emotional support. Also available in Korean and Bahasa Indonesia.

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Publication Details

Journal
Journal of Travel Research
Published
2026-08-28
DOI
https://doi.org/10.1177/00472875261484157
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Generative AI as a Scaffold in Travel Decision-Making: A Conceptual Framework

Iis Tussyadiah, Yoonjung Kim, Bora Kim
Journal of Travel Research
AI in Service Interactions
article

Generative AI as a Scaffold in Travel Decision-Making: A Conceptual Framework

Iis Tussyadiah, Yoonjung Kim, Bora Kim
article en

Abstract

Tourism decision-making is cognitively demanding. Travelers navigate fragmented information, coordinate interdependent choices amid uncertainty, and sustain planning. Although generative artificial intelligence (AI) is increasingly used in travel decision-making, tourism research has not explained how it alters the cognitive organization of decision-making. This article presents a framework theorizing generative AI as a scaffold across travel decision-making. The framework encompasses three pathways: mitigating executive load by structuring information and managing task-related demands; supporting psychological processing balance across intuitive, deliberate, and reflective modes; and sustaining decision continuity across iterative planning cycles. Attention deficit/hyperactivity disorder (ADHD) tendencies serve as a theory-revealing case, where pronounced variation in executive function brings mechanisms into sharp relief. Grounded in task-based interviews with 30 UK adults, the framework extends tourism decision-making theory by explaining how generative AI redistributes cognitive work between travelers and digital systems and reorients AI design from efficiency optimization toward individualized cognitive and emotional support. Also available in Korean and Bahasa Indonesia.

Journal of Travel Research
University of Surrey (GB)
Decent work and economic growth
Openalex Percentile: Top 8%
AI in Service Interactions
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Generative AI as a Scaffold in Travel Decision-Making: A Conceptual Framework — Iis Tussyadiah, Yoonjung Kim, et al. · Journal of Travel Research (2026) | TGRS Research Map | TGRS