Surrey interviews cast generative AI as a scaffold that gets travel plans finished

Scaffolding, in this paper's sense, is a division of labour. The tool organizes information and keeps track of details; the person compares the options and makes the call ^[5]. Yoonjung Kim, a doctoral researcher at Surrey and the study's lead author, said, "Planning a vacation involves a series of connected decisions about transport, accommodation, budgets and activities. This can quickly become overwhelming, particularly when travelers are faced with endless information and choices." ^[6]

The instrument chosen here catches something a booking log cannot: the trip that was never planned at all. The phys.org account describes the participants only as a group of U.K. adults and does not disclose how many were interviewed ^[12]. There is no reported comparison group of travelers planning without the tool, so the completion claim rests on what people said about a trip they think they would otherwise have dropped ^[13].

Direction is still useful, and the direction is unusual. The reported gains sat with the people who found planning harder to manage, and for some of them the change was between giving up and getting to the end ^[3]. If that pattern survives a quantitative test, the figure to instrument is completion among users who were on their way out of the session; accuracy on a recommended itinerary tracks something else ^[14].

Iis Tussyadiah, dean of Surrey Business School and a coauthor, said, "For some travelers, generative AI is more than a convenient shortcut. It can make a demanding decision-making process feel manageable and, in some cases, make planning feel possible." ^[8] The authors extend that to design, arguing for travel technology that accommodates different ways of thinking and planning, including support for neurodivergent travelers, while noting that heavy information loads and interlocking constraints can put any traveler under the same pressure ^[10].

Bora Kim, an associate professor at Surrey and a coauthor, said, "The real promise of AI in travel planning is not simply speed or convenience. The same tool can support different travelers at different points of difficulty while allowing them to retain control over their decisions." ^[9] Her prescription is narrower than a feature list: "Travel technologies should be designed to provide personalized cognitive and emotional support while protecting travelers' autonomy." ^[15] The paper is indexed under DOI 10.1177/00472875261484157 ^[11].