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TRUVACE RECORD VERSION
record: TRV-2026-2640
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-11-12T16:55:34.791822Z
status: published
lens: g_space
sector: lifestyle
headline: Promoting responsible tourism using generative AI nudges
dek: Purpose With rapid modernization and globalization, responsible tourism practices at cultural heritage sites are in decline, as many visitors disengage from activities like volunteering, donating or mindful visits. This shift presents a significant challenge for governments, organizations and societies working to promote meaningful interactions with cultural heritage. Encouraging responsible tourism – where visitors respect local cultures while minimizing negative impacts – is crucial. generative artificial inte…
gain_title: In a mixed-methods study with 300 experiment participants, researchers found AI-generated nudge images raised tourists' emotional response (β = 0.108) and engagement with cultural heritage (β = 0.224), and engagement strongly predicted responsible behaviour intentions (β = 0.792).
problem_title: (none)
trace_subject: (none)
gain_reading: In a mixed-methods study with 300 experiment participants, researchers found AI-generated nudge images raised tourists' emotional response (β = 0.108) and engagement with cultural heritage (β = 0.224), and engagement strongly predicted responsible behaviour intentions (β = 0.792).
gain_evidence: AI-driven nudges significantly enhance tourists’ emotional responses (β = 0.108, p < 0.05) | engagement towards cultural heritage tourism (β = 0.224, p < 0.001)
problem_reading: (none)
problem_evidence: (none)
quick_read: A mixed-methods study found that generative AI nudges, delivered as cultural images, raised tourists' emotional response (β = 0.108) and engagement with cultural heritage tourism (β = 0.224). Engagement in turn strongly predicted responsible tourism behaviour (β = 0.792).

The work had three stages: content analysis of 262 articles that identified five themes, 25 in-depth interviews, and 300 experiments and surveys using six nudge images representing Indian and UK cultures. Each image was framed as neutral, positive or negative.

Negative nudges, described as afraid and bitter, worked best at encouraging responsible behaviour. Effects varied with a person's cultural identity, perceived cultural accuracy and the potential for AI hallucination, so the authors point to tailored messaging for different audiences.
limitation: The study used a small sample from Indian and UK contexts and measured short-term behavioural intentions in a controlled experimental setting, so lasting behaviour change was not assessed.
tag: Evidence-backed gain
key_points: The study had three stages: web-scraped content analysis of 262 articles, 25 interviews and 300 experiments and surveys. | The content analysis identified five key themes around responsible tourism. | AI-driven nudges raised emotional response (β = 0.108, p < 0.05) and engagement (β = 0.224, p < 0.001). | Engagement was a strong predictor of responsible tourism behaviour (β = 0.792, p < 0.001). | Negative nudges (afraid, bitter) were most effective at encouraging responsible behaviour. | Effectiveness varied with cultural identity, perceived cultural accuracy and AI hallucination potential.
rundown: The researchers started from a stated decline in responsible tourism at cultural heritage sites, as many visitors disengage from volunteering, donating or mindful visits. They tested whether personalised, emotionally resonant AI nudges could change that.

In the third stage, 300 participants took part in experiments and surveys built around six nudge images representing Indian and UK cultures. Each image was categorised as neutral, positive or negative, and the team measured engagement.

The authors report that cultural identity, perceived cultural accuracy and the potential for AI hallucination shaped how well nudges worked. They suggest future work should cover broader cultural contexts, use longitudinal designs, add objective behavioural data and examine AI transparency and immersive technologies such as VR and AR.
sources:
- peer_reviewed | European Business Review | https://doi.org/10.1108/ebr-11-2025-0402 | 2026-11-04
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