Figure 2.
The diagram shows multiple labelled variables connected by curved arrows. Central elements include emotionally adaptive personalisation, perceived empathy, and Gen A I empowered learning in personalisation system. Guest satisfaction appears on the left with arrows linking to perceived empathy, algorithmic bias perception, high-quality feedback, brand trust and emotional loyalty, and engagement. Expectation sensitivity connects algorithmic bias perception, high-quality feedback, and the Gen A I learning system. Sentiment detection accuracy connects to depth of personalisation of sentiments through Gen A I, which connects to personalisation fatigue through repeated prompts. Higher data privacy concern is linked to the Gen A I learning system. Cognitive load sensitivity connects to feeling burdened and mentally strained and to dynamic interface changes. Dynamic interface changes link to personalisation fatigue. Brand trust and emotional loyalty links back to guest satisfaction. Small circular markers label loops as B one, B two, B three, and R one with text guest emotional state.Causal feedback dynamics of AI-driven personalization in hospitality
Source: Developed by authors using Vensim tool