SmartSustain Recommender System: Navigating Sustainability Trade-offs in Personalized City Trip Planning
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866909877745483776 |
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| author | Banerjee, Ashmi Aksoy, Melih Mert Wörndl, Wolfgang |
| author_facet | Banerjee, Ashmi Aksoy, Melih Mert Wörndl, Wolfgang |
| contents | Tourism is a major contributor to global carbon emissions and over-tourism, creating an urgent need for recommender systems that not only inform but also gently steer users toward more sustainable travel decisions. Such choices, however, often require balancing complex trade-offs between environmental impact, cost, convenience, and personal interests. To address this, we present the SmartSustain Recommender, a web application designed to nudge users toward eco-friendlier options through an interactive, user-centric interface. The system visualizes the broader consequences of travel decisions by combining CO2e emissions, destination popularity, and seasonality with personalized interest matching. It employs mechanisms such as interactive city cards for quick comparisons, dynamic banners that surface sustainable alternatives in specific trade-off scenarios, and real-time impact feedback using animated environmental indicators. A preliminary user study with 21 participants indicated strong usability and perceived effectiveness. The system is accessible at https://smartsustainrecommender.web.app. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_17355 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | SmartSustain Recommender System: Navigating Sustainability Trade-offs in Personalized City Trip Planning Banerjee, Ashmi Aksoy, Melih Mert Wörndl, Wolfgang Human-Computer Interaction Tourism is a major contributor to global carbon emissions and over-tourism, creating an urgent need for recommender systems that not only inform but also gently steer users toward more sustainable travel decisions. Such choices, however, often require balancing complex trade-offs between environmental impact, cost, convenience, and personal interests. To address this, we present the SmartSustain Recommender, a web application designed to nudge users toward eco-friendlier options through an interactive, user-centric interface. The system visualizes the broader consequences of travel decisions by combining CO2e emissions, destination popularity, and seasonality with personalized interest matching. It employs mechanisms such as interactive city cards for quick comparisons, dynamic banners that surface sustainable alternatives in specific trade-off scenarios, and real-time impact feedback using animated environmental indicators. A preliminary user study with 21 participants indicated strong usability and perceived effectiveness. The system is accessible at https://smartsustainrecommender.web.app. |
| title | SmartSustain Recommender System: Navigating Sustainability Trade-offs in Personalized City Trip Planning |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2510.17355 |