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Computer Science > Human-Computer Interaction

arXiv:2510.17355 (cs)
[Submitted on 20 Oct 2025 ]

Title: SmartSustain Recommender System: Navigating Sustainability Trade-offs in Personalized City Trip Planning

Title: 智能可持续推荐系统:在个性化城市旅行规划中应对可持续性权衡

Authors:Ashmi Banerjee, Melih Mert Aksoy, Wolfgang Wörndl
Abstract: 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.
Abstract: 旅游业是全球碳排放和过度旅游的主要贡献者,这迫切需要推荐系统不仅提供信息,还能温和地引导用户做出更可持续的旅行决策。 然而,这些选择通常需要在环境影响、成本、便利性和个人兴趣之间进行复杂的权衡。 为了解决这个问题,我们提出了SmartSustain推荐系统,这是一个网络应用程序,旨在通过交互式、以用户为中心的界面,引导用户选择更环保的选项。 该系统通过将CO2e排放量、目的地受欢迎程度和季节性与个性化兴趣匹配相结合,可视化旅行决策的更广泛后果。 它采用了多种机制,如用于快速比较的交互式城市卡片、在特定权衡情景中展示可持续替代方案的动态横幅,以及使用动画环境指标提供实时影响反馈。 一项针对21名参与者的初步用户研究显示了良好的可用性和感知效果。 该系统可通过https://smartsustainrecommender.web.app访问。
Comments: Accepted for presentation at Workshop on Recommender Systems for Sustainable Development (RS4SD), co-located with CIKM'2025
Subjects: Human-Computer Interaction (cs.HC)
Cite as: arXiv:2510.17355 [cs.HC]
  (or arXiv:2510.17355v1 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.2510.17355
arXiv-issued DOI via DataCite

Submission history

From: Ashmi Banerjee [view email]
[v1] Mon, 20 Oct 2025 09:56:47 UTC (2,359 KB)
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