[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2181":3},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":18,"tags":20,"view_count":15,"doi":24,"paper":25,"created_at":66},2181,"Using personas as means to bridge user needs and climate service design: insights from the Austrian climate scenario evaluation","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.cliser.2026.100722","As climate services transition from pure data provision to tailored decision support systems, they require a mechanism to translate heterogeneous user needs into functional design. Despite the consensus on user-centeredness, systematic frameworks focusing on usability and uptake remain scarce. This study addresses this gap by developing prototypical Personas through a multi-stage co-creation approach. Based on quantitative survey data [ n = 171], qualitative interviews [ n = 23] and four focus group discussions, we identify key traits and selection criteria that categorize users not just by profession, but by their specific decision-making contexts and technical capabilities. Our results identify six distinct Personas – Spatial Planner (m), Manager for Climate Change Adaptation Model Regions (f), Actuary (f), Environmental Lobbyist (m), Tropical Medicine Specialist (f), Journalist (m) – that highlight distinct user requirements relevant for climate service design. Rather than representing every potential user, these Personas synthesize the most critical target groups and their requirements. Our findings reveal that while professional groups differ in their service usage, the primary determinant for design is not a user's profession, but their specific application context and interpretation needs. We show that different sectors often require similar products. While some users need easily accessible pre-processed information like ready-to-use maps, factsheets and text descriptions, others require data for custom interpretation and performing specific assessments. This study proposes the use of Personas as a strategic transition layer between scientific complexity and user-centricity. We discuss the potential of this approach to support the design of climate information that is not only scientifically robust but actionable.","随着气候服务从单纯的数据提供转向定制化的决策支持系统，需要一种机制将异质的用户需求转化为功能设计。尽管以用户为中心已达成共识，但聚焦于可用性和采纳度的系统性框架仍然匮乏。本研究通过多阶段共同创造方法开发了原型人物角色（Personas），以填补这一空白。基于定量调查数据[n=171]、定性访谈[n=23]以及四次焦点小组讨论，我们识别出关键特征和选择标准，这些标准不仅按职业对用户进行分类，还依据其具体的决策情境和技术能力进行划分。研究结果确定了六个不同的人物角色——空间规划师（男）、气候变化适应示范区域管理者（女）、精算师（女）、环境游说者（男）、热带医学专家（女）、记者（男）——这些角色凸显了与气候服务设计相关的不同用户需求。这些人物角色并非代表每一个潜在用户，而是综合了最关键的目标群体及其需求。研究发现，尽管不同职业群体在服务使用上存在差异，但设计的主要决定因素并非用户的职业，而是其具体的应用情境和解读需求。我们表明，不同行业往往需要相似的产品。一些用户需要易于获取的预处理信息，如即用型地图、情况说明书和文字描述，而另一些用户则需要数据来进行自定义解读和执行特定评估。本研究提出将人物角色作为科学复杂性与以用户为中心之间的战略性过渡层。我们讨论了该方法在支持设计既科学可靠又可操作的气候信息方面的潜力。",null,"Climate Services","2026-09-09T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"研究气候服务设计中用户画像的应用，属气候信息服务领域，与三农、农业信息化、智慧农业无直接关联，不建议进入每日精选。",[19],{"name":10,"url":6},[21,22,23],"决策支持","气候服务","用户画像","10.1016\u002Fj.cliser.2026.100722",{"doi":24,"openalex_id":26,"authors":27,"venue":10,"cited_by_count":15,"oa_url":57,"card":58,"direction":64,"ingested_from":65},"W7211994520",[28,31,34,37,39,41,43,45,47,50,52,55],{"name":29,"orcid":30},"Romana Berg","https:\u002F\u002Forcid.org\u002F0009-0009-7232-8893",{"name":32,"orcid":33},"Benedikt Becsi","https:\u002F\u002Forcid.org\u002F0000-0002-5659-1183",{"name":35,"orcid":36},"Michael Brenner-Fliesser","https:\u002F\u002Forcid.org\u002F0000-0002-7674-1660",{"name":38,"orcid":9},"Marianne Bügelmayer-Blaschek",{"name":40,"orcid":9},"Laura Mainetti",{"name":42,"orcid":9},"Peter Müller",{"name":44,"orcid":9},"Theresa Schellander-Gorgas",{"name":46,"orcid":9},"Stephan Schwarzinger",{"name":48,"orcid":49},"Sebastian Seebauer","https:\u002F\u002Forcid.org\u002F0000-0003-4592-9529",{"name":51,"orcid":9},"Matthias Themessl",{"name":53,"orcid":54},"Tanja Tötzer","https:\u002F\u002Forcid.org\u002F0000-0001-6140-0655",{"name":56,"orcid":9},"Simon Tschannett","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS2405880726000907\u002Fpdf",{"tldr":59,"method":60,"finding":61,"direction":62,"opportunity":63},"通过多阶段共创方法构建六类用户画像，以桥接气候服务用户需求与设计。","混合方法：171份问卷、23次访谈、4组焦点小组，共创用户画像。","决定气候服务设计的关键不是职业，而是用户的具体应用场景与解读需求。","数字乡村与农业信息化","可将用户画像方法迁移至农业气候服务，探索场景驱动的个性化信息产品设计。","农业人工智能与决策模型","openalex","2026-09-11T23:30:58.940736Z"]