Lily Houtman , Anthony C. Robinson , Dave McLaughlin , Christina M. Grozinger
{"title":"评价传粉媒介生态空间决策支持系统的可用性和效用","authors":"Lily Houtman , Anthony C. Robinson , Dave McLaughlin , Christina M. Grozinger","doi":"10.1016/j.ecoinf.2025.103182","DOIUrl":null,"url":null,"abstract":"<div><div>Environmental spatial decision support systems (SDSS) can help users make ecological choices informed by geographic information system (GIS) data, often using interactive maps. However, these tools often serve diverse stakeholder groups, each with their own expectations and goals. Here, we present results from an iterative process of user-centered design and evaluation that shaped the full redesign and development of the map-based pollinator health decision support tool <em>Beescape NexGen</em>. This tool assists beekeepers, growers, researchers, and other groups assess the quality of their landscape to support pollinators such as bees. Building upon results from an earlier usability evaluation of a <em>Beescape</em> prototype and a follow-up needs assessment focus group with key stakeholders, we designed an all-new interface and implemented an improved version of the tool called <em>Beescape NexGen</em>. A usability study of <em>Beescape NexGen</em> conducted with hobbyist beekeepers found significant improvements in usability and utility compared to the previous version of this tool. This project serves as an example of an iterative, long-term user-centered design project in ecological informatics resulting in direct comparisons between two versions of a SDSS.</div></div>","PeriodicalId":51024,"journal":{"name":"Ecological Informatics","volume":"89 ","pages":"Article 103182"},"PeriodicalIF":7.3000,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating the usability and utility of a spatial decision support system for pollinator ecology\",\"authors\":\"Lily Houtman , Anthony C. Robinson , Dave McLaughlin , Christina M. Grozinger\",\"doi\":\"10.1016/j.ecoinf.2025.103182\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Environmental spatial decision support systems (SDSS) can help users make ecological choices informed by geographic information system (GIS) data, often using interactive maps. However, these tools often serve diverse stakeholder groups, each with their own expectations and goals. Here, we present results from an iterative process of user-centered design and evaluation that shaped the full redesign and development of the map-based pollinator health decision support tool <em>Beescape NexGen</em>. This tool assists beekeepers, growers, researchers, and other groups assess the quality of their landscape to support pollinators such as bees. Building upon results from an earlier usability evaluation of a <em>Beescape</em> prototype and a follow-up needs assessment focus group with key stakeholders, we designed an all-new interface and implemented an improved version of the tool called <em>Beescape NexGen</em>. A usability study of <em>Beescape NexGen</em> conducted with hobbyist beekeepers found significant improvements in usability and utility compared to the previous version of this tool. This project serves as an example of an iterative, long-term user-centered design project in ecological informatics resulting in direct comparisons between two versions of a SDSS.</div></div>\",\"PeriodicalId\":51024,\"journal\":{\"name\":\"Ecological Informatics\",\"volume\":\"89 \",\"pages\":\"Article 103182\"},\"PeriodicalIF\":7.3000,\"publicationDate\":\"2025-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Informatics\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1574954125001918\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Informatics","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1574954125001918","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
Evaluating the usability and utility of a spatial decision support system for pollinator ecology
Environmental spatial decision support systems (SDSS) can help users make ecological choices informed by geographic information system (GIS) data, often using interactive maps. However, these tools often serve diverse stakeholder groups, each with their own expectations and goals. Here, we present results from an iterative process of user-centered design and evaluation that shaped the full redesign and development of the map-based pollinator health decision support tool Beescape NexGen. This tool assists beekeepers, growers, researchers, and other groups assess the quality of their landscape to support pollinators such as bees. Building upon results from an earlier usability evaluation of a Beescape prototype and a follow-up needs assessment focus group with key stakeholders, we designed an all-new interface and implemented an improved version of the tool called Beescape NexGen. A usability study of Beescape NexGen conducted with hobbyist beekeepers found significant improvements in usability and utility compared to the previous version of this tool. This project serves as an example of an iterative, long-term user-centered design project in ecological informatics resulting in direct comparisons between two versions of a SDSS.
期刊介绍:
The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change.
The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.