User Engagement Testing with a Pilot Decision Support Tool Aimed to Support Species Managers

Author:

Cashwell Haven J.1,McNeal Karen S.1,Dello Kathie2,Boyles Ryan3,Davis Corey2

Affiliation:

1. a Auburn University, Auburn, Alabama

2. b State Climate Office of North Carolina, Raleigh, North Carolina

3. c Southeast Climate Adaptation Science Center, U.S. Geological Survey, Raleigh, North Carolina

Abstract

Abstract Species status assessments (SSAs) are required for endangered species by the U.S. Fish and Wildlife Service and focus on the resiliency, redundancy, and representation of endangered species. SSAs must include climate information, because climate is a factor that will impact species in the future. To aid in the inclusion of climate information, a decision support system (DSS) entitled Climate Analysis and Visualization for the Assessment of Species Status (CAnVAS) was developed by the State Climate Office of North Carolina using a coproduction approach. In this study, users viewed a mock-up version of the CAnVAS interface displaying a sample layout of future projections for three key climate variables (average precipitation, average maximum temperature, and occurrence of maximum temperature) at a location of interest. This assessment of the pilot version of the CAnVAS DSS was the first step in refining CAnVAS for species-manager use. This research analyzed the differences in usability between two pilot versions of the CAnVAS DSS through eye tracking and subsequent interviews with novice users. The two pilot versions of CAnVAS differed in the way data were displayed on graphs and the color ramps used on regional maps. We found that graphically displaying temporal climate information through box-and-whisker plots and spatially through a sequential color ramp from white to purple were more effective than alternative displays at communicating climate information on endangered species. The results of this research will be used to further develop the CAnVAS DSS tool for future implementation. Significance Statement A decision support system was developed for U.S. Fish and Wildlife Service biologists to incorporate more climate information in species status assessments for endangered species. This tool was tested through eye tracking and interviews with a novice undergraduate student sample to best refine the tool for stakeholder use. This work was able to discover that graphically displaying data in box-and-whisker format and spatially displaying data with a sequential color scheme of white to purple was best for usability purposes. The authors provide these recommendations for those who are producing usable products.

Funder

Southeast Climate Adaptation Science Center

National Science Foundation

Publisher

American Meteorological Society

Subject

Atmospheric Science,Social Sciences (miscellaneous),Global and Planetary Change

Reference38 articles.

1. Aldridge, H. D., C. Davis, and R. Boyles, 2016: PINEMAP decision support system. USDA, accessed 29 October 2019, https://climate.ncsu.edu/pinemap/index.php?tool=dev.

2. Effectiveness of collaborative map-based decision support tools: Results of an experiment;Arciniegas, G.,2013

3. Exploring differences among student populations during climate graph reading tasks: An eye tracking study;Atkins, R. M.,2018

4. A comparative assessment of decision-support tools for ecosystem services quantification and valuation;Bagstad, K. J.,2013

5. A model of the perceptual and conceptual processes in graph comprehension;Carpenter, P. A.,1998

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3