作者: Alexander Savelyev , Scott Pezanowski , Anthony C. Robinson , Alan M. MacEachren
DOI: 10.21236/ADA580813
关键词: Computer science 、 Qualitative feedback 、 World Wide Web 、 Coding (social sciences) 、 Qualitative property 、 Usability 、 Geospatial analysis 、 Social media 、 Human–computer interaction
摘要: Abstract : Our aim for this component of research was to evaluate the prototype SensePlace2 environment gauge its support key tasks related spatio-temporal analysis qualitative data derived from social media sources (with focus on Twitter). preliminary findings reveal that participants view as having capability integrate and analyze geospatial dimensions media, but execution interface has many limitations ease use efficient analysis. Participants proposed additional features they felt would improve utility a range adjustments usability. Qualitative feedback our shows users were able generate good answers task prompts in most instances. However, frequently mention their difficult uncertain about quality those answers. This further supports overall finding mechanisms may exist solid analysis, means interacting with these require significant refinement. Results evaluation will be applied specific improvements development refined analytical methods.