RAO2qJHJt4

Full identifier: https://w3id.org/np/RAO2qJHJt46I4k2JDbxkzLHkrcSAxDoyFSc6oapFksgDU

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 Final advertisements from designers who prototyped designs in parallel performed better on advertising analytics compared to ads from designers who prototype designs serially DiscourseGraph Evidence comment approve/disapprove edit as derived nanopublication

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  • Summary

    • Final advertisements from designers who prototyped designs in parallel performed better on advertising analytics compared to ads from designers who prototype designs serially. Specifically, ads from parallel prototypes got a higher click-through rate than serial (~445 clicks per million vs. 397)
      • (Table 1)
      • (Figure 7)
      • (p. 11)
      • (p. 12)
  • Grounding Context

    • Measure: Performance, in terms of click-through rates and Google Analytics for target website (N visitors, time spent, N pages visited daily from each ad) over 15-day campaign, and independent judgments in terms of creativity/originality, visual appeal, tastefulness, and adherence to design principles
      • (p. 7)
    • StudyDesign:: between-subjects design: serial vs. parallel prototyping structure
    • Procedure:: ~150 mins total, ~10 mins to create each prototype. Main difference is whether get critique from ad expert (experimenter) after each prototype (serial), or after three prototypes (parallel). Experimenter critiques drew from a pre-created list of critique statements for consistency across participants
      • (p. 7)
      • (p. 9)
    • Participants:: N=33 students, none professional designers, ~half with some prior experience in ad/graphic design

      • (pp. 5-6)
    • Materials:: use Flash-based AdBuilder tool to design a banner ad to be hosted on a social networking site, for a fictional student-led design publication
      • (p. 6)
      • (p. 6)
  • [[ACL Recontextualizing Claims and Evidence Shared Task]]
    • Status:: #resultGrounded
    • Annotator:: [[Joel Chan]]
    • ResultGrounding:: [[table]]
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