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Conference Papers Year : 2017

NexP: A Beginner Friendly Toolkit for Designing and Conducting Controlled Experiments

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Xiaojun Meng
  • Function : Author
  • PersonId : 1028797
Pin Sym Foong
  • Function : Author
  • PersonId : 1028798
Simon Perrault
  • Function : Author
  • PersonId : 1028799
Shengdong Zhao
  • Function : Author
  • PersonId : 951165

Abstract

In this paper, we introduce NexP (Next Experiment Toolkit), an open-source toolkit for designing and running controlled experiments. Unlike previous toolkits, it is targeted for the unmet needs of the beginners in experimental design, who may not have had prior statistical training, or experience in creating, implementing and executing controlled experiments. To accommodate such users, NexP features a hypothesis development process that scaffolds beginners into bridging the gap between daily language and formal statistical language. In our evaluation, we compared NexP against a state-of-the-art experimental design toolkit. Results showed that novices considered NexP more intuitive and easier to use. Users also reported that NexP helped them to better understand the experimental design process, making it a useful tool for both productivity and education.
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Dates and versions

hal-01717214 , version 1 (26-02-2018)

Licence

Attribution - CC BY 4.0

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Xiaojun Meng, Pin Sym Foong, Simon Perrault, Shengdong Zhao. NexP: A Beginner Friendly Toolkit for Designing and Conducting Controlled Experiments. 16th IFIP Conference on Human-Computer Interaction (INTERACT), Sep 2017, Bombay, India. pp.132-141, ⟨10.1007/978-3-319-67687-6_10⟩. ⟨hal-01717214⟩
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