TY - GEN
T1 - NexP
T2 - 16th IFIP TC13 International Conference on Human–Computer Interaction, INTERACT 2017
AU - Meng, Xiaojun
AU - Foong, Pin Sym
AU - Perrault, Simon
AU - Zhao, Shengdong
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2017
Y1 - 2017
N2 - 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. © IFIP International Federation for Information Processing 2017 Published by Springer International Publishing AG 2017. All Rights Reserved.
AB - 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. © IFIP International Federation for Information Processing 2017 Published by Springer International Publishing AG 2017. All Rights Reserved.
KW - Controlled experiment
KW - Design platform
KW - NexP
KW - Toolkit
UR - http://www.scopus.com/inward/record.url?scp=85030852549&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85030852549&origin=recordpage
U2 - 10.1007/978-3-319-67687-6_10
DO - 10.1007/978-3-319-67687-6_10
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9783319676869
VL - 10515 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 132
EP - 141
BT - Human-Computer Interaction - INTERACT 2017 - 16th IFIP TC 13 International Conference, Proceedings
PB - Springer Verlag
Y2 - 25 September 2017 through 29 September 2017
ER -