RepliCHI: Graduate Student Perspectives

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RepliCan’t duate Student Perspectives MIT HUMAN-COMPUTER INTERACTIO ael Bernstein puter Science and Artificial Intelligence Laboratory [email protected] | @msbernst

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Transcript of RepliCHI: Graduate Student Perspectives

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RepliCan’tGraduate Student Perspectives

MIT HUMAN-COMPUTER INTERACTION

Michael BernsteinMIT Computer Science and Artificial Intelligence [email protected] | @msbernst

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Speaking for every graduate student in SIGCHI, I can say one thing:

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I can’t speak for everygraduate studentin SIGCHI.

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My Unassailable, Extremely ScientificData Collection Protocol:Survey of CHI student volunteers, CHI-students ACM listserv, and snowballed recruitment through Facebook and Twitter.

N=93 responses

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Have you ever replicateda study or system?

No

Yes

0 10 20 30 40 50 60 70 80 90

Respondents

17% yes, 83% no

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Do you ever plan to replicatea study or system?

38% “Hell yes”, 62% “Hell no”

Hell no

Hell yes

0 10 20 30 40 50 60 70 80 90

Respondents

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Set Yourself Apart

The point of research is to come up with exciting ideas that solve problems. Not copy others’ work.

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Set Yourself Apart

I'm more creative than that.“ ”

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There’s No Reward

New studies confirming old studies have no chance of publication.

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There’s No Reward

Reviewers […] didn't feel replication was necessary even though the original study was specific to a single company.

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There’s No Reward

I very frequently see reviewers criticize submissions for presenting results that are “not novel” or “have already been shown”.

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There’s No Reward

I very frequently see reviewers criticize submissions for presenting results that are “not novel” or “have already been shown”.

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Responding to IncentivesOpen access and replication. A true scientist’s ideals, but see:The grad student must conform.

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Haikusstudies should break

ground replication wastes our

timelet's find new

problems

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Haikus

think analyzingCMC is tough? try it

reproducibly!

“”

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Haikus

repeat to be surewe stand on giants’

shouldersbut do so on faith

“”

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83% have not62% will not

(But we’ll need to replicate the study to be sure.)

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Why?

repeat to be surewe stand on giant's shouldersbut do so on faith

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Why?

Replication is a critical component of scientific research, and it should be encouraged and rewarded. The lack of it is detrimental to the scientific soundness of our discipline.

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Why?

we lack the time forreplication of studiesjust review strictly

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Why?

think analyzingCMC is tough? try it reproducibly!

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Why?

It seems like the best outcome for a replication, rather than success, is actually a refutation of the original study.

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Why?

Because its's a waste of time: HCI studies are so small, I know they surely WON'T replicate, so why bother!

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Why?

CHI is too cutting edge for things like replication, or good science, or careful analysis, or the humility to accept that other topics besides Fitts' Law deserve dozens of nearly-identical studies.

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Why?

I do not intend on taking the risk of replicating some of my favorite works unless I see evidence that the CHI community supports such a thing.

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There’s No RewardCase A. Confirmation of the earlier results (very boring)

Case B. Conflict with earlier results (unpublishable problem)