Harnessing Curiosity to Increase Correctness in End-User Programming. Aaron Wilson, Margaret Burnett, Laura Beckwith, Orion Granatir, Ledah Casburn, Curtis Cook, Mike Durham, and Gregg Rothermel. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '03). (ACM paywalled link).
Despite their ability to help with program correctness, assertions have been notoriously unpopular--even with professional programmers. End-user programmers seem even less likely to appreciate the value of assertions; yet end-user programs suffer from serious correctness problems that assertions could help detect. This leads to the following question: can end users be enticed to enter assertions? To investigate this question, we have devised a curiosity-centered approach to eliciting assertions from end users, built on a surprise-explain-reward strategy. Our follow-up work with end-user participants shows that the approach is effective in encouraging end users to enter assertions that help them find errors.
Via a seminar on Human Factors in Programming Languages, by Eric Walkingshaw. To quote Eric's blurb:
This paper introduces the surprise-explain-reward strategy in the context of encouraging end-user programmers to test their programs. Attention investment provides a theory about how users decide where to spend their attention based on cost, risk, and reward. Surprise-explain-reward provides a strategy for altering this equation. Specifically, it attempts to lower the (perceived and actual) costs associated with learning a new feature, while making the reward more immediate and clear.
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