Application of the heuristic-systematic model to computer code trustworthiness: The influence of reputation and transparency

Autor: Gene M. Alarcon, Rose Gamble, Sarah A. Jessup, Charles Walter, Tyler J. Ryan, David W. Wood, Chris S. Calhoun
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Cogent Psychology, Vol 4, Iss 1 (2017)
Druh dokumentu: article
ISSN: 2331-1908
23311908
DOI: 10.1080/23311908.2017.1389640
Popis: Computer programs (code) are integral to the functions of current society. Yet, little is known about why programmers trust code they did not create. The current paper applied the heuristic-systematic model (HSM) of information processing to perceptions of code trust for reuse. The studies explored transparency (readability and organization) and reputation (source) as factors that influenced trust perceptions and time spent reviewing code using professional programmers. Source and readability manipulations led to higher trustworthiness assessments in the first study. Organization had nonlinear effects on trustworthiness. A three-way interaction including time was also found. The second online study largely replicated the first study’s main and interaction effects for trustworthiness, but the main effects on time were not significant. Our findings suggest the relationships of transparency on trustworthiness are not as straightforward as previously thought. Additionally, the findings of the current study expand the HSM to trust in code.
Databáze: Directory of Open Access Journals
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