Previous research has examined how eye-tracking metrics can serve as a proxy for directly measuring the amount of cognitive effort and processing required for comprehending computer code. We conducted a pilot study comprising expert (n = 10) and novice (n = 10) computer programmers to examine group differences in code comprehension abilities and perceptions. Programmers were asked to read two pieces of computer code, rate the code on various attributes, and then describe what the code does. Results indicate that experts and novices significantly differ in terms of their fixation counts made during the task, such that experts had more fixations than novices. This was counter to our hypothesis that experts would have fewer fixations than novices. We found no evidence that experts and novices differed in their average fixation durations, trustworthiness and performance perceptions, or willingness to reuse the code.
Objective We created and validated a scale to measure perceptions of system trustworthiness. Background Several scales exist in the literature that attempt to assess trustworthiness of system referents. However, existing measures suffer from limitations in their development and validation. The current study sought to develop a scale based on theory and methodological rigor. Method We conducted exploratory and confirmatory factor analyses on data from two online studies to develop the System Trustworthiness Scale (STS). Additional analyses explored the manipulation of the factors and assessed convergent and divergent validity. Results The exploratory factor analyses resulted in a three-factor solution that represented the theoretical constructs of trustworthiness: performance, purpose, and process. Confirmatory factor analyses confirmed the three-factor solution. In addition, correlation and regression analyses demonstrated the scale’s divergent and predictive validity. Conclusion The STS is a psychometrically valid and predictive scale for assessing trustworthiness perceptions of system referents. Applications The STS assesses trustworthiness perceptions of systems. Importantly, the scale differentiates performance, purpose, and process constructs and is adaptable to a variety of system referents.
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