Graphical Jogthrough applied to educational software offers quantitative and qualitative data for a rough estimation of the novice–becoming–expert pace¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 1999 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? From their evaluation experience the authors argue the method could offer designers quantitative and qualitative data for formulating a useful, though rough in some aspects, estimation of the novice–becoming–expert pace end users might follow. → Stavros Demetriadis 1999

Evidence¶

Stavros Demetriadis 1999¶

Stavros Demetriadis, Athanasios Karoulis, Andreas Pombortsis. (1999). “Graphical” Jogthrough: expert based methodology for user interface evaluation, applied in the case of an educational simulation interface. Computers and Education. https://telearn.hal.science/hal-00197391

q2 · i? · design · r2

Authors’ interpretive conclusion from the reported evaluation session of the Network Simulator interface using the Graphical Jogthrough method; this is the authors’ argument rather than a measured effect, and no effect size is printed.

"we argue that the method could offer designers quantitative and qualitative data for formulating a useful (though rough in some aspects) estimation about the novice–becoming–expert pace that end users might follow when working with the evaluated interface."

Discussion¶

Related Claims¶

• In Graphical Jogthrough, evaluators’ ratings yield a graph of estimated proportion of effective users versus the time needed to achieve effectiveness — related
• Instructional guidance that helps novices can become redundant or counterproductive as expertise grows. — related
• Task progression graphs show difficult Narrative Manager events raise the distance-to-goal curve while assistive events such as hiding materials produce flat zones that cost user time — related