A novel interaction for competence assessment using micro-behaviors: Extending CACHET to graphs and charts

Autor: Fiorenzo Colarusso, Peter C-H. Cheng, Grecia Garcia Garcia, Aaron Stockdill, Daniel Raggi, Mateja Jamnik
Rok vydání: 2023
Předmět:
DOI: 10.17863/cam.94950
Popis: Competence Assessment by Chunk Hierarchy Evaluation with Transcription-tasks (CACHET) was proposed by Cheng [14]. It analyses micro-behaviors captured during cycles of stimulus view- ing and copying in order to probe chunk structures in memory. This study extends CACHET by applying it to the domain of graphs and charts. Since drawing strategies are diverse, a new interactive stimulus presentation method is introduced: Transcription with In- cremental Presentation of the Stimulus (TIPS). TIPS aims to reduce strategy variations that mask the chunking signal by giving users manual element-by-element control over the display of the stimulus. The potential of TIPS, is shown by the analysis of six participants transcriptions of stimuli of different levels of familiarity and com- plexity that reveal clear signals of chunking. To understand how the chunk size and individual differences drive TIPS measurements, a CPM-GOMS model was constructed to formalize the cognitive process involved in stimulus comprehension and chunk creation.
Databáze: OpenAIRE