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

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conference contribution
posted on 2023-06-10, 06:19 authored by Fiorenzo ColarussoFiorenzo Colarusso, Peter ChengPeter Cheng, Grecia Garcia GarciaGrecia Garcia Garcia, Aaron Stockdill, Daniel Raggi, Mateja Jamnik
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.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23), April 23–28, 2023, Hamburg, Germany.

Publisher

ACM Digital Library

Page range

a438

Event name

CHI Conference on Human Factors in Computing Systems (CHI ’23)

Event location

Hamburg

Event type

conference

Event date

April 23-28 2023

Department affiliated with

  • Informatics Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2023-02-23

First Open Access (FOA) Date

2023-05-04

First Compliant Deposit (FCD) Date

2023-02-23

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