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The extended model of goals, operators, methods and selection rules (GOMS) for gesture interfaces

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10278-015-9839-8openalex-snapshot
User Interaction in Semi-Automatic Segmentation of Organs at Risk: a Case Study in Radiotherapy
inferredcites →https://doi.org/10.1016/b978-0-12-384968-7.00002-3openalex-snapshot
Quantifying User Research
inferredcites →https://doi.org/10.1016/c2010-0-65192-3openalex-snapshot
Quantifying the User Experience
inferredcites →https://doi.org/10.1016/j.chb.2010.11.007openalex-snapshot
Determination of optimal paths to task goals using expert system based on GOMS model
inferredcites →https://doi.org/10.1080/00140139.2011.596948openalex-snapshot
Cognitive task demands, self-control demands and the mental well-being of office workers
inferredcites →https://doi.org/10.1080/00140139.2013.790483openalex-snapshot
Mental workload measurement for emergency operating procedures in digital nuclear power plants
inferredcites →https://doi.org/10.1080/10447318.2011.581893openalex-snapshot
Codein—A New Notation for GOMS to Handle Evaluations of Reality-Based Interaction Style Interfaces
inferredcites →https://doi.org/10.1080/10447318.2016.1220729openalex-snapshot
Using GOMS and NASA-TLX to Evaluate Human–Computer Interaction Process in Interactive Segmentation
inferredcites →https://doi.org/10.1145/235833.236050openalex-snapshot
Using GOMS for user interface design and evaluation
inferredcites →https://doi.org/10.1145/358886.358895openalex-snapshot
The keystroke-level model for user performance time with interactive systems
inferredcites →https://doi.org/10.1518/155534307x232848openalex-snapshot
Using GOMS for Modeling Routine Tasks Within Complex Sociotechnical Systems: Connecting Macrocognitive Models to Microcognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3680706openalex-extracted
The Influence of Gender on Performance in Gaming Environment with Different Typographic Factors
inferred← citeshttps://doi.org/10.1007/978-981-15-1286-5_64openalex-snapshot
Analyzing the Impact of Age and Gender on User Interaction in Gaming Environment
inferred← citeshttps://doi.org/10.1109/reepe57272.2023.10086785openalex-snapshot
MARLMUI: Multi-Agent Reinforcement Learning Approach in Mobile Adaptive User Interface
inferred← citeshttps://doi.org/10.14489/vkit.2022.11.pp.052-065openalex-snapshot
AUTOMATION OF A NETWORK OF PROBLEMS USING PROGRAMMING TOOLS
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