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Characterizing the Sequential Structure of Interactive Behaviors Through Statistical and Grammatical Techniques
Abstract
Statistical and grammatical techniques are reviewed as an integrated approach to exploratory sequential data analysis (ESDA) for categorical data. The first step is the identification and validation of the categories to be analyzed. The main statistical techniques discussed are log-linear modeling and lag sequential analysis. These methods allow for the statistical evaluation of a wide range of general and specific hypotheses about sequential structure. Grammatical techniques based on Gary M. Olson is a psychologist interested in the contributions of cognitive, social, and organizational research to the design and evaluation of computer systems; he
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Research in human-computer interaction characterizes user interaction patterns as structurally similar to human language, with latent structural patterns (a grammar) reflecting user strategies and preferences in performing routine tasks.
“This work was inspired by research in human-computer interaction (HCI) that characterizes user interaction patterns as being structurally similar to human language, 8,53 with latent structural patterns - or a grammar - reflecting user strategies and preferences in performing routine tasks. 54,55”
From A language model framework for sequence modeling of EHR audit logs to characterize clinician-EHR interactions (2026) · cites this paper as [8]
Audit log-based action sequences are shaped by clinicians' professional expertise, patient situations, clinical task requirements, and EHR user interfaces.
“these audit log-based action sequences are shaped by clinicians' professional expertise, patient situations, clinical task requirements, and EHR user interfaces.”
From A language model framework for sequence modeling of EHR audit logs to characterize clinician-EHR interactions (2026) · cites this paper as [8]
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References 35 · Cited by 104
Metadata
- Authors
- Olson, G., Herbsleb, J., & Reuter, H.
- Affiliations
- University of Michigan (US)
- Software Engineering Institute (US)
- ORCID
- Herbsleb, James
- Venue
- Human-Computer Interaction
- Publisher
- Informa UK Limited
- Published
- 1994-09-01
- Volume
- 9
- Issue
- 3
- Pages
- 427-472
- ISSN
- 0737-0024 (ISSN-L)
- OpenAlex
- W2059286004
- Cited by
- 104
- References
- 35
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 4 · 2021: 4 · 2020: 3 · 2019: 1 · 2018: 1 · 2017: 2 · 2016: 4 · 2015: 3 · 2014: 4 · 2013: 3 · 2012: 4
- FWCI
- 7.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Human-Computer Interaction (publishedVersion)
- Human-Computer Interaction
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Data Visualization and Analytics
- Physical Sciences › Computer Science › Information Systems › Data Mining Algorithms and Applications
- Keywords
- sequential data analysis, categorical data, interactive behavior, log-linear models, lag sequential analysis, category identification, sequential structure, hypothesis testing
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