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Title: Bias by default? A means for a priori interface measurement

Abstract

Systems have biases. Their interfaces naturally guide a user toward specific patterns of action. For example, modern word-processors and spreadsheets are both capable of taking word wrapping, checking spelling, storing tables, and calculating formulas. You could write a paper in a spreadsheet or could do simple business modeling in a word-processor. However, their interfaces naturally communicate which function they are designed for. Visual analytic interfaces also have biases. In this paper, we outline why simple Markov models are a plausible tool for investigating that bias and how they might be applied. We also discuss some anticipated difficulties in such modeling and touch briefly on what some Markov model extensions might provide.

Authors:
;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1415702
Report Number(s):
PNNL-SA-127327
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: DECISIVe 2017: Dealing with Cognitive Biases in Visualisations : a VIS 2017 workshop, October 2, 2017, Phoenix, Arizona
Country of Publication:
United States
Language:
English

Citation Formats

Cottam, Joseph A., and Blaha, Leslie M. Bias by default? A means for a priori interface measurement. United States: N. p., 2017. Web.
Cottam, Joseph A., & Blaha, Leslie M. Bias by default? A means for a priori interface measurement. United States.
Cottam, Joseph A., and Blaha, Leslie M. Tue . "Bias by default? A means for a priori interface measurement". United States. doi:.
@article{osti_1415702,
title = {Bias by default? A means for a priori interface measurement},
author = {Cottam, Joseph A. and Blaha, Leslie M.},
abstractNote = {Systems have biases. Their interfaces naturally guide a user toward specific patterns of action. For example, modern word-processors and spreadsheets are both capable of taking word wrapping, checking spelling, storing tables, and calculating formulas. You could write a paper in a spreadsheet or could do simple business modeling in a word-processor. However, their interfaces naturally communicate which function they are designed for. Visual analytic interfaces also have biases. In this paper, we outline why simple Markov models are a plausible tool for investigating that bias and how they might be applied. We also discuss some anticipated difficulties in such modeling and touch briefly on what some Markov model extensions might provide.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Oct 03 00:00:00 EDT 2017},
month = {Tue Oct 03 00:00:00 EDT 2017}
}

Conference:
Other availability
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