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A Crowdsourcing Approach To Identify Common Method Bias And Self-Representation, Margeret A. Hall, Simon Caton
A Crowdsourcing Approach To Identify Common Method Bias And Self-Representation, Margeret A. Hall, Simon Caton
Interdisciplinary Informatics Faculty Proceedings & Presentations
Pertinent questions on the measurement of social indicators are: the verification of data gained online (e.g., controlling for self-representation on social networks), and appropriate uses in community management and policy-making. Across platforms like Facebook, LinkedIn, Twitter, and blogging services, users (sub)consciously represent themselves in a way which is appropriate for their intended audience (Qui et al., 2012; Zhao et al., 2008). However, scholars in the social sciences and computer science have not yet adequately addressed controlling for self-representation, or the propensity to display or censor oneself, in their analyses (Zhao et al., 2008; Das and Kramer, 2013). As such researchers …
Toward Visualization-Specific Heuristic Evaluation, Alvin E. Tarrell, Camilla Forsell, Ann L. Fruhling, Georges Grinstein, Rita Borgo, Jean Scholtz
Toward Visualization-Specific Heuristic Evaluation, Alvin E. Tarrell, Camilla Forsell, Ann L. Fruhling, Georges Grinstein, Rita Borgo, Jean Scholtz
Interdisciplinary Informatics Faculty Proceedings & Presentations
This position paper describes heuristic evaluation as it relates to visualization and visual analytics. We review heuristic evaluation in general, then comment on previous process-based, performance-based, and framework-based efforts to adapt the method to visualization-specific needs. We postulate that the framework-based approach holds the most promise for future progress in development of visualization-specific heuristics, and propose a specific framework as a starting point. We then recommend a method for community involvement and input into the further development of the heuristic framework and more detailed design and evaluation guidelines.