Gaining Insights Beyond Time and Error

Weidong Huang

ISBN 10: 383833485X / ISBN 13: 9783838334851

Editore: LAP LAMBERT Academic Publishing Dez 2009, 2009

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Neuware -Time and error measures have limitations in revealing in-depth insights into effectiveness of graph visualizations. For better evaluations, this book introduces a cognitive approach. Three evaluations are presented with each using a different method measuring more than just time and error. These methods include purpose-designed questionnaires and interviews, cognitive load measures and eye tracking technology. Contributions of this work fall into two areas: evaluation methodology and domain knowledge. Our methodological contribution is that we define and apply a cognitive approach in evaluation of graph visualizations. A large set of empirical results and observations are produced demonstrating the usefulness of the cognitive approach. Contributions in improving our domain knowledge are diverse. These include (but not limit to) human sociogram perception conventions, a construct of cognitive load, a model of performance, mental effort and cognitive load, new measures of cognitive load and visualization efficiency, a new concept of geodesic-path tendency. This work should be useful to practitioners, researchers and students in Visualization, User Interface and Human Factors fields.Books on Demand GmbH, Überseering 33, 22297 Hamburg 196 pp. Englisch.

Codice articolo 9783838334851

Dati bibliografici

• Titolo: Gaining Insights Beyond Time and Error
• Editore: LAP LAMBERT Academic Publishing Dez 2009
• Data di pubblicazione: 2009
• Lingua: Inglese
• ISBN 10: 383833485X
• ISBN 13: 9783838334851
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 220 L x 150 A x 12 P (millimetri) 220 millimetri di larghezza per 150 millimetri di altezza per 12 millimetri di profondità
• Peso: 310 grammi

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Riassunto

Time and error measures have limitations in revealing in-depth insights into effectiveness of graph visualizations. For better evaluations, this book introduces a cognitive approach. Three evaluations are presented with each using a different method measuring more than just time and error. These methods include purpose-designed questionnaires and interviews, cognitive load measures and eye tracking technology. Contributions of this work fall into two areas: evaluation methodology and domain knowledge. Our methodological contribution is that we define and apply a cognitive approach in evaluation of graph visualizations. A large set of empirical results and observations are produced demonstrating the usefulness of the cognitive approach. Contributions in improving our domain knowledge are diverse. These include (but not limit to) human sociogram perception conventions, a construct of cognitive load, a model of performance, mental effort and cognitive load, new measures of cognitive load and visualization efficiency, a new concept of geodesic-path tendency. This work should be useful to practitioners, researchers and students in Visualization, User Interface and Human Factors fields.