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020 _a9783031026072
024 7 _a10.1007/978-3-031-02607-2
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aBF367
_b2020 EB
100 1 _aOttley, Alvitta
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9687555
245 1 0 _aAdaptive and Personalized Visualization
_cby Alvitta Ottley
250 _a1st edition 2020
264 1 _aCham
_bSpringer International Publishing
_c2020
300 _a1 recurso en línea (XVII, 99 páginas)
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aSynthesis Lectures on Visualization
_x2159-5178
505 0 _aPreface -- Acknowledgments -- Text Credits -- A Framework for Thinking About Individual Differences -- Cognitive Traits that Matter -- Spatial Ability and Bayesian Reasoning -- Big-5, Locus of Control, and Searching Trees -- Locus of Control and Strategy -- Learning from Interactions -- The Adaptive User -- Future Directions and Open Challenges -- Bibliography -- Author's Biography.
520 _aThere is ample evidence in the visualization community that individual differences matter. These prior works highlight various personality traits and cognitive abilities that can modulate the use of the visualization systems and demonstrate a measurable influence on speed, accuracy, process, and attention. Perhaps the most important implication of this body of work is that we can use individual differences as a mechanism for estimating when a design is effective or to identify when people may struggle with visualization designs. These effects can have a critical impact on consequential decision-making processes. One study that appears in this book investigated the impact of visualization on medical decision-making showed that visual aides tended to be most beneficial for people with high spatial ability, a metric that measures a person's ability to represent and manipulate two- or three-dimensional representations of objects mentally. The results showed that participants with low spatial ability had difficulty interpreting and analyzing the underlying medical data when they use visual aids. Overall, approximately 50% of the studied population were unsupported by the visualization tools when making a potentially life-critical decision. As data fluency continues to become an essential skill for our everyday lives, we must embrace the growing need to understand the factors that may render our tools ineffective and identify concrete steps for improvement. This book presents my current understanding of how individual differences in personality interact with visualization use and draws from recent research in the Visualization, Human-Computer Interaction, and Psychology communities. We focus on the specific designs and tasks for which there is concrete evidence of performance divergence due to personality. Additionally, we highlight an exciting research agenda that is centered around creating tailored visualization systems that are aligned with people's abilities. The purpose of this book is to underscore the need to consider individual differences when designing and evaluating visualization systems and to call attention to this critical research direction.
988 _aSynthesis Collection of Technology_2020
650 7 _2embne
_9143894
_aImágenes mentales
650 7 _2embne
_9139957
_aImaginación
650 7 _2embne
_9144441
_aArquetipo (Psicología)
776 0 8 _iPrinted edition:
_z9783031003516
776 0 8 _iPrinted edition:
_z9783031014796
776 0 8 _iPrinted edition:
_z9783031037351
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02607-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2023
_dz
_eIG
_zSI