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020 _a9783031026072
_9978-3-031-02607-2
024 7 _a10.1007/978-3-031-02607-2
_2doi
050 4 _aQA76.9.I52
072 7 _aUYZF
_2bicssc
072 7 _aMAT013000
_2bisacsh
072 7 _aUYZF
_2thema
082 0 4 _a001.4226
_223
100 1 _aOttley, Alvitta.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981605
245 1 0 _aAdaptive and Personalized Visualization
_h[electronic resource] /
_cby Alvitta Ottley.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXVII, 99 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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 thatis 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.
650 0 _aInformation visualization.
_914255
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 0 _aData mining.
_93907
650 1 4 _aData and Information Visualization.
_933848
650 2 4 _aData Structures and Information Theory.
_931923
650 2 4 _aData Mining and Knowledge Discovery.
_981606
710 2 _aSpringerLink (Online service)
_981607
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031003516
776 0 8 _iPrinted edition:
_z9783031014796
776 0 8 _iPrinted edition:
_z9783031037351
830 0 _aSynthesis Lectures on Visualization,
_x2159-5178
_981608
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02607-2
912 _aZDB-2-SXSC
942 _cEBK
999 _c85208
_d85208