Determinants of task performance in a visual decision-making process

When engaging in a visual-aided task, decision making becomes a multifaceted process that includes the factors usability, visual design aesthetics, emotion and cognitive load. We develop and test a decision-making model by measuring usability, visual design aesthetics, emotion and cognitive load within a structural equation model (SEM). This research model is the first to combine these constructs to study the relationships between usability, design aesthetics, emotion and cognitive load as they relate to post-task confidence and task performance. Results show that usability, visual design, emotion and cognitive load significantly affect the user’s post-decision confidence and performance. The implications are that well-designed visuals added to a decision-making process model induce positive effects, because cognitive efficiency increases resulting in enhanced task confidence and performance.

[1]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[2]  Gerardine DeSanctis,et al.  Understanding the effectiveness of computer graphics for decision support: a cumulative experimental approach , 1986, CACM.

[3]  E. B. Andersen,et al.  Modern factor analysis , 1961 .

[4]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[5]  Norman L. Chervany,et al.  An Experimental Evaluation of Information Overload in a Production Environment , 1974 .

[6]  Yung-Ming Li,et al.  Increasing trust in mobile commerce through design aesthetics , 2010, Comput. Hum. Behav..

[7]  Ilze Zigurs,et al.  A test of task-technology fit theory for group support systems , 1999, DATB.

[8]  Ying Zhu,et al.  Measuring Effective Data Visualization , 2007, ISVC.

[9]  Diane M. Strong,et al.  Extending the technology acceptance model with task-technology fit constructs , 1999, Inf. Manag..

[10]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[11]  Gitte Lindgaard,et al.  Attention web designers: You have 50 milliseconds to make a good first impression! , 2006, Behav. Inf. Technol..

[12]  Dianne M. Finkelstein,et al.  A Beginner's Guide to Structural Equation Modeling , 2005, Technometrics.

[13]  Patrick Brézillon,et al.  Representation of real-time decision-making by contextual graphs based simulation , 2013, J. Decis. Syst..

[14]  H. Osborne,et al.  Some Theories of Aesthetic Judgment , 1979 .

[15]  R. Gurrea,et al.  The role played by perceived usability, satisfaction and consumer trust on website loyalty , 2006, Inf. Manag..

[16]  C. R. Franz,et al.  Group process and conflict in system development , 1989 .

[17]  R. Oliver A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions , 1980 .

[18]  Dianne Cyr,et al.  Web site design, trust, satisfaction and e-loyalty: the Indian experience , 2008, Online Inf. Rev..

[19]  Kieran Mathieson,et al.  Beyond the interface: Ease of use and task/technology fit , 1998, Inf. Manag..

[20]  F. Paas,et al.  Memory load and the cognitive pupillary response in aging. , 2004, Psychophysiology.

[21]  Noam Tractinsky,et al.  Toward the Study of Aesthetics in Information Technology , 2004, ICIS.

[22]  John W. Tukey,et al.  Data-Based Graphics: Visual Display in the Decades to Come , 1990 .

[23]  I. Ajzen,et al.  Attitude-behavior relations: A theoretical analysis and review of empirical research. , 1977 .

[24]  Edward Rolf Tufte,et al.  The visual display of quantitative information , 1985 .

[25]  U. M. Feyyad Data mining and knowledge discovery: making sense out of data , 1996 .

[26]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[27]  Anthony R. Hendrickson,et al.  Using Davis's Perceived Usefulness and Ease-of-use Instruments for Decision Making: A Confirmatory and Multigroup Invariance Analysis , 1998 .

[28]  Ronald N. Taylor PSYCHOLOGICAL DETERMINANTS OF BOUNDED RATIONALITY: IMPLICATIONS FOR DECISION‐MAKING STRATEGIES , 1975 .

[29]  Gloria E. Phillips-Wren,et al.  Impact of Social Media and Web 2.0 on Decision-Making , 2011, J. Decis. Syst..

[30]  Anne Beaudry,et al.  The Other Side of Acceptance: Studying the Direct and Indirect Effects of Emotions on Information Technology Use , 2010, MIS Q..

[31]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[32]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[33]  Dennis F. Galletta,et al.  Cognitive Fit: An Empirical Study of Information Acquisition , 1991, Inf. Syst. Res..

[34]  Ilze Zigurs,et al.  A Theory of Task/Technology Fit and Group Support Systems Effectiveness , 1998, MIS Q..

[35]  Andreas Sonderegger,et al.  The influence of design aesthetics in usability testing: effects on user performance and perceived usability. , 2010, Applied ergonomics.

[36]  William David Salisbury,et al.  Perceived security and World Wide Web purchase intention , 2001, Ind. Manag. Data Syst..

[37]  Victor R. Prybutok,et al.  Information Systems as a Reference Discipline for Visual Design , 2012, Int. J. Art Cult. Des. Technol..

[38]  Wynne W. Chin,et al.  Structural Equation Modeling in Marketing: Some Practical Reminders , 2008 .

[39]  Dianne Cyr,et al.  Colour appeal in website design within and across cultures: A multi-method evaluation , 2010, Int. J. Hum. Comput. Stud..

[40]  David J. Ketchen,et al.  Addressing Common Method Variance: Guidelines for Survey Research on Information Technology, Operations, and Supply Chain Management , 2011, IEEE Transactions on Engineering Management.

[41]  Sirkka L. Jarvenpaa,et al.  The effect of task demands and graphical format on information processing strategies , 1989 .

[42]  Andrea Seaton Kelton,et al.  The Effects of Information Presentation Format on Judgment and Decision Making: A Review of the Information Systems Research , 2010, J. Inf. Syst..

[43]  Ramesh Sharda,et al.  Decision support system effectiveness: a review and an empirical test , 1988 .

[44]  G Kolata,et al.  Computer graphics comes to statistics. , 1982, Science.

[45]  S. Folkman,et al.  Stress, appraisal, and coping , 1974 .

[46]  Katherine McCoy,et al.  Information and Persuasion: Rivals or Partners? , 2000, Design Issues.

[47]  Rita L. Sallam,et al.  Magic Quadrant for Business Intelligence and Analytics Platforms , 2013 .

[48]  Milena M. Head,et al.  Exploring human images in website design: a multi-method approach , 2009 .

[49]  Andrew Vande Moere,et al.  The Effect of Aesthetic on the Usability of Data Visualization , 2007, 2007 11th International Conference Information Visualization (IV '07).

[50]  Frédéric Adam,et al.  20 years of decision making and decision support research published by the Journal of Decision Systems , 2012, J. Decis. Syst..

[51]  Tiffany A. Whittaker A Beginner's Guide to Structural Equation Modeling (3rd ed.) , 2011 .