ABSTRACT
Dynamic graphs that represent a great deal of time-series data have become increasingly common these days. Although previous research revealed that blink facilitates visual search tasks by attracting human attention, blink features have not been clearly evident in a dynamic graph reading context. This study examines the effects of blink on the user's affective experience and usability of using a blinking line graph. Additionally, this study describes the empirical experiment setup for investigating the characteristics of task types as a moderator to the relationship between blink and the user's experience. This research aims (1) to theoretically contribute graph comprehension domain by investigating the effects of blink on a graph comprehension process, (2) to design a quantitative experiment and to propose possible hypotheses, and (3) to understand the influence of task types on reading of a blinking graph.
- A. Morse, "Some principles for the effective display of data," ACM SIGGRAPH Computer Graphics, vol. 13, 1979, pp. 94--101, doi:ACM O-89791-004-4/79/0800-094. Google ScholarDigital Library
- S. L. Smith and N. C. Goodwin, "Blink coding for information display," Human Factor, vol. 13. 1971, pp. 283--290.Google ScholarCross Ref
- J. H. R. Maunsell and S. Treue, "Feature-based attention in visual cortex," Trends in Neurosciences, vol. 29, June. 2006, pp. 317--322, doi:10.1016/j.tins.2006.04.001.Google ScholarCross Ref
- M. Girelli and S. J. Luck, "Are the same attentional mechanisms used to detect visual search targets defined by color, orientation, and motion?," Journal of Cognitive Neuroscience, vol. 9, 1997, pp. 238--253. Google ScholarDigital Library
- Y. Pinto, C. N. L. Olivers, and J. Theeuwes, "When is search for a static target among dynamic distractors efficient?," Journal of Experimental Psychology: Human Perception and Performance, vol. 32, 2006, pp. 59--72, doi:10.1037/0096-1523.32.1.59.Google ScholarCross Ref
- J. Hartmann, A. Sutcliffe, and A. D. Angeli. "Investigating attractiveness in Web User Interfaces," Proc. SIGCHI Conf. Human Factors in Computing Systems: Empirical Studies of Web Interaction (CHI 07), ACM Press, Apr. 2007, pp. 387--396, doi:ACM 978-1-59593-593-9/07/0004. Google ScholarDigital Library
- I. Nakarada-Kordic and B. Lobb. "Effect of perceived attractiveness of web interface design on visual search of web sites," Proc. 6th ACM SIGCHI New Zealand Chapter's Inter. Conf. Computer-Human Interaction: Making CHI Natural (CHINZ 05), ACM Press, July. 2005, pp. 25--27, doi:ACM 1-59593-036-1/04/10. Google ScholarDigital Library
- W. Lee and I. Benbasat, "Designing an electronic commerce interface: Attention and product memory as elicited by web design," Electronic Commerce Research and Applications, vol. 2, Apr. 2003, pp. 240--253, doi:10.1016/S1567--4223(03)00026-7.Google ScholarCross Ref
- N. Gershon and W. Page, "What storytelling can do for Information Visualization," Communications of the ACM, vol. 44, Aug. 2001, pp. 31--37. Google ScholarDigital Library
- J. Nielsen and H. Loranger, Prioritizing Web Usability. C. Peri, Ed. Berkeley, CA: New Riders, 2006. Google ScholarDigital Library
- T. Takahashi and Y. Tsukahara, "Pocket Monster incident and low luminance visual stimuli: Special reference to deep red flicker stimulation," Acfa Faediafrica Japonica, vol. 40, May. 1998, pp. 631--637.Google ScholarCross Ref
- W. Hong, J. Y. L. Thong, and K. Y. Tam, "How do web users respond to non-banner-Ads animation? The Effects of Task Type and User Experience," Journal of the American Society for Information Science and Technology, vol. 58, June. 2007, pp. 1467--1482, doi:10.1002/asi.20624. Google ScholarDigital Library
- W. Hong, J. Y. L. Thong, and K. Y. Tam, "Does animation attract online users' attention?: The effects of flash on information search performance and perceptions," Information Systems Research, vol. 15, Mar. 2004, pp. 60--86, doi:10.1287/isre.1040.0017. Google ScholarDigital Library
- K. Hornbæk, "Current practice in measuring usability: Challenges to usability studies and research," International Journal of Human-Computer Studies, vol. 64, Feb. 2006, pp. 79--102, doi:10.1016/j.ijhcs.2005.06.002. Google ScholarDigital Library
- I. Zigurs and B. K. Buckland, "A theory of Task/Technology Fit and Group Support Systems effectiveness," MIS Quarterly, vol. 22, Sep. 1998, pp. 313--334. Google ScholarDigital Library
- D. J. Campbell, "Task complexity: A review and analysis," The Academy of Management Review, vol. 13, Jan. 1988, pp. 40--52.Google ScholarCross Ref
- N. Kumar and I. Benbasat, "The effect of relationship encoding, task type, and complexity on information representation: An empirical evaluation of 2D and 3D line graphs," MIS Quarterly, vol. 28, June. 2004, pp. 255--281. Google ScholarDigital Library
- S. P. Callahan, et al. "VisTrails: Visualization meets data management," Proc. ACM SIGMOD Inter. Conf. Management of Data (SIGMOD 06), ACM Press, Jun. 2006, pp. 745--747, doi:ACM 1595932569/06/0006. Google ScholarDigital Library
- V. Mendoza and D. G. Novick. "Usability over time," Proc. 23rd Annual Inter. Conf. Design of Communication: Documenting&Designing for Pervasive Information (SIGDOC 05), ACM Press, Sept. 2005, pp. 151--158, doi:ACM 1-59593-175-9/05/0009. Google ScholarDigital Library
- E. Karapanos, M. Hassenzahl, and J-B. Martens. "User experience over time," Proc. Works in Progress. Human Factors in Computing Systems (CHI 08), ACM Press, Apr. 2008, pp. 3561--3566, doi:ACM 978-1-60558-012-8/08/04. Google ScholarDigital Library
- S. N. Friel, F. R. Curcio, and G. W. Bright, "Making sense of graphs: Critical factors influencing comprehension and instructional implications," Journal for Research in Mathematics Education, vol. 32, Mar. 2001, pp. 124--158.Google ScholarCross Ref
- M. Hegarty, "Dynamic visualizations and learning: getting to the difficult questions," Learning and Instruction, vol. 14, 2004, pp. 343--351.Google ScholarCross Ref
- J. G. Hollands and I. Spence, "Judging proportion with graphs: The summation model," Applied Cognitive Psychology, vol. 12, 1998, pp. 173--190, doi:CCC 0888-4080/98/020173-18.Google ScholarCross Ref
- S. B. Trickett and J. G. Trafton, "Spatial transformations in graph comprehension," in Diagrams, A. Blackwell, Ed. Berlin Heidelberg: Springer-Verlag, 2004, pp. 372--375.Google Scholar
- S. B. Trickett and J. G. Trafton, "Toward a comprehensive model of graph comprehension: Making the case for spatial cognition," in Diagrams, D. Barker-Plummer, Ed. Berlin Heidelberg: Springer-Verlag, 2006, pp. 286--300. Google ScholarDigital Library
- D. Simkin and R. Hastie, "An information-processing analysis of graph perception," Journal of the American Statistical Association, vol. 82, June. 1987, pp. 454--465.Google ScholarCross Ref
- P. Shah and P. A. Carpenter, "Conceptual limitations in comprehending line graphs," Journal of Experimental Psychology: General, vol. 124, 1995, pp. 43--61.Google ScholarCross Ref
- S. Pinker, "A theory of graph comprehension," in Artificial Intelligence and the Future of Testing, R. Feedle, Ed. 1990. pp. 73--126.Google Scholar
- G. L. West, A. A. K. Anderson, and J. Pratt, "Motivationally significant stimuli show visual prior entry: Evidence for attentional capture." Journal of Experimental Psychology: Human Perception and Performance, vol. 35, 2009, pp. 1032--1042, doi:10.1037/a0014493.Google ScholarCross Ref
- J. R. Brockmole and W. R. Boot, "Should I stay or should I go? Attentional disengagement from visually unique and unexpected items at fixation," Journal of Experimental Psychology: Human Perception and Performance, vol. 35, 2009, pp. 808--815, doi:10.1037/a0013707.Google ScholarCross Ref
- C. M. Bloomer, Principles of Visual Perception. London: The Herbert Press, 1990.Google Scholar
- I. E. Gordon, Theories of Visual Perception, 3rd ed. New York: Psychology Press, 2004.Google Scholar
- D. A. Norman, A. Ortony, and D. M. Russell, "Affect and machine design: Lessons for the development of autonomous machines," IBM Systems Journal, vol. 42, 2003, pp. 38--44. Google ScholarDigital Library
- H. Sun and P. Zhang, "The role of affect in Information Systems research: A critical survey and a research model," in HCI in MIS (I): Foundations, P. Zhang and D. Galletta, Eds. Sharpe Publisher, 2005; pp. 333--333.Google Scholar
- D. A. Norman, Emotional design: Why We Love (or Hate) Everyday Things. New York: Basic Books, 2004, pp. 21--29.Google Scholar
- B. Reeves and C. Nass, The Media Equation: How People Treat Computers, Television, and New Media Like Real People and Places. Cambridge: CSLI Publications, 1998, pp. 131--139. Google ScholarDigital Library
- J. P. Chin, V. A. Diehl, and K. L. Norman. "Development of an instrument for measuring user satisfaction of the Human-Computer Interface," Proc. ACM Conf. Human Factors in Computing Systems (CHI 88), ACM Press, 1988. pp. 213--218, doi:ACM-O-89791-265-9/88/0004/021. Google ScholarDigital Library
- S. M. Kosslyn, Graph Design for the Eye and Mind. New York: Oxford University Press, 2006.Google Scholar
Index Terms
- Relationship of blink, affect, and usability of graph reading tasks
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