Abstract
We propose D-FLIP, a novel algorithm that dynamically displays a set of digital photos using different principles for organizing them. A variety of requirements for photo arrangements can be flexibly replaced or added through the interaction and the results are continuously and dynamically displayed. D-FLIP uses an approach based on combinatorial optimization and emergent computation, where geometric parameters such as location, size, and photo angle are considered to be functions of time; dynamically determined by local relationships among adjacent photos at every time instance. As a consequence, the global layout of all photos is automatically varied. We first present examples of photograph behaviors that demonstrate the algorithm and then investigate users’ task engagement using EEG in the context of story preparation and telling. The result shows that D-FLIP requires less task engagement and mental efforts in order to support storytelling.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kirk, D., Sellen, A., Rother, C., Wood, K.: Understanding photowork. In: CHI (2006)
Bederson, B.B.: PhotoMesa: a zoomable image browser using quantum treemaps and bubblemaps. In: UIST (2001)
Dachselt, R., Frisch, M., Weiland, M.: FacetZoom: a continuous multi-scale widget for navigating hierarchical metadata. In: CHI (2008)
Graham, A., Garcia-Molina, H., Paepcke, A., Winograd, T.: Time as essence for photo browsing through personal digital libraries. In: JCDL (2002)
Ahern, S., Naaman, M., Nair, R., Yang, J.H.-I.: World explorer: visualizing aggregate data from unstructured text in geo-referenced collections. In: JCDL (2007)
Gomi, A., Itoh, T.: A personal photograph browser for life log analysis based on location, time, and person. In: SAC (2011)
Brivio, P., Tarini, M., Cignoni, P.: Browsing Large Image Datasets through Voronoi Diagrams. IEEE Trans. Vis. Comput. Graph. 16(6) (2010)
Itoh, T., Yamaguchi, Y., Ikehata, Y., Kajinaga, Y.: Hierarchical data visualization using a fast rectangle-packing algorithm. IEEE TVCG 10(3) (2004)
Gomi, A., Miyazaki, R., Itoh, T., Jia, L.: CAT: A Hierarchical Image Browser Using a Rectangle Packing Technique. In: Book CAT: A Hierarchical Image Browser Using a Rectangle Packing Technique (2008)
Rother, C., Bordeaux, L., Hamadi, Y., Blake, A.: AutoCollage. SIGGRAPH (2006)
Wang, J., Quan, L., Sun, J., Tang, X., Shum, H.-Y.: Picture Collage. In: CVPR (2006)
Rother, C., Kumar, S., Kolmogorov, V., Blake, A.: Digital Tapestry. In: CVPR (2005)
Kim, S., Yoon, M., Whang, S.M., Tversky, B., Morrison, J.B.: The effect of animation on comprehension and interest. JCAL 23(3) (2007)
Rieber, L.P.: Animation, incidental learning, and continuing motivation. Journal of Educational Psychology 83(3) (1991)
Kintsch, W.: Learning from text, levels of comprehension, or: Why anyone would read a story anyway. Poetics 9 (1980)
Vi, C., Subramanian, S.: Detecting error-related negativity for interaction design. In: CHI (2012)
Hagemann, D., Hewig, J., Walter, C., Schankin, A., Danner, D., Naumann, E.: Positive evidence for Eysenck’s arousal hypothesis: A combined EEG and MRI study with multiple measurement occasions. J. of Personality and Individual Differences (2009)
Berka, C., Levendowski, D.J., Lumicao, M.N., Yau, A., Davis, G., Zivkovic, V.T., Olmstead, R.E., Tremoulet, P.D., Craven, P.L.: EEG Correlates of Task Engagement and Mental Workload in Vigilance, Learning, and Memory Tasks. ACEM 78(5) (2007)
Matthews, G., Campbell, S.E., Falconer, S., Joyner, L.A., Huggins, J., Gilliland, K., Grier, R., Warm, J.S.: ‘Fundamental Dimensions of Subjective State in Performance Settings: Task Engagement, Distress, and Worry’. Emotion 2(4) (2002)
Berka, C., Levendowski, D.J., Olmstead, R.E., Popovic, M.V., Cvetinovic, M., Petrovic, M.M., Davis, G., Lumicao, M.N., Westbrook, P.: Real-time Analysis of EEG Indices of Alertness, Cognition, and Memory with a Wireless EEG Headset. IJHCI 17(2) (2004)
Pope, A.T., Bogart, E.H., Bartolome, D.S.: Biocybernetic system evaluates indices of operator engagement in automated task. Biological Psychology 40 (1995)
Rodden, K., Wood, K.R.: How do people manage their digital photographs? In: CHI 2003 (2003)
Anderson, E.W., Potter, K.C., Matzen, L.E., Shepherd, J.F., Preston, G.A., Silva, C.T.: A user study of visualization effectiveness using EEG and cognitive load. In: EuroVis (2011)
Ames, M.G., Manguy, L.: PhotoArcs: ludic tools for sharing photographs. In: MM (2006)
Ekandem, J.I., Davis, T.A., Alvarez, I., James, M.T., Gilbert, J.E.: Evaluating the ergonomics of BCI devices for research and experimentation. Ergonomics 55(5) (2012)
Lee, J.C., Tan, D.S.: Using a low-cost electroencephalograph for task classification in HCI research. In: UIST (2006)
Horikawa, T., Tamaki, M., Miyawaki, Y., Kamitani, Y.: Neural Decoding of Visual Imagery During Sleep. Science (2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Vi, C.T. et al. (2013). D-FLIP: Dynamic and Flexible Interactive PhotoShow. In: Reidsma, D., Katayose, H., Nijholt, A. (eds) Advances in Computer Entertainment. ACE 2013. Lecture Notes in Computer Science, vol 8253. Springer, Cham. https://doi.org/10.1007/978-3-319-03161-3_31
Download citation
DOI: https://doi.org/10.1007/978-3-319-03161-3_31
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03160-6
Online ISBN: 978-3-319-03161-3
eBook Packages: Computer ScienceComputer Science (R0)