Abstract
The Keystroke-Level Model (KLM) is a model for predicting the execution time of routine tasks. Initially, it had been devised for standard keyboard-desktop settings but an extension of this model for interactions with mobile phones has been described by Holleis et al. [10]. We propose a considerable update of this KLM focusing on NFC-based applications and interactions which are continuously gaining interest. Insufficiencies within the previous model regarding operators for Pointing, Mental Acts, and System Response Time are treated. We present the results of several studies conducted in order to update the values of these operators. A specific focus is put on the differences between static (NFC tags behind a printed poster or object) and dynamic interfaces (tagged displays or projections). Finally, we validate our results by modeling two applications with the former and the proposed model. The latter performed consistently better when compared with measurements from real user interaction data.
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Bälter, O.: Keystroke Level Analysis of Email Message Organization. In: Proc. CHI 2000, pp. 105–112 (2000)
Broll, G., Siorpaes, S., Rukzio, E., Paolucci, M., Hamard, J., Wagner, M., Schmidt, A.: Supporting Mobile Service Usage through Physical Mobile Interaction. In: Proc. PerCom 2007, pp. 262–271 (2007)
Broll, G., Graebsch, R., Holleis, P., Wagner, M.: Touch to Play - Mobile Gaming with Dynamic, NFC-based Physical User Interfaces. In: Proc. MobileHCI 2010 (2010)
Broll, G., Hausen, D.: Mobile and Physical User Interfaces for NFC-based Mobile Interaction with Multiple Tags. In: Proc. MobileHCI 2010 (2010)
Card, S.K., Moran, T.P., Newell, A.: The Keystroke-Level Model for User Performance Time with Interactive Systems. Communications of the ACM 23(7), 396–410 (1980)
Card, S.K., Newell, A., Moran, T.P.: The Psychology of Human-Computer Interaction. Lawrence Erlbaum Associates, Inc., Mahwah (1983)
Fitts, P.M.: The Information Capacity of the Human Motor System in Controlling the Amplitude of Movement. Journal of Experimental Psychology 47(6), 381–391 (1954)
Hardy, R., Rukzio, E.: Touch&Interact: Touch-based Interaction of Mobile Phones with Displays. In: Proc. MobileHCI 2008, pp. 245–254 (2008)
Haunold, P., Kuhn, W.: A Keystroke Level Analysis of a Graphics Application: Manual Map Digitizing. In: Proc. CHI 1994, pp. 337–343 (1994)
Holleis, P., Otto, F., Hussmann, H., Schmidt, A.: Keystroke-level Model for Advanced Mobile Phone Interaction. In: Proc. CHI 2007, pp. 1505–1514 (2007)
Holleis, P.: Integrating Usability Models into Pervasive Application Development, PhD Thesis, Ludwig-Maximilians-Universität München, Germany (2009)
John, B.E., Kieras, D.E.: The GOMS Family of Analysis Techniques: Tools for Design and Evaluation. Human-Computer Interaction Institute. Technical Report (1994)
Kieras, D.: Using the Keystroke-Level Model to Estimate Execution Times. The University of Michigan. Technical Report (1993), http://www.pitt.edu/~cmlewis/KSM.pdf
Koester, H.H., Levine, S.P.: Validation of a Keystroke-Level Model for a Text Entry System Used by People with Disabilities. In: Proc. Assets 1994, pp. 115–122 (1994)
Luo, L., Siewiorek, D.P.: KLEM: A Method for Predicting User Interaction Time and System Energy Consumption during Application Design. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L.J.B., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, Springer, Heidelberg (2007)
Manes, D., Green, P., Hunter, D.: Prediction of Destination Entry and Retrieval Times Using Keystroke-Level Models. Technical Report. University of Michigan (2007)
Mori, R., Matsunobe, T., Yamaoka, T.: A Task Operation Prediction Time Computation Based on GOMS-KLM Improved for the Cellular Phone and the Verification of that Validity. In: Proc. ADC 2003 (2003)
Ramírez-González, G., Muñoz-Organero, M., Kloos, C.D., Astaiza, Á.C.: Exploring NFC Interactive Panel. In: Proc. Mobiquitous 2008 (2008)
Reilly, D., Welsman-Dinelle, M., Bate, C., Inkpen, K.: Just Point and Click?: Using Handhelds to Interact with Paper Maps. In: Proc. MobileHCI 2005, pp. 239–242 (2005)
Riekki, J., Salminen, T., Alakärppä, I.: Requesting Pervasive Services by Touching RFID Tags. IEEE Pervasive Computing 5(1), 40–46 (2006)
Rohs, M., Gfeller, B.: Using Camera-Equipped Mobile Phones for Interacting with Real-World Objects. In: Proc. Advances in Pervasive Computing, pp. 265–271 (2004)
Sánchez, I., Riekki, J., Pyykknen, M.: Touch&Control: Interacting with Services by Touching RFID Tags. In: Proc. IWRT 2008 (2008)
Seewoonauth, K., Rukzio, E., Hardy, R., Holleis, P.: Touch&Connect and Touch&Select: Interacting with a Computer by Touching it with a Mobile Phone. In: Proc. MobileHCI 2009, pp. 1–9 (2009)
Vetter, J., Hamard, J., Paolucci, M., Rukzio, E., Schmidt, A.: Physical Mobile Interaction with Dynamic Physical Objects. In: Proc. MobileHCI 2007 (2007)
Want, R.: An Introduction to RFID Technology. IEEE Pervasive Computing 5(1), 25 (2006)
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Holleis, P., Scherr, M., Broll, G. (2011). A Revised Mobile KLM for Interaction with Multiple NFC-Tags. In: Campos, P., Graham, N., Jorge, J., Nunes, N., Palanque, P., Winckler, M. (eds) Human-Computer Interaction – INTERACT 2011. INTERACT 2011. Lecture Notes in Computer Science, vol 6949. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23768-3_18
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DOI: https://doi.org/10.1007/978-3-642-23768-3_18
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