Abstract
We present two studies to comparatively evaluate the performance of gesture-based 2D and 3D pointing tasks. In both of them, a Wiimote controller and a standard mouse were used by six participants. For the 3D experiments we introduce a novel configuration analogous to the ISO 9241-9 standard methodology. We examine the pointing devices’ conformance to Fitts’ law and we measure eight extra parameters that describe more accurately the cursor movement trajectory. For the 2D tasks using Wiimote, Throughput is 41,2% lower than using the mouse, target re-entry is almost the same, and missed clicks count is three times higher. For the 3D tasks using Wiimote, Throughput is 56,1% lower than using the mouse, target re-entry is increased by almost 50%, and missed clicks count is sixteen times higher.
Fitts’ law, 3D pointing, Gesture User Interface, Wiimote
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Hofmann, F.G., Heyer, P., Hommel, G.: Velocity Profile Based Recognition of Dynamic Gestures with Discrete Hidden Markov Models. In: Wachsmuth, I., Fröhlich, M. (eds.) GW 1997. LNCS (LNAI), vol. 1371, pp. 81–95. Springer, Heidelberg (1998)
Mantyjarvi, J., Kela, J., Korpipaa, P., Kallio, S.: Enabling fast and effortless customization in accelerometer based gesture interaction. In: MUM 2004, pp. 25–31. ACM Press (2004)
Mantyjarvi, J., Kela, J., Korpipaa, P., Kallio, S., Savino, G., Jozzo, L., Marca, D.: Accelerometer-based gesture control for a design environment. Personal Ubiquitous Computing 10(5), 285–299 (2006)
Kratz, S., Rohs, M.: A $3 Gesture Recognizer: Simple Gesture Recognition for Devices Equipped with 3D Acceleration Sensors. In: International Conference on Intelligent User Interfaces (IUI 2010), pp. 341–344. ACM Press (2010)
Schlomer, T., Poppinga, B., Henze, N., Boll, S.: Gesture recognition with a Wii controller. In: TEI 2008 - Tangible and Embedded Interaction Conference, pp. 11–14. ACM Press (2008)
Koch, P., Konen, W., Hein, K.: Gesture Recognition on Few Training Data using Slow Feature Analysis and Parametric Bootstrap. In: International Joint Conference on Neural Networks, Barcelona, pp. 1–8 (2010)
Lee, J.C.: Hacking the Nintendo Wii remote. IEEE Pervasive Computing 7(3), 39–45 (2008)
Rehm, M., Bee, N., Andre, E.: Wave Like an Egyptian - Accelerometer Based Gesture Recognition for Culture Specific Interactions. In: HCI 2008: Culture, Creativity, Interaction (2008)
Jones, E., Alexander, J., Andreou, A., Irani, P., Subramanian, S.: GesText: Accelerometer-Based Gestural Text-Entry Systems. In: CHI 2010, Atlanta, Georgia, USA, April 10-15 (2010)
Leong, T., Lai, J., Pong, P., Panza, J., Hong, J.: Wii Want to Write: An Accelerometer Based Gesture Recognition System. In: Intern. Conf. on Recent and Emerging Advanced Technologies in Engineering, Malaysia, pp. 4–7 (2009)
Malmestig, P., Sundberg, S.: SignWiiver - implementation of sign language technology. University of Göteborg (2008), http://www.tricomsolutions.se/documents/SCP-T001.pdf
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); reprinted in Journal of Experimental Psychology: General 121(3), 262–269 (1992)
Murata, A., Iwase, H.: Extending Fitts’ law to a three-dimensional pointing task. Human Movement Science 20, 791–805 (2001)
Chen, R., Wu, F.-G., Chen, K.: Extension of Fitts’ Law for the design of the gesture pointing interaction. In: 3th World Conference on Design Research - IASDR 2009, Korea, pp. 4611–4620 (2009)
Foehrenbach, S., König, W., Gerken, J., Reiterer, H.: Natural Interaction with Hand Gestures and Tactile Feedback for large, high-res Displays. In: MITH 2008: Workshop on Multimodal Interaction Through Haptic Feedback, Napoli, Italy (2008)
Fikkert, W., van der Vet, P., Nijholt, A.: Hand-held device evaluation in gesture interfaces. In: 8th International Gesture Workshop - GW 2009 (2009)
McArthur, V., Castellucci, S.J., MacKenzie, I.S.: An empirical comparison of “Wiimote” gun attachments for pointing tasks. In: ACM SIGCHI Symposium on Engineering Interactive Computing Systems – EICS 2009, pp. 203–209. ACM, New York (2009)
MacKenzie, I.S.: Movement time prediction in human-computer interfaces. In: Baecker, R.M., Buxton, W.A.S., Grudin, J., Greenberg, S. (eds.) Readings in Human-Computer Interaction, 2nd edn., pp. 483–493. Kaufmann, San Francisco (1995)
ISO: Ergonomic requirements for office work with visual display terminals (vdts)-part 9: Req. for non-keyboard input devices. Technical Report 9241-9 (2000)
Soukoreff, W., MacKenzie, S.: Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts’ law research in HCI. International Journal of Human-Computer Studies 61(6), 751–789 (2004)
MacKenzie, I.S., Kauppinen, T., Silfverberg, M.: Accuracy measures for evaluating computer pointing devices. In: ACM Conference on Human Factors in Computing Systems – CHI 2001, pp. 9–16. ACM, New York (2001)
Fitts, P.M., Peterson, J.R.: Information capacity of discrete motor responses. J. Exp. Psychology 67, 103–112 (1964)
Pino, A., Kalogeros, E., Salemis, I., Kouroupetroglou, G.: Brain Computer Interface Cursor Measures for Motion-impaired and Able-bodied Users. In: 10th International Conference on Human-Computer Interaction, vol. 4, pp. 1462–1466. Lawrence Erlbaum Associates, Inc., Mahwah (2003)
The LabVIEW Environment, http://www.ni.com/labview/
Kiefer, C., Collins, N., Fitzpatrick, G.: Evaluating the Wiimote as a Musical Controller. In: International Computer Music Conference - ICMC 2008 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kouroupetroglou, G. et al. (2012). Using Wiimote for 2D and 3D Pointing Tasks: Gesture Performance Evaluation. In: Efthimiou, E., Kouroupetroglou, G., Fotinea, SE. (eds) Gesture and Sign Language in Human-Computer Interaction and Embodied Communication. GW 2011. Lecture Notes in Computer Science(), vol 7206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34182-3_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-34182-3_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34181-6
Online ISBN: 978-3-642-34182-3
eBook Packages: Computer ScienceComputer Science (R0)