100,000,000 Taps: Analysis and Improvement of Touch Performance in the Large
•
0 recomendaciones•695 vistas
Touchscreens became the dominant input device for smartphones. Users' touch behaviour has been widely studied in lab studies with a relative low number of participants. In contrast, we published a game in the Android Market that records the touch behaviour when executing a controlled task to collect large amounts of touch events. Players' task is to simply touch circles appearing on the screen. Data from 91,731 installations has been collected and players produced 120,626,225 touch events. We determined the error rates for different target sizes and screen locations. The amount of data enabled us to show that touch positions are systematically skewed. A compensation function that shifts the users' touches to reduce the amount of errors is derived from the data and evaluated by publishing an update of the game. The independent-measures experiment with data from 12,201 installations and 15,326,444 touch events shows that the function reduces the error rate by 7.79%. We argue that such a compensation function could improve the touch performance of virtually every smartphone user.
Recomendados
Más contenido relacionado
Último
Último (20)
Destacado
Destacado (20)
100,000,000 Taps: Analysis and Improvement of Touch Performance in the Large
- 1. 100,000,000 Taps Analysis and Improvement of Touch Performance in the Large Niels Henze University of Oldenburg Enrico Rukzio University of Duisburg-‐Essen Susanne Boll University of Oldenburg
- 2. Touch me How can it be Believe me The sun always shines on my screen
- 3. but sJll... we cannot see what we touch fingers are bigger than the elements we touch
- 4. Work about mobile touchscreens? special interacJon techniques
- 5. Work about mobile touchscreens? special interacJon techniques performance for different target sizes and posiJons Y. S. Park, S. H. Han, J. Park, Y. Cho: Touch key design for target selecJon on a mobile phone. Proc. MobileHCI, 2008.
- 6. Work about mobile touchscreens? special interacJon techniques performance for different target sizes and posiJons taps might be systemaJcally skewed Y. S. Park, S. H. Han, J. Park, Y. Cho: Touch key design for target selecJon on a mobile phone. Proc. MobileHCI, 2008.
- 7. Degrees of freedom different sizes
- 8. Degrees of freedom different sizes different posiJons
- 9. Degrees of freedom different sizes different posiJons different devices
- 10. Degrees of freedom different sizes different posiJons different devices …
- 11. Large amount of touch data game published on the Android Market
- 12. Large amount of touch data game published on the Android Market we inform the player about the study
- 13. Large amount of touch data game published on the Android Market we inform the player about the study just looks like an ordinary game
- 14. Large amount of touch data game published on the Android Market we inform the player about the study just looks like an ordinary game parJcipants get some introducJon
- 15. Large amount of touch data game published on the Android Market we inform the player about the study just looks like an ordinary game parJcipants get some introducJon
- 16. Large amount of touch data game published on the Android Market we inform the player about the study just looks like an ordinary game parJcipants get some introducJon they tap the targets
- 17. Large amount of touch data game published on the Android Market we inform the player about the study just looks like an ordinary game parJcipants get some introducJon they tap the targets we vary targets’ size and posiJon
- 18. We collected data from 91,731 installaJons
- 20. We collected data from 91,731 installaJons > 50 different devices 120,626,225 touch events
- 21. Using the data we determined the error rate for different sizes
- 22. Using the data we determined the error rate for different sizes error rate and the error rate for different posiJons HTC Wildfire
- 24. SystemaJc skew found that taps are systemaJcally skewed determined offsets for each screen posiJon Samsung Galaxy S
- 25. SystemaJc skew found that taps are systemaJcally skewed determined offsets for each screen posiJon derived how to shid taps to decrease error rate devices with 480x800 pixels resoluJon
- 26. SystemaJc skew found that taps are systemaJcally skewed determined offsets for each screen posiJon derived how to shid taps to decrease error rate approximate a smooth shid funcJon devices with 480x800 pixels resoluJon
- 27. Experimental validaJon implemented shid funcJon for 4 resoluJons control condiJon experimental condiJon
- 28. Experimental validaJon implemented shid funcJon for 4 resoluJons published an update of the game control condiJon experimental condiJon
- 29. Experimental validaJon implemented shid funcJon for 4 resoluJons published an update of the game randomly assigned players to a condiJon control condiJon experimental condiJon nc=6062 ne=6139
- 30. Shid funcJon decreases the error rate
- 31. Shid funcJon decreases the error rate increases the precision
- 32. Shid funcJon decreases the error rate increases the precision for all considered resoluJons
- 33. Summary LimitaJons interacJve task know ligle about the players implemented in a game experimental manipulaJon touch data from 91,731 only has a small effect installaJons unlikely that the funcJon determined error rates works for other tasks and systemaJc skew derived shid funcJon validated in a controlled experiment
- 34. 100,000,000 Taps Analysis and ContribuJon Improvement of Touch Performance “App Store study” to build a in the Large model for an interacJve task public between-‐groups Niels Henze experiment for the task niels.henze@uni-‐oldenburg.de compensaJon funcJon for University of Oldenburg touches beyond specific Enrico Rukzio devices, users, and contexts enrico.rukzio@uni-‐due.de University of Duisburg-‐Essen Susanne Boll Interested in the data? hgp:// susanne.boll@uni-‐oldenburg.de nhenze.net/?page_id=673 University of Oldenburg