| Computing mobile devices,e.g.,smart mobile phones,have been common in our daily life.These devices are essential for communication and information scanning and processing.They are typically with little screens: we need to scroll the windows repeatedly when scanning or processing large block of information;this causes more operation burden,lowers interactive performance,and is hand-fatigue prone.To resolve these problems,we conducted two experiments.In the first experiment,we proposed an adaptive scrolling technique based on the Android system,and quantitatively compared with the traditional scrolling method.The proposed technique determines which part of information(linearly arranged in a window)has been scanned or processed,and then scrolls the information upwards and hides it and loads the following part of information in the window.The results of the first experiment show that the proposed adaptive technique had significantly higher performance over the traditional operation mode: on one hand,information browsing had been accelerated,the time of each target selection was significantly shorter;on the other hand,the number of manual scrolling had been also significantly reduced.The experimental results also show that the operation efficiency was the highest when the coverage area of the adaptive scrolling technique occupied 75% or more of the top area of the mobile phone screen.In the second experiment,6 adaptable scrolling techniques based on tilt input were compared with the two techniques in the first experiment.The results of the second experiment show that the adaptive scrolling technique owned the best interaction performance among all the techniques;the 6 tilt-based adaptable scrolling techniques were defeated concerning target selection time,but they had better learning effects and selection accuracies.The tilt-based techniques imposed more training time on the users since they were completely new to the users and needed manipulating by the users themselves. |
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