2007
DOI: 10.1016/j.ijhcs.2007.04.001
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How do people tap when walking? An empirical investigation of nomadic data entry

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Cited by 99 publications
(65 citation statements)
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References 15 publications
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“…Consequently, this may have had an undesired effect on targeting performance when carrying the different types of objects since the indoor environment is much calmer than a real world setting therefore making the context less challenging for the user. However, Lin et al [7] suggested using an artificial route with obstacles to increase the user's cognitive workload to a level similar to walking in outdoor settings.…”
Section: The Effects Of Mobilitymentioning
confidence: 99%
“…Consequently, this may have had an undesired effect on targeting performance when carrying the different types of objects since the indoor environment is much calmer than a real world setting therefore making the context less challenging for the user. However, Lin et al [7] suggested using an artificial route with obstacles to increase the user's cognitive workload to a level similar to walking in outdoor settings.…”
Section: The Effects Of Mobilitymentioning
confidence: 99%
“…Research has been conducted on, for example, the impact that various mobility situations have on stylus-based tapping performance in PDAs (Lin et al 2007); on the effects that changes in motion, lighting and task type have on mobile-device users' performance and workload (Barnard et al 2007); and on the relationship between walking speed and text-input performance (Mizobuchi et al 2005). In particular, scholars have shown that walking affects interaction with mobile devices and have proposed systems for improving text entry on touchscreens while users are walking (e.g.…”
Section: Further Research Workmentioning
confidence: 99%
“…The focus of many studies has been on SIID as a singular concept, and designing technology that improves performance by attempting to diminish the effects of SIID (Zhu, Ma, Feng, & Sears, 2009), (Lin, Goldman, Price, Sears, & Jacko, 2007;Goel, Findlater, & Wobbrock, 2012). Examples include Lin, et al, who showed that, while attempting data input onto a PDA with a stylus and walking through an obstacle course, participants reduced their walking speed by 36% and increased their error rate compared to walking on a treadmill (Lin, Goldman, Price, Sears, & Jacko, 2007).…”
Section: Key Points Of the Literature Reviewmentioning
confidence: 99%