摘要
本研究运用单任务的预期式范式和口头估计法,探究速度变化对不同时距长度进度条的时距知觉的影响,为进度条的智能化设计提供参考。研究表明:(1)时距长度影响个体的时距估计,时距长度与时距估计比率分数成反比关系;(2)进度条的不同速度变化趋势影响进度条时距知觉,在持续时间相同的匀速、减速、加速和先加后减四种进度条类型中,加速进度条的时距知觉最短,而匀速进度条时距估计最长。
The prospective paradigm, the verbal estimation method and the single task program are used in this research to explore the impact of change in velocity and length of duration on user duration perception of progress bars. The results are used to suggest several design considerations for intelligent progress bars that can track progress when the operation first starts to mitigate negative progress behaviors. Experiment 1 was conducted with a 2 （ duration ： short duration,long duration ） x 4 （ progress bar type： constant, decreasing, ac- celerating, accelerating in the beginning and decreasing towards the end） within- subjects design. The experiment adjusted the length of duration slightly which changed among 5 adjacent durations. Short duration was about 10s while long duration was about 30s. On the basis of Experiment 1, Experiment 2 chose the duration consistent with previous studies and explored the reason for the discrepancy be- tween our results and those of the previous studies. The dependent variable was the ratio scores of duration judgments and the ratio was obtained from estimated duration divided by physical duration. The results are as follows ： （ 1 ） users tend to underestimate long duration and overestimate short duration under concurrent task condition; （2） significant length effects are documented. The length of duration is in inverse proportion to the ratio scores of duration judgments. The duration judgments ratio scores decrease as the duration length increases ; （3） the main effect of progress bar type is significant. The scores of constant progress bars are the highest and those of accelerating progress bars are the lowest.
出处
《心理科学》
CSSCI
CSCD
北大核心
2014年第2期289-293,共5页
Journal of Psychological Science
基金
江苏省社科基金(BH206901)
江苏省"青蓝工程"(Bu206801)
留学回国启动基金(A5206802)项目的资助
关键词
速度变化
时距长度
人机交互
口头估计
change in velocity, length of duration, human - computer interaction, verbal estimation
