Figure 3.
The diagram presents a model of how different live streaming features, such as information complexity, time pressure, visibility, interactivity, and synchronicity, influence information overload. Each feature is connected to information overload with specific coefficients: information complexity shows a value of zero point one eight seven, time pressure at zero point zero nine, visibility at zero point two two two, interactivity at zero point one one nine, and synchronicity is not quantified. Information overload itself influences fatigue with a coefficient of zero point two nine five, while fatigue impacts the intention to discontinue, denoted by zero point one two one. Control variables, including gender, age, and time spent on live streaming content, are listed at the bottom, with a negative coefficient for the relationship between fatigue and demographic factors. The model's explanatory values (R squared) demonstrate variance for each grouping, such as 22.9 percent for information overload and 34.7 percent for the intention to discontinue.Research model results. *: p < 0.05 **: p < 0.01, ***: p < 0.001