Normative or Confirmative: Effects of Information Quality and Redundancy in Decision Support Systems
研究用户是否倾向于购买与已有信息相关度低的决策支持信息，发现低相关度信息更受欢迎，而高相关度信息会降低绩效，且相关度对信任和绩效的影响取决于系统灵敏度。
Objective The study investigates users’ tendency to access decision support (DS) systems as a function of the correlation between the DS information and the information users already have, the ongoing interaction with such systems, and the effect of correlated information on subjective trust. Background Previous research has shown inconclusive findings regarding whether people prefer information that correlates with information they already have. Some studies conclude that individuals recognize the value of noncorrelated information, given its unique content, while others suggest that users favor correlated information as it aligns with existing evidence. The impact of the level of correlation on performance, subjective trust, and the decision to use DS remains unclear. Method In an experiment ( N = 481), participants made classification decisions based on available information. They could also purchase additional DS with different degrees of correlation with the available information. Results Participants tended to purchase information more often when the DS was not correlated with the available information. Correlated information reduced performance, and the effect of correlation on subjective trust and performance depended on DS sensitivity. Conclusion Additional information may not improve performance when it is correlated with available information (i.e., it is redundant). Hence, the benefits of additional information and DS depend on the information the system and the operator use. Application It is essential to analyze the correlations between information sources and design the available information to allow optimal task performance and possibly minimize redundancy (e.g., by locating sensors in different positions to capture independent data).