Ben Yaakov Yoav, Denisova Maja, Mulugeta Filmona, Meyer Joachim
Tel Aviv University, Israel.
Berlin Institute of Technology, Germany.
Hum Factors. 2025 Jun;67(6):546-559. doi: 10.1177/00187208241302787. Epub 2024 Nov 27.
ObjectiveThe 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.BackgroundPrevious 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.MethodIn an experiment ( = 481), participants made classification decisions based on available information. They could also purchase additional DS with different degrees of correlation with the available information.ResultsParticipants 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.ConclusionAdditional 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.ApplicationIt 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).
目的
本研究调查用户访问决策支持(DS)系统的倾向,该倾向是DS信息与用户已有信息之间的相关性、与此类系统的持续交互以及相关信息对主观信任的影响的函数。
背景
先前的研究对于人们是否更喜欢与他们已有信息相关的信息尚无定论。一些研究得出结论,鉴于其独特的内容,个体认识到不相关信息的价值,而另一些研究则表明用户青睐相关信息,因为它与现有证据相符。相关性水平对绩效、主观信任以及使用DS的决策的影响仍不明确。
方法
在一项实验(n = 481)中,参与者根据可用信息做出分类决策。他们还可以购买与可用信息具有不同程度相关性的额外DS。
结果
当DS与可用信息不相关时,参与者更倾向于购买信息。相关信息降低了绩效,并且相关性对主观信任和绩效的影响取决于DS的敏感性。
结论
当额外信息与可用信息相关(即冗余)时,它可能不会提高绩效。因此,额外信息和DS的益处取决于系统和操作员使用的信息。
应用
分析信息源之间的相关性并设计可用信息以实现最佳任务绩效并可能最小化冗余(例如,通过将传感器放置在不同位置以捕获独立数据)至关重要。