Cognitive biases and decision support systems development: a design science approach

By David Arnott. 2006

365 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. David Martens
2. Foster J. Provost
3. William L. Kuechler Jr.
4. Vijay K. Vaishnavi
5. Graham Peter Pervan
6. David Arnott
7. Yongfeng Zhang
8. Sören Preibusch

In Sociology and Political Science

1. William L. Kuechler Jr.
2. Vijay K. Vaishnavi
3. Sören Preibusch
4. Bettina Berendt
5. Graham Peter Pervan
6. David Arnott
7. David Martens
8. Yongfeng Zhang

Citations in the corpus

• Explainable Recommendation: A Survey and New Perspectives (2018, background): “On the other hand, the fact that participants know their being experimented in user study may bring cognitive bias to the results, as a result, a lot of research efforts have been made to reduce the bias in user studies (Arnott, 2006).”
• Better decision support through exploratory discrimination-aware data mining: foundations and empirical evidence (2014, background): “Rather, humans typically employ a number of heuristics, which have been found to lead to typical decision biases (Arnott 2006).”
• A Framework for Theory Development in Design Science Research: Multiple Perspectives (2012, positive): “Arnott (2006) explicitly uses a slightly modified version of the DSRIS development cycle shown in Figure 4, and it is convenient to discuss the paper’s grounding literature with reference to that illustration.”
• The Role of Uncertainty, Awareness, and Trust in Visual Analytics (2016, background): “Arnott [2] lists such statistical biases which highlight the inability to comprehend the practical implications of randomness, base rate, sample size, correlations, regression to the mean and probability in many guises.”
• Eight key issues for the decision support systems discipline (2008, background): “DSS design science research is being published in ‘A’ journals (for example, Markus, Majchrzak and Gasser [52] in a US ‘A’ journal, and Arnott [5] in a European ‘A’ journal).”
• Explaining Data-Driven Document Classifications (2014, background): “Second, they describe the type of explanations that should be provided: they emphasize the need not just for general explanations of the model, but for explanations that are context-specific.”