An investigation of the effects of decisional guidance and cognitive ability on decision-making involving uncertainty data

Mahoney, Lois S.; Roush, Pamela B.; Bandy, D. Brent

doi:10.1016/s1471-7727(02)00022-2

Cited by 31 publications

(12 citation statements)

References 38 publications

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“…Prior research has found decisional guidance to be an important explanatory variable in understanding decision maker behavior (Silver 1991;Montazemi et al 1996;Wilson and Zigurs 1999;Jiang and Klein 2000;Limayem and Desanctis 2000;Parikh et al 2001;Mahoney et al 2003). Decisional guidance can provide support for decision-makers in differing ways.…”

Section: Message Characteristicsmentioning

confidence: 99%

Persuasive Decision Support: Improving Reliance on Decision Aids

Parkes

2012

PAJAIS

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The primary role of a decision aid is to guide and support a decision maker. As reliance on a decision aid is largely discretionary the persuasiveness of the system becomes critically important. In this paper characteristics thought to affect systems persuasiveness are examined. This paper asserts that the target and source of a decision support message, along with the design of the message itself, act to influence the persuasiveness of the decision support provided. Using a purpose built experimental platform with seventy subjects the research finds that the persuasiveness of a decision support message is varied by the perceived difficulty of the task being undertaken, and the perceived usefulness of the decision support provided. The type of decisional guidance provided also affects persuasiveness of the system; in particular, providing suggestive decisional guidance is shown to significantly improve system persuasiveness. The implications of these findings relate to the appropriate design of decision aids, and the contexts within which a decision aid can be expected to persuade decision makers to reply on the support provided.

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Section: Message Characteristicsmentioning

confidence: 99%

Persuasive Decision Support: Improving Reliance on Decision Aids

Parkes

2012

PAJAIS

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“…In addition to its use in studies of graphs and tables [91], CFT has been used to explain sense making in data-exploration tasks [92], efficient query building [93,94], online shopping [95,96], graphs and information load [97], graphs and uncertainty [98,99], geographical information systems [100][101][102], accounting visualization [88,[103][104][105], spreadsheet usage and error correction [106], expert-data and selforganizing maps [107], maps [108,109], model comprehension [110][111][112], efficient database views [113], visual interactive simulations [114], multi-attribute data presentation [115], software development [116][117][118], hypertext and knowledge type [119], executive support systems [120,121], judgment strategies [122], system acceptance [123], multimedia effectiveness [124], interface design [125], decision aid features [126], pattern recognition [127], virtual reality [128], knowledge transfer [129], decision tables, trees, and rules [130], expertise and online reviews [...…”

Section: Appendix a Uses Of Cognitive Fit Theory In Ismentioning

confidence: 99%

User acceptance of knowledge-based system recommendations: Explanations, arguments, and fit

Giboney

Brown

Lowry

et al. 2015

Decision Support Systems

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“…Mahoney et al (Mahoney, 2003) pointed out that when faced with Complexities in a decision situation, decisional guidance helps users to choose among and interact with a system's capabilities.…”

Section: Contributionmentioning

confidence: 99%

COORDINATION IN MULTI-AGENT DECISION SUPPORT SYSTEM - Application to a Boiler Combustion Management System (GLZ)

Taghezout

Adla

Zaraté

2009

Proceedings of the 11th International Conference on Enterprise Information

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In Multi-agents systems, the cognitive capability present in an agent can be deployed to realize effective problem-solving by the combined effort of the system and the user. It offers the potential to automate a far wider part of the problem solving task than was possible with classical DSS. In this paper, we propose to integrate agents in a group decision support system. The resulting system, MADS is designed to support operators during contingencies. We experiment our system on a case of boiler breakdown to detect a functioning defect of the boiler (GLZ: Gas Liquefying Zone) to diagnose the defect and to suggest one or several appropriate cure actions. In MADS the communication support enhances communication and coordination capabilities of participants. A simple scenario is given, to illustrate the feasibility of the proposal.

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An investigation of the effects of decisional guidance and cognitive ability on decision-making involving uncertainty data

Cited by 31 publications

References 38 publications

Persuasive Decision Support: Improving Reliance on Decision Aids

Persuasive Decision Support: Improving Reliance on Decision Aids

User acceptance of knowledge-based system recommendations: Explanations, arguments, and fit

COORDINATION IN MULTI-AGENT DECISION SUPPORT SYSTEM - Application to a Boiler Combustion Management System (GLZ)

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