Year: 2003
Type: article
Abstract: This research explores how user and interface characteristics can interact to influence decision performance. Specifically, this research examines the effects of gender, personality similarity, and increased levels of information cues on user involvement with a computer-based decision aid. In addition, this research explores the downstream effects of user involvement on decision time, effort, satisfaction, confidence, and quality. Findings indicate that gender has a significant influence on user involvement, and that involvement and the level of information cues provided by the decision aid have a direct influence on decision performance.
Authors: Traci J. Hess, Mark A. Fuller, John Mathew
Language: English
Subfield: General Decision Sciences
Field: Decision Sciences
Domain: Social Sciences
SDG: Gender equality
Open Access status: green
OpenAlex ID: W1574552817