The Impact of Cognitive Biases on User Decision Making in Human-Computer Interaction: A Review of the Literature
Year: 2021
Type: article
Abstract: Human-Computer Interaction (HCI) is an interdisciplinary subject that studies the interaction between humans and computers.Cognitive biases are systematic errors in human reasoning and decision-making which is suggested to affect interactions of users with computers.This study aims to contribute to the bridge the gap in the literature by addressing the impact of cognitive biases on user decision-making in HCI and discuss the practical applications of the currently literature.Accordingly, a literature search was conducted using electronic academic databases.The reviewed papers were mainly focused to articles published in the last 10 years (2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013) to ensure the relevance of the literature to current research questions.Our research revealed four factors (the quantity of available and accessible information, the lack of meaning associated with the information, the need for quick action, and what information is remembered or recalled) that can trigger cognitive biases and how they can further impact decision making processes of users through common biases.An explored two common strategies (user research and digital nudging) for designing interfaces that minimize negative effects of cognitive reductions.Our findings provide a valuable contribution to the literature and aimed to lead a better user experiences and greater user satisfaction with technology.
Authors: Irmak SAYGI, Birol SAYGI
Language: English
Subfield: General Decision Sciences
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4390898477