基于网络的决策支持系统中情绪态度对人类决策的中介作用

R. Khosla, Chris Lai
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引用次数: 1

摘要

情绪构成了人类行为和决策的重要组成部分,因此是基于网络的上下文感知决策支持系统的重要组成部分。本文提出了一个基于语义、情感和情景反馈的基于上下文感知的基于web的决策支持系统的概念模型。该模型在基于网络的行为分析和销售人员招聘领域的应用。在这个应用程序中,销售候选人对来自电子销售招聘和基准测试系统(e-SRBS)的行为问题的认知反应与他们的实时情绪或情感反应相协调,以促进电子招聘应用程序中的上下文感知决策支持。报告的工作不仅对电子招聘有影响,而且对知识管理、数据挖掘、网络个性化和上下文感知的基于网络的决策支持系统也有影响
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mediating Human Decision Making with Emotional Attitudes in Web Based Decision Support Systems
Emotions form an important component of human behaviour and decision making and thus are an essential part of context-aware Web-based decision support systems. In this paper a conceptual model based on sensemaking, affective and situational feedback is outlined for design of context-aware Web-based decision support systems. An application of the model is illustrated in the area of Web-based behaviour profiling and recruitment of salespeople. In this application cognitive responses of a sales candidate to behavioural questions from a e-sales recruitment and benchmarking system (e-SRBS) are mediated with their real-time emotional or affective responses to facilitate context-aware decision support in e-recruitment applications. The work reported has implications in not only e-recruitment but also in knowledge management, data mining, Web personalisation and context-aware Web-based decision support systems in general
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