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Research paper | Open Access

Behavioral data assists decisions: exploring the mental representation of digital-self

Yixin Zhang1, Lizhen Cui2( ), Wei He2, Xudong Lu2, Shipeng Wang1
School of Software, Shandong University, Jinan, China
School of Software, Shandong University, Jinan, China and Joint SDU-NTU Centre for Artificial Intelligence Research C-FAIR, Jinan, China
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Abstract

Purpose

The behavioral decision-making of digital-self is one of the important research contents of the network of crowd intelligence. The factors and mechanisms that affect decision-making have attracted the attention of many researchers. Among the factors that influence decision-making, the mind of digital-self plays an important role. Exploring the influence mechanism of digital-selfs’ mind on decision-making is helpful to understand the behaviors of the crowd intelligence network and improve the transaction efficiency in the network of CrowdIntell.

Design/methodology/approach

In this paper, the authors use behavioral pattern perception layer, multi-aspect perception layer and memory network enhancement layer to adaptively explore the mind of a digital-self and generate the mental representation of a digital-self from three aspects including external behavior, multi-aspect factors of the mind and memory units. The authors use the mental representations to assist behavioral decision-making.

Findings

The evaluation in real-world open data sets shows that the proposed method can model the mind and verify the influence of the mind on the behavioral decisions, and its performance is better than the universal baseline methods for modeling user interest.

Originality/value

In general, the authors use the behaviors of the digital-self to mine and explore its mind, which is used to assist the digital-self to make decisions and promote the transaction in the network of CrowdIntell. This work is one of the early attempts, which uses neural networks to model the mental representation of digital-self.

Keywords

Mental representationCrowd behavior analysisBehavioral decisionsCrowdIntell network

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International Journal of Crowd Science
Volume 5 Issue 2,
August 2021
Pages 185-203
DOI: 10.1108/IJCS-03-2021-0011
Cite this article:
Zhang Y, Cui L, He W, et al. Behavioral data assists decisions: exploring the mental representation of digital-self. International Journal of Crowd Science, 2021, 5(2): 185-203. https://doi.org/10.1108/IJCS-03-2021-0011

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Received: 04 March 2021
Revised: 15 April 2021
Accepted: 19 April 2021
Published: 26 July 2021
© The author(s)

Yixin Zhang, Lizhen Cui, Wei He, Xudong Lu and Shipeng Wang. Published in International Journal of Crowd Science. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode
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