Smartphone Behavior Based Electronical Scale Validity Assessment Framework

Minqiang Yang; Jingsheng Tang; Longzhe Tang; Bin Hu

doi:10.1007/978-3-030-36204-1_35

Smartphone Behavior Based Electronical Scale Validity Assessment Framework

Minqiang Yang, Jingsheng Tang, Longzhe Tang, Bin Hu^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In the study, we developed a smartphone-based electronical scale validity assessment framework. 374 college students are recruited to fill in Beck Depression Inventory. A total of 544 filling of scales are collected, which may be filled accordingly or concealed. Via an electronical scale based WeChat applet and backend application, temporal and spatial behavioral data of subjects during the scale-filling process are collected. We established an assessment model of the validity of the scale-filling based on the behavior data with machine learning approaches. The result shows that smartphone behavior has significant features in the dimension of time and space under different motivations. The framework achieves an valuable assessment of the effectiveness of the scale, whose key indicators such as accuracy, sensitivity and precision are over 80% under multiple dimension behavior data classification. The framework has a good application prospect in the field of psychological screening.

Original language	English
Title of host publication	Intelligence Science and Big Data Engineering. Big Data and Machine Learning - 9th International Conference, IScIDE 2019, Proceedings, Part 2
Editors	Zhen Cui, Jinshan Pan, Shanshan Zhang, Liang Xiao, Jian Yang
Publisher	Springer
Pages	418-429
Number of pages	12
ISBN (Print)	9783030362034
DOIs	https://doi.org/10.1007/978-3-030-36204-1_35
Publication status	Published - 2019
Externally published	Yes
Event	9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019 - Nanjing, China Duration: 17 Oct 2019 → 20 Oct 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11936 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019
Country/Territory	China
City	Nanjing
Period	17/10/19 → 20/10/19

Keywords

Behavior data
Smartphone
Validity assessment
WeChat applet

Access to Document

10.1007/978-3-030-36204-1_35

Cite this

Yang, M., Tang, J., Tang, L., & Hu, B. (2019). Smartphone Behavior Based Electronical Scale Validity Assessment Framework. In Z. Cui, J. Pan, S. Zhang, L. Xiao, & J. Yang (Eds.), Intelligence Science and Big Data Engineering. Big Data and Machine Learning - 9th International Conference, IScIDE 2019, Proceedings, Part 2 (pp. 418-429). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11936 LNCS). Springer. https://doi.org/10.1007/978-3-030-36204-1_35

Yang, Minqiang ; Tang, Jingsheng ; Tang, Longzhe et al. / Smartphone Behavior Based Electronical Scale Validity Assessment Framework. Intelligence Science and Big Data Engineering. Big Data and Machine Learning - 9th International Conference, IScIDE 2019, Proceedings, Part 2. editor / Zhen Cui ; Jinshan Pan ; Shanshan Zhang ; Liang Xiao ; Jian Yang. Springer, 2019. pp. 418-429 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{6f42c8e74a0a41778e8ad226ccda110f,

title = "Smartphone Behavior Based Electronical Scale Validity Assessment Framework",

abstract = "In the study, we developed a smartphone-based electronical scale validity assessment framework. 374 college students are recruited to fill in Beck Depression Inventory. A total of 544 filling of scales are collected, which may be filled accordingly or concealed. Via an electronical scale based WeChat applet and backend application, temporal and spatial behavioral data of subjects during the scale-filling process are collected. We established an assessment model of the validity of the scale-filling based on the behavior data with machine learning approaches. The result shows that smartphone behavior has significant features in the dimension of time and space under different motivations. The framework achieves an valuable assessment of the effectiveness of the scale, whose key indicators such as accuracy, sensitivity and precision are over 80% under multiple dimension behavior data classification. The framework has a good application prospect in the field of psychological screening.",

keywords = "Behavior data, Smartphone, Validity assessment, WeChat applet",

author = "Minqiang Yang and Jingsheng Tang and Longzhe Tang and Bin Hu",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019 ; Conference date: 17-10-2019 Through 20-10-2019",

year = "2019",

doi = "10.1007/978-3-030-36204-1_35",

language = "English",

isbn = "9783030362034",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "418--429",

editor = "Zhen Cui and Jinshan Pan and Shanshan Zhang and Liang Xiao and Jian Yang",

booktitle = "Intelligence Science and Big Data Engineering. Big Data and Machine Learning - 9th International Conference, IScIDE 2019, Proceedings, Part 2",

address = "Germany",

}

Yang, M, Tang, J, Tang, L & Hu, B 2019, Smartphone Behavior Based Electronical Scale Validity Assessment Framework. in Z Cui, J Pan, S Zhang, L Xiao & J Yang (eds), Intelligence Science and Big Data Engineering. Big Data and Machine Learning - 9th International Conference, IScIDE 2019, Proceedings, Part 2. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11936 LNCS, Springer, pp. 418-429, 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, Nanjing, China, 17/10/19. https://doi.org/10.1007/978-3-030-36204-1_35

Smartphone Behavior Based Electronical Scale Validity Assessment Framework. / Yang, Minqiang; Tang, Jingsheng; Tang, Longzhe et al.
Intelligence Science and Big Data Engineering. Big Data and Machine Learning - 9th International Conference, IScIDE 2019, Proceedings, Part 2. ed. / Zhen Cui; Jinshan Pan; Shanshan Zhang; Liang Xiao; Jian Yang. Springer, 2019. p. 418-429 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11936 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Smartphone Behavior Based Electronical Scale Validity Assessment Framework

AU - Yang, Minqiang

AU - Tang, Jingsheng

AU - Tang, Longzhe

AU - Hu, Bin

PY - 2019

Y1 - 2019

N2 - In the study, we developed a smartphone-based electronical scale validity assessment framework. 374 college students are recruited to fill in Beck Depression Inventory. A total of 544 filling of scales are collected, which may be filled accordingly or concealed. Via an electronical scale based WeChat applet and backend application, temporal and spatial behavioral data of subjects during the scale-filling process are collected. We established an assessment model of the validity of the scale-filling based on the behavior data with machine learning approaches. The result shows that smartphone behavior has significant features in the dimension of time and space under different motivations. The framework achieves an valuable assessment of the effectiveness of the scale, whose key indicators such as accuracy, sensitivity and precision are over 80% under multiple dimension behavior data classification. The framework has a good application prospect in the field of psychological screening.

AB - In the study, we developed a smartphone-based electronical scale validity assessment framework. 374 college students are recruited to fill in Beck Depression Inventory. A total of 544 filling of scales are collected, which may be filled accordingly or concealed. Via an electronical scale based WeChat applet and backend application, temporal and spatial behavioral data of subjects during the scale-filling process are collected. We established an assessment model of the validity of the scale-filling based on the behavior data with machine learning approaches. The result shows that smartphone behavior has significant features in the dimension of time and space under different motivations. The framework achieves an valuable assessment of the effectiveness of the scale, whose key indicators such as accuracy, sensitivity and precision are over 80% under multiple dimension behavior data classification. The framework has a good application prospect in the field of psychological screening.

KW - Behavior data

KW - Smartphone

KW - Validity assessment

KW - WeChat applet

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U2 - 10.1007/978-3-030-36204-1_35

DO - 10.1007/978-3-030-36204-1_35

M3 - Conference contribution

AN - SCOPUS:85076882576

SN - 9783030362034

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 418

EP - 429

BT - Intelligence Science and Big Data Engineering. Big Data and Machine Learning - 9th International Conference, IScIDE 2019, Proceedings, Part 2

A2 - Cui, Zhen

A2 - Pan, Jinshan

A2 - Zhang, Shanshan

A2 - Xiao, Liang

A2 - Yang, Jian

PB - Springer

T2 - 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019

Y2 - 17 October 2019 through 20 October 2019

ER -

Yang M, Tang J, Tang L, Hu B. Smartphone Behavior Based Electronical Scale Validity Assessment Framework. In Cui Z, Pan J, Zhang S, Xiao L, Yang J, editors, Intelligence Science and Big Data Engineering. Big Data and Machine Learning - 9th International Conference, IScIDE 2019, Proceedings, Part 2. Springer. 2019. p. 418-429. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-36204-1_35

Smartphone Behavior Based Electronical Scale Validity Assessment Framework

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