Next Article in Journal
Trading-Off Machine Learning Algorithms towards Data-Driven Administrative-Socio-Economic Population Health Management
Previous Article in Journal
Performance Optimization of MANET Networks through Routing Protocol Analysis
Previous Article in Special Issue
Cybersecurity in Intelligent Transportation Systems
Open AccessArticle

NADAL: A Neighbor-Aware Deep Learning Approach for Inferring Interpersonal Trust Using Smartphone Data

1
Computer Engineering Department, Umm Al-Qura University, Makkah 24381, Saudi Arabia
2
School of Communication and Information, The State University of New Jersey, New Brunswick, NJ 08901, USA
*
Author to whom correspondence should be addressed.
Received: 29 November 2020 / Revised: 20 December 2020 / Accepted: 21 December 2020 / Published: 24 December 2020
(This article belongs to the Special Issue Smart Computing for Smart Cities (SC2))
Interpersonal trust mediates multiple socio-technical systems and has implications for personal and societal well-being. Consequently, it is crucial to devise novel machine learning methods to infer interpersonal trust automatically using mobile sensor-based behavioral data. Considering that social relationships are often affected by neighboring relationships within the same network, this work proposes using a novel neighbor-aware deep learning architecture (NADAL) to enhance the inference of interpersonal trust scores. Based on analysis of call, SMS, and Bluetooth interaction data from a one-year field study involving 130 participants, we report that: (1) adding information about neighboring relationships improves trust score prediction in both shallow and deep learning approaches; and (2) a custom-designed neighbor-aware deep learning architecture outperforms a baseline feature concatenation based deep learning approach. The results obtained at interpersonal trust prediction are promising and have multiple implications for trust-aware applications in the emerging social internet of things. View Full-Text
Keywords: deep learning; neighbor-aware deep learning; phone data; trust inference deep learning; neighbor-aware deep learning; phone data; trust inference
Show Figures

Figure 1

MDPI and ACS Style

Bati, G.F.; Singh, V.K. NADAL: A Neighbor-Aware Deep Learning Approach for Inferring Interpersonal Trust Using Smartphone Data. Computers 2021, 10, 3. https://0-doi-org.brum.beds.ac.uk/10.3390/computers10010003

AMA Style

Bati GF, Singh VK. NADAL: A Neighbor-Aware Deep Learning Approach for Inferring Interpersonal Trust Using Smartphone Data. Computers. 2021; 10(1):3. https://0-doi-org.brum.beds.ac.uk/10.3390/computers10010003

Chicago/Turabian Style

Bati, Ghassan F.; Singh, Vivek K. 2021. "NADAL: A Neighbor-Aware Deep Learning Approach for Inferring Interpersonal Trust Using Smartphone Data" Computers 10, no. 1: 3. https://0-doi-org.brum.beds.ac.uk/10.3390/computers10010003

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop