@inproceedings{3f6e5ca08c764fbab3a55cd1c05d737a,
title = "Are you altruistic? Your mobile phone could tell",
abstract = "Altruism i.e. an act that one does at her own expense that tends to enhance others well-being is a fundamental human behavior with implications for personal and societal welfare. As a result, understanding altruism is an important building block in designing well-functioning socio-Technical systems and attaining the Internet of People vision. Traditional methods for understanding individual's altruistic propensities have been surveys and lab experiments. This paper proposes a new methodology to model altruism based on phoneotypes (mobile phones observations of a combination of people's traits) that ultimately aim to replace traditional methods like surveys with a low-cost, quick, automated method. The data in this paper were gathered from a 10-week field study involving 55 participants. We find that: (1) many phone-based features are potentially related to participant's altruistic propensities; (2) phone-based features and demographics when combined created a prediction model with promising results capable of predicting altruism in a better way than a demography-based model. This study provides an exciting opportunity to advance our knowledge in identifying altruism in numerous settings socially and commercially.",
keywords = "Altruism, Behavioral Sensing, Mobile Sensing, Mobile Supported Altruism, Phoneotype",
author = "Bati, {Ghassan F.} and Singh, {Vivek K.}",
note = "Funding Information: G.B. wants to thank Umm Al-Qura University, Makkah, Saudi Arabia, for partially sponsoring this work and providing the fellowship to pursue his graduate studies at Rutgers, The State University of New Jersey. Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 ; Conference date: 04-04-2017 Through 08-04-2017",
year = "2018",
month = jun,
day = "26",
doi = "10.1109/UIC-ATC.2017.8397659",
language = "English (US)",
series = "2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
booktitle = "2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings",
address = "United States",
}