Group preference modeling for intelligent shared environments: Social welfare beyond the sum

Changsoo Ok, Seokcheon Lee, Soundar Rajan Tirupatikumara

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Ubiquitous computing technology can be effectively utilized in shared environments where groups of people are in close proximity. Shared environments are pervasive in the real world and hence the way of managing such environments will impact on not only quality of life but also business competitiveness. However, making decisions in an intelligent shared environment is never straightforward. The intelligence needs to be capable of choosing its parameters to satisfy all of its inhabitants, who have different preferences and are heterogeneous in their influences on decision. Till today, there has been no thorough research to scientifically investigate this type of decision making problems, though many systems have been already deployed. This research proposes a methodology for making decisions in such circumstances. The current and future works addressed in this paper are also conductive to any human-centric networks such as service systems, since the issues addressed here are also essential constitutes of such human-centric networks.

Original languageEnglish (US)
Pages (from-to)588-598
Number of pages11
JournalInformation Sciences
Volume278
DOIs
StatePublished - Sep 10 2014

Fingerprint

Preference Modelling
Welfare
Decision making
Decision Making
Ubiquitous computing
Quality of Life
Competitiveness
Ubiquitous Computing
Proximity
Social welfare
Preference modelling
Methodology
Industry
Human

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence

Cite this

@article{dcbca605a38d455ab14be15017ed391a,
title = "Group preference modeling for intelligent shared environments: Social welfare beyond the sum",
abstract = "Ubiquitous computing technology can be effectively utilized in shared environments where groups of people are in close proximity. Shared environments are pervasive in the real world and hence the way of managing such environments will impact on not only quality of life but also business competitiveness. However, making decisions in an intelligent shared environment is never straightforward. The intelligence needs to be capable of choosing its parameters to satisfy all of its inhabitants, who have different preferences and are heterogeneous in their influences on decision. Till today, there has been no thorough research to scientifically investigate this type of decision making problems, though many systems have been already deployed. This research proposes a methodology for making decisions in such circumstances. The current and future works addressed in this paper are also conductive to any human-centric networks such as service systems, since the issues addressed here are also essential constitutes of such human-centric networks.",
author = "Changsoo Ok and Seokcheon Lee and Tirupatikumara, {Soundar Rajan}",
year = "2014",
month = "9",
day = "10",
doi = "10.1016/j.ins.2014.03.076",
language = "English (US)",
volume = "278",
pages = "588--598",
journal = "Information Sciences",
issn = "0020-0255",
publisher = "Elsevier Inc.",

}

Group preference modeling for intelligent shared environments : Social welfare beyond the sum. / Ok, Changsoo; Lee, Seokcheon; Tirupatikumara, Soundar Rajan.

In: Information Sciences, Vol. 278, 10.09.2014, p. 588-598.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Group preference modeling for intelligent shared environments

T2 - Social welfare beyond the sum

AU - Ok, Changsoo

AU - Lee, Seokcheon

AU - Tirupatikumara, Soundar Rajan

PY - 2014/9/10

Y1 - 2014/9/10

N2 - Ubiquitous computing technology can be effectively utilized in shared environments where groups of people are in close proximity. Shared environments are pervasive in the real world and hence the way of managing such environments will impact on not only quality of life but also business competitiveness. However, making decisions in an intelligent shared environment is never straightforward. The intelligence needs to be capable of choosing its parameters to satisfy all of its inhabitants, who have different preferences and are heterogeneous in their influences on decision. Till today, there has been no thorough research to scientifically investigate this type of decision making problems, though many systems have been already deployed. This research proposes a methodology for making decisions in such circumstances. The current and future works addressed in this paper are also conductive to any human-centric networks such as service systems, since the issues addressed here are also essential constitutes of such human-centric networks.

AB - Ubiquitous computing technology can be effectively utilized in shared environments where groups of people are in close proximity. Shared environments are pervasive in the real world and hence the way of managing such environments will impact on not only quality of life but also business competitiveness. However, making decisions in an intelligent shared environment is never straightforward. The intelligence needs to be capable of choosing its parameters to satisfy all of its inhabitants, who have different preferences and are heterogeneous in their influences on decision. Till today, there has been no thorough research to scientifically investigate this type of decision making problems, though many systems have been already deployed. This research proposes a methodology for making decisions in such circumstances. The current and future works addressed in this paper are also conductive to any human-centric networks such as service systems, since the issues addressed here are also essential constitutes of such human-centric networks.

UR - http://www.scopus.com/inward/record.url?scp=84901822896&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84901822896&partnerID=8YFLogxK

U2 - 10.1016/j.ins.2014.03.076

DO - 10.1016/j.ins.2014.03.076

M3 - Article

AN - SCOPUS:84901822896

VL - 278

SP - 588

EP - 598

JO - Information Sciences

JF - Information Sciences

SN - 0020-0255

ER -