Modeling the Changing of the Individual Satisfaction in a Group Context

A Study on Two Sized Groups

Francesco Barile*, Judith Masthoff, Silvia Rossi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

General approaches for Group Recommendation Systems start from the individual recommendations and merge them in a way to determine the best choice for the whole group. The results presented in the literature showed that traditional aggregation techniques do not seem to capture all the features of real-world scenarios. Furthermore, recent studies in Behavioral Economics evidence the necessity to define utility models that are not compatible with the self-interested utility-maximizing behavior of the traditional economic paradigm. In this work, starting from Other-Regarding Preference models that characterize the utility of an individual considering his/her own behavioral characteristics and the utility of another individual, we aim at obtaining a general model where such characteristics are described in terms of interpersonal relationships, such as, tie strength and conflict. We started by performing an analysis on opinion shifts based on a two sized groups user study, with the aim to empirically determine the extent of the considered parameters on a possible model. The results show that the opinion shifting on the evaluation of an activity to be performed in a group is related to the two considered factors.

Original languageEnglish
Title of host publicationAI*IA 2018 – Advances in Artificial Intelligence - 17th International Conference of the Italian Association for Artificial Intelligence, Proceedings
PublisherSpringer Verlag
Pages489-501
Number of pages13
ISBN (Print)9783030038397
DOIs
Publication statusPublished - 1 Jan 2018
Event17th Conference of the Italian Association for Artificial Intelligence, AI*IA 2018 - Trento, Italy
Duration: 20 Nov 201823 Nov 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11298 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th Conference of the Italian Association for Artificial Intelligence, AI*IA 2018
CountryItaly
CityTrento
Period20/11/1823/11/18

Fingerprint

Modeling
Economics
Recommendation System
User Studies
Recommender systems
Tie
Model
Recommendations
Aggregation
Agglomeration
Paradigm
Scenarios
Context
Evaluation
Conflict
Necessity
Relationships
Evidence

Keywords

  • Group Recommendation Systems
  • Other Regarding Preferences
  • Social dynamics

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Barile, F., Masthoff, J., & Rossi, S. (2018). Modeling the Changing of the Individual Satisfaction in a Group Context: A Study on Two Sized Groups. In AI*IA 2018 – Advances in Artificial Intelligence - 17th International Conference of the Italian Association for Artificial Intelligence, Proceedings (pp. 489-501). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11298 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-03840-3_36

Modeling the Changing of the Individual Satisfaction in a Group Context : A Study on Two Sized Groups. / Barile, Francesco; Masthoff, Judith; Rossi, Silvia.

AI*IA 2018 – Advances in Artificial Intelligence - 17th International Conference of the Italian Association for Artificial Intelligence, Proceedings. Springer Verlag, 2018. p. 489-501 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11298 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Barile, F, Masthoff, J & Rossi, S 2018, Modeling the Changing of the Individual Satisfaction in a Group Context: A Study on Two Sized Groups. in AI*IA 2018 – Advances in Artificial Intelligence - 17th International Conference of the Italian Association for Artificial Intelligence, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11298 LNAI, Springer Verlag, pp. 489-501, 17th Conference of the Italian Association for Artificial Intelligence, AI*IA 2018, Trento, Italy, 20/11/18. https://doi.org/10.1007/978-3-030-03840-3_36
Barile F, Masthoff J, Rossi S. Modeling the Changing of the Individual Satisfaction in a Group Context: A Study on Two Sized Groups. In AI*IA 2018 – Advances in Artificial Intelligence - 17th International Conference of the Italian Association for Artificial Intelligence, Proceedings. Springer Verlag. 2018. p. 489-501. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-03840-3_36
Barile, Francesco ; Masthoff, Judith ; Rossi, Silvia. / Modeling the Changing of the Individual Satisfaction in a Group Context : A Study on Two Sized Groups. AI*IA 2018 – Advances in Artificial Intelligence - 17th International Conference of the Italian Association for Artificial Intelligence, Proceedings. Springer Verlag, 2018. pp. 489-501 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{26296bbe7ea54e5cb5168bca355b6e55,
title = "Modeling the Changing of the Individual Satisfaction in a Group Context: A Study on Two Sized Groups",
abstract = "General approaches for Group Recommendation Systems start from the individual recommendations and merge them in a way to determine the best choice for the whole group. The results presented in the literature showed that traditional aggregation techniques do not seem to capture all the features of real-world scenarios. Furthermore, recent studies in Behavioral Economics evidence the necessity to define utility models that are not compatible with the self-interested utility-maximizing behavior of the traditional economic paradigm. In this work, starting from Other-Regarding Preference models that characterize the utility of an individual considering his/her own behavioral characteristics and the utility of another individual, we aim at obtaining a general model where such characteristics are described in terms of interpersonal relationships, such as, tie strength and conflict. We started by performing an analysis on opinion shifts based on a two sized groups user study, with the aim to empirically determine the extent of the considered parameters on a possible model. The results show that the opinion shifting on the evaluation of an activity to be performed in a group is related to the two considered factors.",
keywords = "Group Recommendation Systems, Other Regarding Preferences, Social dynamics",
author = "Francesco Barile and Judith Masthoff and Silvia Rossi",
year = "2018",
month = "1",
day = "1",
doi = "10.1007/978-3-030-03840-3_36",
language = "English",
isbn = "9783030038397",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "489--501",
booktitle = "AI*IA 2018 – Advances in Artificial Intelligence - 17th International Conference of the Italian Association for Artificial Intelligence, Proceedings",
address = "Germany",

}

TY - GEN

T1 - Modeling the Changing of the Individual Satisfaction in a Group Context

T2 - A Study on Two Sized Groups

AU - Barile, Francesco

AU - Masthoff, Judith

AU - Rossi, Silvia

PY - 2018/1/1

Y1 - 2018/1/1

N2 - General approaches for Group Recommendation Systems start from the individual recommendations and merge them in a way to determine the best choice for the whole group. The results presented in the literature showed that traditional aggregation techniques do not seem to capture all the features of real-world scenarios. Furthermore, recent studies in Behavioral Economics evidence the necessity to define utility models that are not compatible with the self-interested utility-maximizing behavior of the traditional economic paradigm. In this work, starting from Other-Regarding Preference models that characterize the utility of an individual considering his/her own behavioral characteristics and the utility of another individual, we aim at obtaining a general model where such characteristics are described in terms of interpersonal relationships, such as, tie strength and conflict. We started by performing an analysis on opinion shifts based on a two sized groups user study, with the aim to empirically determine the extent of the considered parameters on a possible model. The results show that the opinion shifting on the evaluation of an activity to be performed in a group is related to the two considered factors.

AB - General approaches for Group Recommendation Systems start from the individual recommendations and merge them in a way to determine the best choice for the whole group. The results presented in the literature showed that traditional aggregation techniques do not seem to capture all the features of real-world scenarios. Furthermore, recent studies in Behavioral Economics evidence the necessity to define utility models that are not compatible with the self-interested utility-maximizing behavior of the traditional economic paradigm. In this work, starting from Other-Regarding Preference models that characterize the utility of an individual considering his/her own behavioral characteristics and the utility of another individual, we aim at obtaining a general model where such characteristics are described in terms of interpersonal relationships, such as, tie strength and conflict. We started by performing an analysis on opinion shifts based on a two sized groups user study, with the aim to empirically determine the extent of the considered parameters on a possible model. The results show that the opinion shifting on the evaluation of an activity to be performed in a group is related to the two considered factors.

KW - Group Recommendation Systems

KW - Other Regarding Preferences

KW - Social dynamics

UR - http://www.scopus.com/inward/record.url?scp=85057416973&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-03840-3_36

DO - 10.1007/978-3-030-03840-3_36

M3 - Conference contribution

SN - 9783030038397

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

SP - 489

EP - 501

BT - AI*IA 2018 – Advances in Artificial Intelligence - 17th International Conference of the Italian Association for Artificial Intelligence, Proceedings

PB - Springer Verlag

ER -