Using social media mining for estimating theory of planned behaviour parameters

Marko Tkalčič; Bruce Ferwerda; Markus Schedl; Cynthia Liem; Mark Melenhorst; Ante Odić; Andrej Košir

Using social media mining for estimating theory of planned behaviour parameters

Marko Tkalčič, Bruce Ferwerda, Markus Schedl, Cynthia Liem, Mark Melenhorst, Ante Odić, Andrej Košir

Multimedia Computing

Research output: Contribution to journal › Conference article › Scientific › peer-review

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Abstract

In this position paper we present the scenario of making interventions for increasing the classical music concert-going behaviour of end users. Within the FP7 Phenicx project we are developing a personalized persuasive system that attempts at changing the concert-going behaviour of users. The system is based on the theory of planned behaviour user model for predicting whether a user will attend a concert or not. Our goal is to develop a machine learning algorithm that will extract the user model parameters unobtrusively from the micro-blogs of the users. We plan to perform a user study to build the training dataset and to test the system on real users within the project.

Original language	English
Pages (from-to)	57-63
Number of pages	7
Journal	CEUR Workshop Proceedings
Volume	1181
Publication status	Published - 2014
Event	Workshop of the 22nd Conference on User Modeling, Adaptation, and Personalization, UMAP 2014 - Co-located with the 22nd Conference on User Modeling, Adaptation, and Personalization, UMAP 2014 - Aalborg, Denmark Duration: 7 Jul 2014 → 11 Jul 2014

Keywords

Classical music
Phenicx
Theory of planned behaviour
User modeling

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empire2014_paper_06Final published version, 252 KBLicence: CC BY

Cite this

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title = "Using social media mining for estimating theory of planned behaviour parameters",

abstract = "In this position paper we present the scenario of making interventions for increasing the classical music concert-going behaviour of end users. Within the FP7 Phenicx project we are developing a personalized persuasive system that attempts at changing the concert-going behaviour of users. The system is based on the theory of planned behaviour user model for predicting whether a user will attend a concert or not. Our goal is to develop a machine learning algorithm that will extract the user model parameters unobtrusively from the micro-blogs of the users. We plan to perform a user study to build the training dataset and to test the system on real users within the project.",

keywords = "Classical music, Phenicx, Theory of planned behaviour, User modeling",

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language = "English",

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pages = "57--63",

journal = "CEUR Workshop Proceedings",

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note = "Workshop of the 22nd Conference on User Modeling, Adaptation, and Personalization, UMAP 2014 - Co-located with the 22nd Conference on User Modeling, Adaptation, and Personalization, UMAP 2014 ; Conference date: 07-07-2014 Through 11-07-2014",

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T1 - Using social media mining for estimating theory of planned behaviour parameters

AU - Tkalčič, Marko

AU - Ferwerda, Bruce

AU - Schedl, Markus

AU - Liem, Cynthia

AU - Melenhorst, Mark

AU - Odić, Ante

AU - Košir, Andrej

PY - 2014

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AB - In this position paper we present the scenario of making interventions for increasing the classical music concert-going behaviour of end users. Within the FP7 Phenicx project we are developing a personalized persuasive system that attempts at changing the concert-going behaviour of users. The system is based on the theory of planned behaviour user model for predicting whether a user will attend a concert or not. Our goal is to develop a machine learning algorithm that will extract the user model parameters unobtrusively from the micro-blogs of the users. We plan to perform a user study to build the training dataset and to test the system on real users within the project.

KW - Classical music

KW - Phenicx

KW - Theory of planned behaviour

KW - User modeling

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AN - SCOPUS:84925237435

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VL - 1181

SP - 57

EP - 63

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - Workshop of the 22nd Conference on User Modeling, Adaptation, and Personalization, UMAP 2014 - Co-located with the 22nd Conference on User Modeling, Adaptation, and Personalization, UMAP 2014

Y2 - 7 July 2014 through 11 July 2014

ER -

Using social media mining for estimating theory of planned behaviour parameters

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