Game-based extraction of web users' personality factors for personalization

Rachel Yahel Halfon; Onn Shehory; David G. Schwartz

doi:10.1145/3039677.3039679

Game-based extraction of web users' personality factors for personalization

Rachel Yahel Halfon
, Onn Shehory
, David G. Schwartz

School of Business Administration

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

The volume of information users are exposed to on the web is overwhelming. To increase effectiveness of information delivery to users, providers employ personalization strategies. In a highly competitive environment, simplistic strategies do not suffice, and high-quality personalization is required. These can be based on users' decision making models. To build such models, we need to extract factors of direct influence on users' decision making. Personality factors are known to have this direct influence. They are stable over time and across situations, and they assist in predicting future behavior of individuals in a scientific way. In this paper, we introduce a novel methodology for extracting users' personality factors without holding any prior information on the users' behavior and, notably, without administering any psychological questionnaires. This allows us to build a designated model for each user or users' group, and in turn facilitates effective personalized information delivery. Copyright is held by the owner/author(s).

Original language	English
Title of host publication	HUMANIZE 2017 - Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, co-located with IUI 2017
Publisher	Association for Computing Machinery, Inc
Pages	13-25
Number of pages	13
ISBN (Electronic)	9781450349055
DOIs	https://doi.org/10.1145/3039677.3039679
State	Published - 13 Mar 2017
Event	1st ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, HUMANIZE 2017 - Limassol, Cyprus Duration: 13 Mar 2017 → …

Publication series

Name	HUMANIZE 2017 - Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, co-located with IUI 2017

Conference

Conference	1st ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, HUMANIZE 2017
Country/Territory	Cyprus
City	Limassol
Period	13/03/17 → …

Bibliographical note

Funding Information:
This work was supported by National Natural Science Foundation of China (51172122), Shenzhen Jiawei Photovoltaic Lighting Co., Ltd, and Tsinghua University Initiative Scientific Research Program (20161080165).

Funding

This work was supported by National Natural Science Foundation of China (51172122), Shenzhen Jiawei Photovoltaic Lighting Co., Ltd, and Tsinghua University Initiative Scientific Research Program (20161080165).

Funders	Funder number
Shenzhen Jiawei Photovoltaic Lighting Co.
National Natural Science Foundation of China	51172122
Tsinghua University	20161080165

Keywords

Factor extraction
Games
Personality traits
User modeling

Access to Document

10.1145/3039677.3039679

Cite this

Halfon, R. Y., Shehory, O., & Schwartz, D. G. (2017). Game-based extraction of web users' personality factors for personalization. In HUMANIZE 2017 - Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, co-located with IUI 2017 (pp. 13-25). (HUMANIZE 2017 - Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, co-located with IUI 2017). Association for Computing Machinery, Inc. https://doi.org/10.1145/3039677.3039679

Halfon, Rachel Yahel ; Shehory, Onn ; Schwartz, David G. / Game-based extraction of web users' personality factors for personalization. HUMANIZE 2017 - Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, co-located with IUI 2017. Association for Computing Machinery, Inc, 2017. pp. 13-25 (HUMANIZE 2017 - Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, co-located with IUI 2017).

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note = "Funding Information: This work was supported by National Natural Science Foundation of China (51172122), Shenzhen Jiawei Photovoltaic Lighting Co., Ltd, and Tsinghua University Initiative Scientific Research Program (20161080165).; 1st ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, HUMANIZE 2017 ; Conference date: 13-03-2017",

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Halfon, RY, Shehory, O & Schwartz, DG 2017, Game-based extraction of web users' personality factors for personalization. in HUMANIZE 2017 - Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, co-located with IUI 2017. HUMANIZE 2017 - Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, co-located with IUI 2017, Association for Computing Machinery, Inc, pp. 13-25, 1st ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, HUMANIZE 2017, Limassol, Cyprus, 13/03/17. https://doi.org/10.1145/3039677.3039679

Game-based extraction of web users' personality factors for personalization. / Halfon, Rachel Yahel; Shehory, Onn ; Schwartz, David G.
HUMANIZE 2017 - Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, co-located with IUI 2017. Association for Computing Machinery, Inc, 2017. p. 13-25 (HUMANIZE 2017 - Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, co-located with IUI 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Halfon RY, Shehory O , Schwartz DG. Game-based extraction of web users' personality factors for personalization. In HUMANIZE 2017 - Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, co-located with IUI 2017. Association for Computing Machinery, Inc. 2017. p. 13-25. (HUMANIZE 2017 - Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, co-located with IUI 2017). doi: 10.1145/3039677.3039679

Game-based extraction of web users' personality factors for personalization

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

Access to Document

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