User Models for Connected Personalized Avatars for Cultural Heritage Experiences

Alan Jay Wecker; Antonio Origlia; Tsvi Kuflik

doi:10.1145/3708319.3733650

User Models for Connected Personalized Avatars for Cultural Heritage Experiences

Alan Jay Wecker
, Antonio Origlia
, Tsvi Kuflik

Department of Information Systems

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

Abstract

User models can be enhanced with context aware models (configurations) of the preferred avatar configuration. These models could be initiated by a set of rules connected to User Personality to mitigate the cold start problem. This joint model can be used and is appropriate for cultural heritage applications. This is a short paper exploring this idea and discussing possible methods of evaluation.

Original language	English
Title of host publication	UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization
Publisher	Association for Computing Machinery, Inc
Pages	464-466
Number of pages	3
ISBN (Electronic)	9798400713996
DOIs	https://doi.org/10.1145/3708319.3733650
State	Published - 12 Jun 2025
Event	33rd Conference on User Modeling, Adaptation and Personalization, UMAP 2025 - New York, United States Duration: 16 Jun 2025 → 19 Jun 2025

Publication series

Name	UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization

Conference

Conference	33rd Conference on User Modeling, Adaptation and Personalization, UMAP 2025
Country/Territory	United States
City	New York
Period	16/06/25 → 19/06/25

Bibliographical note

Publisher Copyright:
© 2025 Copyright held by the owner/author(s).

Keywords

Avatars
Context Aware
Personalization
User Models

ASJC Scopus subject areas

Software

Access to Document

10.1145/3708319.3733650

Cite this

Wecker, A. J., Origlia, A., & Kuflik, T. (2025). User Models for Connected Personalized Avatars for Cultural Heritage Experiences. In UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization (pp. 464-466). (UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization). Association for Computing Machinery, Inc. https://doi.org/10.1145/3708319.3733650

Wecker, Alan Jay ; Origlia, Antonio ; Kuflik, Tsvi. / User Models for Connected Personalized Avatars for Cultural Heritage Experiences. UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, 2025. pp. 464-466 (UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization).

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title = "User Models for Connected Personalized Avatars for Cultural Heritage Experiences",

abstract = "User models can be enhanced with context aware models (configurations) of the preferred avatar configuration. These models could be initiated by a set of rules connected to User Personality to mitigate the cold start problem. This joint model can be used and is appropriate for cultural heritage applications. This is a short paper exploring this idea and discussing possible methods of evaluation.",

keywords = "Avatars, Context Aware, Personalization, User Models",

author = "Wecker, \{Alan Jay\} and Antonio Origlia and Tsvi Kuflik",

note = "Publisher Copyright: {\textcopyright} 2025 Copyright held by the owner/author(s).; 33rd Conference on User Modeling, Adaptation and Personalization, UMAP 2025 ; Conference date: 16-06-2025 Through 19-06-2025",

year = "2025",

month = jun,

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doi = "10.1145/3708319.3733650",

language = "English",

series = "UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization",

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Wecker, AJ, Origlia, A & Kuflik, T 2025, User Models for Connected Personalized Avatars for Cultural Heritage Experiences. in UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, Association for Computing Machinery, Inc, pp. 464-466, 33rd Conference on User Modeling, Adaptation and Personalization, UMAP 2025, New York, United States, 16/06/25. https://doi.org/10.1145/3708319.3733650

User Models for Connected Personalized Avatars for Cultural Heritage Experiences. / Wecker, Alan Jay; Origlia, Antonio; Kuflik, Tsvi.
UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, 2025. p. 464-466 (UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization).

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

TY - GEN

T1 - User Models for Connected Personalized Avatars for Cultural Heritage Experiences

AU - Wecker, Alan Jay

AU - Origlia, Antonio

AU - Kuflik, Tsvi

PY - 2025/6/12

Y1 - 2025/6/12

N2 - User models can be enhanced with context aware models (configurations) of the preferred avatar configuration. These models could be initiated by a set of rules connected to User Personality to mitigate the cold start problem. This joint model can be used and is appropriate for cultural heritage applications. This is a short paper exploring this idea and discussing possible methods of evaluation.

AB - User models can be enhanced with context aware models (configurations) of the preferred avatar configuration. These models could be initiated by a set of rules connected to User Personality to mitigate the cold start problem. This joint model can be used and is appropriate for cultural heritage applications. This is a short paper exploring this idea and discussing possible methods of evaluation.

KW - Avatars

KW - Context Aware

KW - Personalization

KW - User Models

UR - https://www.scopus.com/pages/publications/105011042137

U2 - 10.1145/3708319.3733650

DO - 10.1145/3708319.3733650

M3 - Conference contribution

AN - SCOPUS:105011042137

T3 - UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization

SP - 464

EP - 466

BT - UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization

PB - Association for Computing Machinery, Inc

T2 - 33rd Conference on User Modeling, Adaptation and Personalization, UMAP 2025

Y2 - 16 June 2025 through 19 June 2025

ER -

Wecker AJ, Origlia A, Kuflik T. User Models for Connected Personalized Avatars for Cultural Heritage Experiences. In UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc. 2025. p. 464-466. (UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization). doi: 10.1145/3708319.3733650

User Models for Connected Personalized Avatars for Cultural Heritage Experiences

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this