Using personas to model museum visitors

Moneerah Almeshari; John Dowell; Julianne Nyhan

doi:10.1145/3314183.3323867

Using personas to model museum visitors

Moneerah Almeshari
, John Dowell
, Julianne Nyhan

University College London

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

11 Scopus citations

Abstract

It is widely agreed that museums and other cultural heritage venues should provide visitors with personalised interaction and services such as personalised mobile guides, although currently most do not. Since museum visitors are typically first-time visitors and since their visit is for a relatively short session, personalisation should use initial interaction data to associate the user with a particular persona and thereby infer other facts about the user's preferences and needs. In this paper we report a questionnaire-based study carried out with 105 visitors of a Science and Technology Centre to examine the minimal features needed to identify visitor personas. We find that museum visitors can be clustered by their visit motivation and perceived success factors; these clusters are found to correspond both with Falk's visitor categorisation and a prior classification of exploration styles. Consequently, these two features can be used to reliably identify the visitor persona, and therefore, can be used for user modeling.

Original language	English
Title of host publication	ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization
Publisher	Association for Computing Machinery, Inc
Pages	401-405
Number of pages	5
ISBN (Electronic)	9781450367110
DOIs	https://doi.org/10.1145/3314183.3323867
State	Published - 6 Jun 2019
Externally published	Yes
Event	27th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2019 - Larnaca, Cyprus Duration: 9 Jun 2019 → 12 Jun 2019

Publication series

Name	ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization

Conference

Conference	27th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2019
Country/Territory	Cyprus
City	Larnaca
Period	9/06/19 → 12/06/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Mobile guides
Museum visitors
Personas
User modeling

Access to Document

10.1145/3314183.3323867

Cite this

Almeshari, M., Dowell, J., & Nyhan, J. (2019). Using personas to model museum visitors. In ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization (pp. 401-405). (ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization). Association for Computing Machinery, Inc. https://doi.org/10.1145/3314183.3323867

Almeshari, Moneerah ; Dowell, John ; Nyhan, Julianne. / Using personas to model museum visitors. ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, 2019. pp. 401-405 (ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization).

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title = "Using personas to model museum visitors",

abstract = "It is widely agreed that museums and other cultural heritage venues should provide visitors with personalised interaction and services such as personalised mobile guides, although currently most do not. Since museum visitors are typically first-time visitors and since their visit is for a relatively short session, personalisation should use initial interaction data to associate the user with a particular persona and thereby infer other facts about the user's preferences and needs. In this paper we report a questionnaire-based study carried out with 105 visitors of a Science and Technology Centre to examine the minimal features needed to identify visitor personas. We find that museum visitors can be clustered by their visit motivation and perceived success factors; these clusters are found to correspond both with Falk's visitor categorisation and a prior classification of exploration styles. Consequently, these two features can be used to reliably identify the visitor persona, and therefore, can be used for user modeling.",

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year = "2019",

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language = "English",

series = "ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization",

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Almeshari, M, Dowell, J & Nyhan, J 2019, Using personas to model museum visitors. in ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization. ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization, Association for Computing Machinery, Inc, pp. 401-405, 27th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2019, Larnaca, Cyprus, 9/06/19. https://doi.org/10.1145/3314183.3323867

Using personas to model museum visitors. / Almeshari, Moneerah; Dowell, John; Nyhan, Julianne.
ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, 2019. p. 401-405 (ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization).

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

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AU - Almeshari, Moneerah

AU - Dowell, John

AU - Nyhan, Julianne

PY - 2019/6/6

Y1 - 2019/6/6

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AB - It is widely agreed that museums and other cultural heritage venues should provide visitors with personalised interaction and services such as personalised mobile guides, although currently most do not. Since museum visitors are typically first-time visitors and since their visit is for a relatively short session, personalisation should use initial interaction data to associate the user with a particular persona and thereby infer other facts about the user's preferences and needs. In this paper we report a questionnaire-based study carried out with 105 visitors of a Science and Technology Centre to examine the minimal features needed to identify visitor personas. We find that museum visitors can be clustered by their visit motivation and perceived success factors; these clusters are found to correspond both with Falk's visitor categorisation and a prior classification of exploration styles. Consequently, these two features can be used to reliably identify the visitor persona, and therefore, can be used for user modeling.

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ER -

Almeshari M, Dowell J, Nyhan J. Using personas to model museum visitors. In ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc. 2019. p. 401-405. (ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization). doi: 10.1145/3314183.3323867

Using personas to model museum visitors

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this