Standard

A methodology for creating and validating psychological stories for conveying and measuring psychological traits. / Smith, Kirsten A.; Dennis, Matt; Masthoff, Judith; Tintarev, Nava.

In: User Modeling and User-Adapted Interaction: the journal of personalization research, 2019, p. 1-46.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Smith, KA, Dennis, M, Masthoff, J & Tintarev, N 2019, 'A methodology for creating and validating psychological stories for conveying and measuring psychological traits' User Modeling and User-Adapted Interaction: the journal of personalization research, pp. 1-46. https://doi.org/10.1007/s11257-019-09219-6

APA

Smith, K. A., Dennis, M., Masthoff, J., & Tintarev, N. (2019). A methodology for creating and validating psychological stories for conveying and measuring psychological traits. User Modeling and User-Adapted Interaction: the journal of personalization research, 1-46. https://doi.org/10.1007/s11257-019-09219-6

Vancouver

Smith KA, Dennis M, Masthoff J, Tintarev N. A methodology for creating and validating psychological stories for conveying and measuring psychological traits. User Modeling and User-Adapted Interaction: the journal of personalization research. 2019;1-46. https://doi.org/10.1007/s11257-019-09219-6

Author

Smith, Kirsten A. ; Dennis, Matt ; Masthoff, Judith ; Tintarev, Nava. / A methodology for creating and validating psychological stories for conveying and measuring psychological traits. In: User Modeling and User-Adapted Interaction: the journal of personalization research. 2019 ; pp. 1-46.

BibTeX

@article{97b468939d9244528a1818dfd7051c4d,
title = "A methodology for creating and validating psychological stories for conveying and measuring psychological traits",
abstract = "Personality impacts all areas of our lives; it governs who we are and how we react to life’s challenges. Personalized systems that adapt to end users should take into account the user’s personality to perform well. Several methodologies (e.g. User-as-Wizard, indirect studies) that use personality adaptation require first for personality to be conveyed to the participant; this has few validated approaches. Furthermore, measuring personality is often time consuming, prone to response bias (e.g. using questionnaires) or data intensive (e.g. using behaviour or text mining). This paper presents a methodology for creating and validating stories to convey psychological traits and for using such stories with a personality slider scale to measure these traits. We present the validation of the scale and evaluate its reliability. To evidence the validity of the methodology, we outline studies where the stories and scale have been effectively applied (in recommender systems, intelligent tutoring systems, and persuasive systems).",
keywords = "Empirical methodology, Personality, Personality measurement, Research tools",
author = "Smith, {Kirsten A.} and Matt Dennis and Judith Masthoff and Nava Tintarev",
year = "2019",
doi = "10.1007/s11257-019-09219-6",
language = "English",
pages = "1--46",
journal = "User Modeling and User-Adapted Interaction: the journal of personalization research",
issn = "0924-1868",
publisher = "Springer Netherlands",

}

RIS

TY - JOUR

T1 - A methodology for creating and validating psychological stories for conveying and measuring psychological traits

AU - Smith, Kirsten A.

AU - Dennis, Matt

AU - Masthoff, Judith

AU - Tintarev, Nava

PY - 2019

Y1 - 2019

N2 - Personality impacts all areas of our lives; it governs who we are and how we react to life’s challenges. Personalized systems that adapt to end users should take into account the user’s personality to perform well. Several methodologies (e.g. User-as-Wizard, indirect studies) that use personality adaptation require first for personality to be conveyed to the participant; this has few validated approaches. Furthermore, measuring personality is often time consuming, prone to response bias (e.g. using questionnaires) or data intensive (e.g. using behaviour or text mining). This paper presents a methodology for creating and validating stories to convey psychological traits and for using such stories with a personality slider scale to measure these traits. We present the validation of the scale and evaluate its reliability. To evidence the validity of the methodology, we outline studies where the stories and scale have been effectively applied (in recommender systems, intelligent tutoring systems, and persuasive systems).

AB - Personality impacts all areas of our lives; it governs who we are and how we react to life’s challenges. Personalized systems that adapt to end users should take into account the user’s personality to perform well. Several methodologies (e.g. User-as-Wizard, indirect studies) that use personality adaptation require first for personality to be conveyed to the participant; this has few validated approaches. Furthermore, measuring personality is often time consuming, prone to response bias (e.g. using questionnaires) or data intensive (e.g. using behaviour or text mining). This paper presents a methodology for creating and validating stories to convey psychological traits and for using such stories with a personality slider scale to measure these traits. We present the validation of the scale and evaluate its reliability. To evidence the validity of the methodology, we outline studies where the stories and scale have been effectively applied (in recommender systems, intelligent tutoring systems, and persuasive systems).

KW - Empirical methodology

KW - Personality

KW - Personality measurement

KW - Research tools

UR - http://www.scopus.com/inward/record.url?scp=85063209392&partnerID=8YFLogxK

U2 - 10.1007/s11257-019-09219-6

DO - 10.1007/s11257-019-09219-6

M3 - Article

SP - 1

EP - 46

JO - User Modeling and User-Adapted Interaction: the journal of personalization research

T2 - User Modeling and User-Adapted Interaction: the journal of personalization research

JF - User Modeling and User-Adapted Interaction: the journal of personalization research

SN - 0924-1868

ER -

ID: 51054026