Explaining data-driven personas to end users

Soon Gyo Jung; Joni Salminen; Bernard J. Jansen

Explaining data-driven personas to end users

Soon Gyo Jung^*
, Joni Salminen
, Bernard J. Jansen

^*Corresponding author for this work

Qatar Computing Research Institute

Hamad bin Khalifa University
University of Turku

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

Abstract

Enabled by digital user data and algorithms, persona user interfaces (UI) are moving to digital formats. However, algorithms and user data, if left unexplained to end users, might leave data-driven personas (DDPs) difficult to understand and trust. This is because the data and the way it is processed are complex and not self-evident, requiring explanations of the DDP information and UIs. In this research, we provide a proof of concept for adding transparency to DDP using a real system UI. Furthermore, we demonstrate ways to add breakdown information that can help alleviate user stereotyping associated with the use of personas.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	2582
Publication status	Published - 2020
Event	2020 Workshop on Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies, ExSS-ATEC 2020 co-located with 25th International Conference on Intelligent User Interfaces, IUI 2020 - Cagliari, Italy Duration: 17 Mar 2020 → 17 Mar 2020

Keywords

Digital interfaces
Information design
Personas
Transparency

Cite this

@article{e7bcc2bc51bb4ad0960efd54f461f729,

title = "Explaining data-driven personas to end users",

abstract = "Enabled by digital user data and algorithms, persona user interfaces (UI) are moving to digital formats. However, algorithms and user data, if left unexplained to end users, might leave data-driven personas (DDPs) difficult to understand and trust. This is because the data and the way it is processed are complex and not self-evident, requiring explanations of the DDP information and UIs. In this research, we provide a proof of concept for adding transparency to DDP using a real system UI. Furthermore, we demonstrate ways to add breakdown information that can help alleviate user stereotyping associated with the use of personas.",

keywords = "Digital interfaces, Information design, Personas, Transparency",

author = "Jung, \{Soon Gyo\} and Joni Salminen and Jansen, \{Bernard J.\}",

note = "Publisher Copyright: Copyright {\textcopyright} 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).; 2020 Workshop on Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies, ExSS-ATEC 2020 co-located with 25th International Conference on Intelligent User Interfaces, IUI 2020 ; Conference date: 17-03-2020 Through 17-03-2020",

year = "2020",

language = "English",

volume = "2582",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

}

TY - JOUR

T1 - Explaining data-driven personas to end users

AU - Jung, Soon Gyo

AU - Salminen, Joni

AU - Jansen, Bernard J.

PY - 2020

Y1 - 2020

N2 - Enabled by digital user data and algorithms, persona user interfaces (UI) are moving to digital formats. However, algorithms and user data, if left unexplained to end users, might leave data-driven personas (DDPs) difficult to understand and trust. This is because the data and the way it is processed are complex and not self-evident, requiring explanations of the DDP information and UIs. In this research, we provide a proof of concept for adding transparency to DDP using a real system UI. Furthermore, we demonstrate ways to add breakdown information that can help alleviate user stereotyping associated with the use of personas.

AB - Enabled by digital user data and algorithms, persona user interfaces (UI) are moving to digital formats. However, algorithms and user data, if left unexplained to end users, might leave data-driven personas (DDPs) difficult to understand and trust. This is because the data and the way it is processed are complex and not self-evident, requiring explanations of the DDP information and UIs. In this research, we provide a proof of concept for adding transparency to DDP using a real system UI. Furthermore, we demonstrate ways to add breakdown information that can help alleviate user stereotyping associated with the use of personas.

KW - Digital interfaces

KW - Information design

KW - Personas

KW - Transparency

UR - https://www.scopus.com/pages/publications/85082943167

M3 - Conference article

AN - SCOPUS:85082943167

SN - 1613-0073

VL - 2582

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2020 Workshop on Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies, ExSS-ATEC 2020 co-located with 25th International Conference on Intelligent User Interfaces, IUI 2020

Y2 - 17 March 2020 through 17 March 2020

ER -

Explaining data-driven personas to end users

Abstract

Keywords

Other files and links

Fingerprint

Cite this