A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
Explaining data-driven personas to end users
Tekijät: Soon Gyo Jung, Joni Salminen, Bernard J. Jansen
Toimittaja: Alison Smith-Renner, Styliani Kleanthous, Brian Lim, Tsvi Kuflik, Simone Stumpf, Jahna Otterbacher, Advait Sarkar, Casey Dugan, Avital Shulner
Konferenssin vakiintunut nimi: Workshop on Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies
Kustantaja: CEUR-WS
Julkaisuvuosi: 2020
Journal: CEUR Workshop Proceedings
Kokoomateoksen nimi: 2020 Workshop on Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies, ExSS-ATEC 2020
Tietokannassa oleva lehden nimi: CEUR Workshop Proceedings
Sarjan nimi: CEUR Workshop Proceedings
Vuosikerta: 2582
ISSN: 1613-0073
Verkko-osoite: http://ceur-ws.org/Vol-2582/
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/48042328
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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
