Using artificially generated pictures in customer-facing systems: an evaluation study with data-driven personas. Issue 5 (4th April 2022)
- Record Type:
- Journal Article
- Title:
- Using artificially generated pictures in customer-facing systems: an evaluation study with data-driven personas. Issue 5 (4th April 2022)
- Main Title:
- Using artificially generated pictures in customer-facing systems: an evaluation study with data-driven personas
- Authors:
- Salminen, Joni
Jung, Soon-gyo
Kamel, Ahmed Mohamed Sayed
Santos, João M.
Jansen, Bernard J. - Abstract:
- ABSTRACT: We conduct two studies to evaluate the suitability of artificially generated facial pictures for use in a customer-facing system using data-driven personas. STUDY 1 investigates the quality of a sample of 1, 000 artificially generated facial pictures. Obtaining 6, 812 crowd judgments, we find that 90% of the images are rated medium quality or better. STUDY 2 examines the application of artificially generated facial pictures in data-driven personas using an experimental setting where the high-quality pictures are implemented in persona profiles. Based on 496 participants using 4 persona treatments (2 × 2 research design), findings of Bayesian analysis show that using the artificial pictures in persona profiles did not decrease the scores for Authenticity, Clarity, Empathy, and Willingness to Use of the data-driven personas.
- Is Part Of:
- Behaviour & information technology. Volume 41:Issue 5(2022)
- Journal:
- Behaviour & information technology
- Issue:
- Volume 41:Issue 5(2022)
- Issue Display:
- Volume 41, Issue 5 (2022)
- Year:
- 2022
- Volume:
- 41
- Issue:
- 5
- Issue Sort Value:
- 2022-0041-0005-0000
- Page Start:
- 905
- Page End:
- 921
- Publication Date:
- 2022-04-04
- Subjects:
- Evaluation -- human–computer interaction -- user behaviour -- human factors -- artificially generated facial pictures
Electronic data processing -- Periodicals
Human engineering -- Periodicals
Information technology -- Periodicals
303.4833 - Journal URLs:
- http://www.tandfonline.com/ ↗
- DOI:
- 10.1080/0144929X.2020.1838610 ↗
- Languages:
- English
- ISSNs:
- 0144-929X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1876.660000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21366.xml