Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/22444
Author(s): | Salminen, J. Jung, S. - G. Kamel, A. M. S. Santos, J. M. Jansen, B. J. |
Date: | 2022 |
Title: | Using artificially generated pictures in customer-facing systems: An evaluation study with data-driven personas |
Journal title: | Behaviour and Information Technology |
Volume: | 41 |
Number: | 5 |
Pages: | 905 - 921 |
Reference: | Salminen, J., Jung, S. - G., Kamel, A. M. S., Santos, J. M., & Jansen, B. J. (2022). Using artificially generated pictures in customer-facing systems: An evaluation study with data-driven personas. Behaviour and Information Technology, 41(5), 905-921. http://dx.doi.org/10.1080/0144929x.2020.1838610 |
ISSN: | 0144-929X |
DOI (Digital Object Identifier): | 10.1080/0144929x.2020.1838610 |
Keywords: | Evaluation Human-computer interaction User behaviour Human factors Artificially generated facial pictures |
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. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | CIES-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Files in This Item:
File | Size | Format | |
---|---|---|---|
article_76909.pdf | 2,61 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.