Data innovation

user experience with artificial intelligence-based systems

Authors

DOI:

https://doi.org/10.5965/2316796310202021023

Keywords:

Experiência do usuário, Inteligência Artificial, Aprendizado de Máquina, Tecnologia, Design

Abstract

The purpose of this article is to reflect on the issues surrounding innovations based on artificial intelligence, from the point of view of UX Design. We seek to contextualize the growth of content, technological advances and the enhancement of data stored and processed at high speed. We deal with the innovation process and the user experience with interfaces based on artificial intelligence, technology on the rise, but with little maturity in the field of Design. A bibliographic review was carried out to generate reflections in a theoretical article. Challenges have been identified to improve the user experience with machine-based interfaces.

Downloads

Download data is not yet available.

Author Biographies

Cinthia Ruiz, PUC-Rio

Doutoranda em Design pela PUC-Rio, Brasil. Mestre em Artes Digitais pela UPF, Espanha. Tem experiência em UX Design, gerenciamento de projetos e gestão de equipes.

Manuela Quaresma, PUC-Rio

Doutora e Mestre em Design (M.Sc. e D.Sc.) pela PUC-Rio, Brasil. Atua como pesquisadora e professora do PPGDesign Design da PUC-Rio no Laboratório de Ergodesign e Usabilidade de Interfaces (LEUI).

References

ALLEN, Philip van. Reimagining the Goals and Methods of UX for ML/AI. The AAAI 2017 Spring Symposium on Designing the User Experience of Machine Learning Systems Technical Report SS-17-04

BERNARDO, Francisco; ZBYSZYN ́SKI, Michael; FIEBRINK, Rebecca; GRIERSON, Mick. Interactive Machine Learning for End-User Innovation. The AAAI 2017 Spring Symposium on Designing the User Experience of Machine Learning Systems Technical Report SS-17-04

BODEGRAVEN, Joël van. How Anticipatory Design Will Challenge Our Relationship with Technology. The AAAI 2017 Spring Symposium on Designing the User Experience of Machine Learning Systems Technical Report SS-17-04

BRIGGS, Asa; BURKE, Peter. Uma História Social da Mídia: de Gutenberg à Internet. Rio de Janeiro, Zahar: 2006.

CRAMER, Henriette; THOM, Jennifer. Not-So-Autonomous, Very Human Decisions in Machine Learning: Questions when Designing for ML. The AAAI 2017 Spring Symposium on Designing the User Experience of Machine Learning Systems Technical Report SS-17-04

DOSI, Giovanni. Technological paradigms and technological trajectories: A suggested interpretation of the determnants and directions of technical change. Research Policy, 1982, 11 (3): 147–62.

DOVE, Graham; HALSKOV, Kim; FORLIZZI, Jodi; ZIMMERMAN, John. UX Design Innovation: Challenges for Working with Machine Learning as a Design Material. Denver, EUA: CHI, 2017.

ENDSLEY, Mica R.; JONES, Debra G. Designing for Situation Awareness: An Approach to User-Centered Design. Boca Raton, EUA: CRC Press - Taylor & Francis Group, 2004.

GIRARDIN, Fabien; LATHIA, Neal. When User Experience Designers Partner with Data Scientists. The AAAI 2017 Spring Symposium on Designing the User Experience of Machine Learning Systems Technical Report SS-17-04

GOOGLE PAIR. People + AI Guidebook. 2019 Disponível em: https://research.google/teams/brain/pair/ Acesso em: 07 de maio de 2020.

HOLZIGER, Andreas. From Machine Learning to Explainable AI. Keynote Talk at IEEE DISA 2018 Conference, Kosice, August, 23, 2018

JORDAN, Patrick W., Designing Pleasurable Products: An Introduction to the New Human Factors. Londres: Taylor & Francis, 2000.

KALBACH, J. Design de Navegação Web: Otimizando a Experiência do Usuário. Porto Alegre, Brasil: Bookman, 2009.

KROEMER, K. H. E.; GRANDJEAN, E.. Fitting the Task to the Human. UK: Taylor & Francis, 2009.

MARTELARO, Nikolas; JU, Wendy. DJ Bot: Needfinding Machines for Improved Music Recommendations. The AAAI 2017 Spring Symposium on Designing the User Experience of Machine Learning Systems Technical Report SS-17-04

MINELLI, Michael; Chambers, Michele; Dhiraj, Ambiga. Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today’s Businesses. New Jersey, EUA: John Wiley & Sons, Inc, 2013.

NATH, Keshab; Iswary, Raja. What Comes after Web 3.0? Web 4.0 and the Future. International Conference on Computing and Communication Systems (I3CS’15)

NORMAN, Donald. A. Technology First, Needs Last: The Research-Product Gulf. Interactions, 2010, p.38-42.

NORMAN, Donald. A.; VERGANTI, Roberto. Incremental and Radical Innovation: Design Research vs. Technology and Meaning Change. Design Issues, 2014, 30(1):78-96.

NYE, David E., Technology Matters: Questions to Live With. Londres, Inglaterra: The MIT Press, 2006.

ROUHIAINEN, Lasse. Artificial Intelligence: 101 Things You Must Know Today About Our Future.

ROSENFELD, L; MORVILLE, P; ARANGO, J. Information architecture for the Web and Beyond. 1. ed. Sebastopol: O‟Really, 2015.

SAMEK, Wojciech; WIEGAND, Thomas; MÜLLER, Klaus-Robert. Explainable Artificial Intelligence: Understanding, Visualizing And Interpreting Deep Learning Models. JO - ITU Journal: ICT Discoveries - Special Issue 1 - The Impact of Artificial Intelligence (AI) on Communication Networks and Services, 2017.

SAMPAIO, C. Web 2.0 e Mashups: Reinventando a Internet. Rio de Janeiro, Editora Brasport: 2007.

SETLUR, Vidya; TORY, Melanie. Exploring Synergies between Visual Analytical Flow and Language Pragmatics. The AAAI 2017 Spring Symposium on Designing the User Experience of Machine Learning Systems Technical Report SS-17-04

SPRINGER, Aaron; HOLLIS, Victoria; WHITTAKER, Steve. Dice in the Black Box: User Experiences with an Inscrutable Algorithm. The AAAI 2017 Spring Symposium on Designing the User Experience of Machine Learning Systems Technical Report SS-17-04

TSIHRINTZIS, George A.; SOTIROPOULOS, Dionisios N.; e JAIN Lakhmi C.. Machine Learning Paradigms. Suiça: Springer, 2019.

VERGANTI, Roberto. Radical Design and Technology Epiphanies: A New Focus for Research on Design Management. J Prod Innov Manag, 2011;28:384–388

VERGANTI, Roberto; VENDRAMINELLI, Luca; IANSITI, Marco. Innovation and Design in the Age of Artificial Intelligence. J Prod Innov Manag, 2020;37(3):212–227

WINOGRAD, Terry. The Design of Interaction. Em Beyond Calculation: The Next Fifty Years of Computing. Nova York, EUA: Springer, 1997. P.149–161

WRIGHT, Peter; MCCARTHY, John. Empathy and Experience in HCI. Em Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’08, 637–646. EUA, Nova York: ACM, 2008.

WURMAN, Richard Saul. Information Anxiety 2. Indianapolis, EUA: Que, 2001.

YANG, Quian. The Role of Design in Creating Machine-Learning-Enhanced User Experience. The AAAI 2017 Spring Symposium on Designing the User Experience of Machine Learning Systems Technical Report SS-17-04

Downloads

Published

2021-12-09

How to Cite

RUIZ, Cinthia; QUARESMA, Manuela. Data innovation: user experience with artificial intelligence-based systems. Human Factors in Design, Florianópolis, v. 10, n. 20, 2021. DOI: 10.5965/2316796310202021023. Disponível em: https://revistas.udesc.br/index.php/hfd/article/view/18511. Acesso em: 17 jul. 2024.

Issue

Vol. 10 No. 20 (2021): Human Factors in Design

Section

Artigos

License

Copyright (c) 2021 Human Factors in Design

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Os artigos publicados pela revista são de uso gratuito, destinados a aplicações acadêmicas e não comerciais. Os direitos autorais são todos cedidos à revista. Os artigos cujos autores são identificados representam a expressão do ponto de vista de seus autores e não a posição oficial da revista Human Factors Design. O (s) autor (es) se compromete a sempre que publicar material referente ao artigo publicado na Revista Human Factors Design mencionar a referida publicação da seguinte forma:

Este artigo foi públicado originalmente pela Revista Human Factors Design em seu volume (colocar o volume), número (colocar o número) no ano de (colocar o ano) e pode ser acessado em: https://periodicos.udesc.br/index.php/hfd/index