Improving the Design of Ambient Intelligence Systems: Guidelines Based on a Systematic Review

ABSTRACT

Ambient intelligence (AmI) emerged in Europe with the idea that the computational support available in a living environment can help people’s lives. AmI introduces new challenges and critical issues because this technology differs from the traditional form of interaction that is centered on a device or system. In this work, we aim to contribute to this topic by conducting a systematic literature review in order to identify Human-Computer Interaction guidelines for the design of ambient intelligence systems. We found a total of 120 guidelines from 27 papers, and we grouped similar guidelines creating different categories. These categories of guidelines later became a unified guideline incorporating also some of our own ideas. As a result, this paper identifies ten categories and guidelines to improve user interaction with ambient intelligence systems. We believe that these guidelines significantly contribute to designing more intuitive AmI systems for users, including those with disabilities.

Author contributors

J.D.O. conceptualised, designed, performed, and wrote up the study. J.C.C. designed the review, reviewed papers, and edited the manuscript. V.S.M.P.C. designed the review, reviewed papers, and edited the manuscript. R.H.B. reviewed and edited the manuscript.

Disclosure of potential conflict of interest

We have no conflict to declare.

Notes

1. https://ieeexplore.ieee.org/Xplore/home.jsp

2. https://dl.acm.org

3. https://www.scopus.com

4. https://www.ncbi.nlm.nih.gov/pubmed

5. https://www.webofknowledge.com

6. http://www2.dc.ufscar.br/lapes/start/

7. https://dictionary.cambridge.org/

Additional information

Funding

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nivel Superior – Brasil (CAPES) – Finance Code 001.

Notes on contributors

Juliana Damasio Oliveira

Juliana Damasio Oliveira received the degree in Information Systems (2015) and the Master’s in Computer Science (2017) at PUCRS, Brazil. She is currently a Ph.D. candidate in Computer Science at PUCRS in the artificial intelligence field. Her research interests include Human-Computer Interaction and Ambient intelligence.

Júlia Colleoni Couto

Júlia Colleoni Couto holds a degree in Information Systems (2012), a Master’s in Computer Science (2018), and an MBA in Project Management (2016). She worked as Project Manager, in distributed software projects in the health sector. Currently pursuing a PhD in Computer Science at PUCRS, focusing on big data profiling.

Vanessa Stangherlin Machado Paixão-Cortes

Vanessa Stangherlin Machado Paixão-Cortes received a PhD in Computer Science from PUCRS, Brazil. She is substitute professor at Federal University of Health Sciences of Porto Alegre (UFCSPA). Her research interests includes Human-Computer Interaction and Inclusive Education in the context of Health Sciences and Bioinformatics.m

Rafael Heitor Bordini

Rafael Heitor Bordini received a PhD in Computer Science from University College London. He is associate professor at PUCRS where he heads the SMART and AI for Healthcare research groups. His research interests include multiagent-oriented programming, argumentation-based dialogue systems, and explainable AI applied to disaster rescue, healthcare, and the legal domain.