Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3657242.3658586acmotherconferencesArticle/Chapter ViewAbstractPublication PagesinteraccionConference Proceedingsconference-collections
research-article

Enhancing Interactive Assistive Solutions through 3D Simulation Characterization

Published: 19 June 2024 Publication History

Abstract

In the field of assistive solutions, defining parameters involves a complexity that demands thorough consideration during their development. This study addresses the need to establish a clear standard for the design, construction, and validation of assistive solutions that offer specific support services. Despite the existence of numerous works in the literature describing the construction of such solutions, particularly in the industrial sector, there is no consolidated protocol that effectively integrates existing resources to ensure their efficacy. The use of 3D simulations, although identified as a critical element in defining and understanding interactive assistive solutions, does not fully address the inherent challenges in designing and validating these solutions. It is essential to establish a mechanism that ensures experts the congruence between the simulations and the defined requirements, as well as their suitability as an indicator of the solution’s behavior in a real environment. This article proposes an approach that considers simulations as an integral part of the assistive solutions development cycle, using them as a preliminary representation of their behavior. For this purpose, a specific framework is presented that addresses both the capture of requirements and the validation of the final solution through 3D simulations. This approach aims to fill the existing gap in the scientific literature by providing a systematic methodology for the design and evaluation of assistive solutions, especially in industrial contexts where precision and reliability are crucial.

References

[1]
Hamed S Alavi, Denis Lalanne, and Yvonne Rogers. 2020. The five strands of living lab: A literature study of the evolution of living lab concepts in HCI. ACM Transactions on Computer-Human Interaction (TOCHI) 27, 2 (2020), 1–26.
[2]
Giuseppe Amato, Davide Bacciu, Stefano Chessa, Mauro Dragone, Claudio Gallicchio, Claudio Gennaro, Hector Lozano, Alessio Micheli, Gregory MP O’Hare, Arantxa Renteria, 2016. A benchmark dataset for human activity recognition and ambient assisted living. In Ambient Intelligence-Software and Applications–7th International Symposium on Ambient Intelligence (ISAmI 2016). Springer, 1–9.
[3]
Pablo Campillo-Sanchez and Jorge J Gomez-Sanz. 2015. A framework for developing multi-agent systems in ambient intelligence scenarios. In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems, 1949–1950.
[4]
Alexandros Andre Chaaraoui and Francisco Flórez-Revuelta. 2015. Continuous human action recognition in ambient assisted living scenarios. In Mobile Networks and Management: 6th International Conference, MONAMI 2014, Würzburg, Germany, September 22-26, 2014, Revised Selected Papers 6. Springer, 344–357.
[5]
Kadian Davis, Evans Owusu, Vahid Bastani, Lucio Marcenaro, Jun Hu, Carlo Regazzoni, and Loe Feijs. 2016. Activity recognition based on inertial sensors for ambient assisted living. In 2016 19th international conference on information fusion (fusion). Ieee, 371–378.
[6]
Jorge J Gómez-Sanz, Marlon Cardenas, Rafael Pax, and Pablo Campillo. 2016. Building prototypes through 3D simulations. PAAMS (2016), 299–301.
[7]
Parisa Rashidi and Alex Mihailidis. 2012. A survey on ambient-assisted living tools for older adults. IEEE journal of biomedical and health informatics 17, 3 (2012), 579–590.
[8]
Pedro Rito, Ana Almeida, Andreia Figueiredo, Christian Gomes, Pedro Teixeira, Rodrigo Rosmaninho, Rui Lopes, Duarte Dias, Gonçalo Vítor, Gonçalo Perna, 2023. Aveiro Tech city living lab: A communication, sensing and computing platform for city environments. IEEE Internet of Things Journal (2023).
[9]
Michele Ruta, Floriano Scioscia, Giuseppe Loseto, Filippo Gramegna, Saverio Ieva, Agnese Pinto, and Eugenio Di Sciascio. 2018. Social Internet of things for domotics: A knowledge-based approach over LDP-CoAP. Semantic Web 9, 6 (2018), 781–802.
[10]
Geetika Singla, Diane J Cook, and Maureen Schmitter-Edgecombe. 2010. Recognizing independent and joint activities among multiple residents in smart environments. Journal of ambient intelligence and humanized computing 1 (2010), 57–63.
[11]
Pawan Whig, Ketan Gupta, Nasmin Jiwani, and Arun Velu. 2022. Ambient Intelligence Health Services Using IoT. Ambient Intelligence and Internet Of Things: Convergent Technologies (2022), 53–79.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
Interacción '24: Proceedings of the XXIV International Conference on Human Computer Interaction
June 2024
155 pages
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 June 2024

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. ambient assistive living
  2. ambient intelligent
  3. interaction
  4. recognition
  5. simulation
  6. virtual living lab

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

INTERACCION 2024

Acceptance Rates

Overall Acceptance Rate 109 of 163 submissions, 67%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 2
    Total Downloads
  • Downloads (Last 12 months)2
  • Downloads (Last 6 weeks)0
Reflects downloads up to 01 Sep 2024

Other Metrics

Citations

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media