A Method to Evaluate User-Centered Self-Adaptive Systems for Smart Environments

José Marcelo Àvila Fajardo; Christian Patricio Quito Arévalo; Wilson Valdez Solis; Paul Esteban Cárdenas Delgado; Irene Priscila Cedillo Orellana

doi:10.1109/ICEDEG61611.2024.10702056

A Method to Evaluate User-Centered Self-Adaptive Systems for Smart Environments

José Marcelo Àvila Fajardo
, Christian Patricio Quito Arévalo
, Wilson Valdez Solis
, Paul Esteban Cárdenas Delgado
, Irene Priscila Cedillo Orellana

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

With the advent of Industry 4.0, Ambient Intelligence, and other related technologies, self-Adaptation has been seen in modern systems. In this sense, Human-Computer Interaction (HCI) requires an approach focused on the user and the environment, which facilitates and enhances the use of the systems. In this context, the quality of Self-Adaptive Systems (SAS) is essential for their adoption, dissemination, and service. Thus, this study introduces a detailed evaluation method to analyze the quality of HCI in SAS, providing a solution applicable to various contexts aligned with the standard ISO/IEC 25040. This study also presents a quality model aligned with the ISO/IEC 25010 standard. The quality evaluation method allows the objective definition for the measurement application through specific metrics that determine the degree of functional adequacy and interaction capability. Finally, this study demonstrates how to perform a detailed evaluation of the quality of HCI in SAS, using as an example the evaluation of the Spotify system as a case study, applying metrics to evaluate functional adequacy and interaction capacity aligned with ISO/IEC 25040 and 25010 standards.

Original language	English
Title of host publication	10th International Conference on eDemocracy and eGovernment, ICEDEG 2024
Editors	Luis Terán, Jhonny Pincay, Carmen Vaca, Daniel Riofrío
Place of Publication	Lucerne
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-7
Number of pages	7
ISBN (Electronic)	979-835036553-5
DOIs	https://doi.org/10.1109/ICEDEG61611.2024.10702056
State	Published - 2024
Event	10th International Conference on eDemocracy and eGovernment, ICEDEG 2024 - Lucerne, Switzerland Duration: 24 Jun 2024 → 26 Jun 2024

Conference

Conference	10th International Conference on eDemocracy and eGovernment, ICEDEG 2024
Country/Territory	Switzerland
City	Lucerne
Period	24/06/24 → 26/06/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Human-Computer Interaction (HCI)
Self-Adaptive Systems (SAS)
quality assessment
quality model

Access to Document

10.1109/ICEDEG61611.2024.10702056

Cite this

Àvila Fajardo, J. M., Quito Arévalo, C. P., Valdez Solis, W., Cárdenas Delgado, P. E., & Cedillo Orellana, I. P. (2024). A Method to Evaluate User-Centered Self-Adaptive Systems for Smart Environments. In L. Terán, J. Pincay, C. Vaca, & D. Riofrío (Eds.), 10th International Conference on eDemocracy and eGovernment, ICEDEG 2024 (pp. 1-7). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEDEG61611.2024.10702056

Àvila Fajardo, José Marcelo ; Quito Arévalo, Christian Patricio ; Valdez Solis, Wilson et al. / A Method to Evaluate User-Centered Self-Adaptive Systems for Smart Environments. 10th International Conference on eDemocracy and eGovernment, ICEDEG 2024. editor / Luis Terán ; Jhonny Pincay ; Carmen Vaca ; Daniel Riofrío. Lucerne : Institute of Electrical and Electronics Engineers Inc., 2024. pp. 1-7

@inproceedings{47629724eb774731bc34716bb746b1bd,

title = "A Method to Evaluate User-Centered Self-Adaptive Systems for Smart Environments",

abstract = "With the advent of Industry 4.0, Ambient Intelligence, and other related technologies, self-Adaptation has been seen in modern systems. In this sense, Human-Computer Interaction (HCI) requires an approach focused on the user and the environment, which facilitates and enhances the use of the systems. In this context, the quality of Self-Adaptive Systems (SAS) is essential for their adoption, dissemination, and service. Thus, this study introduces a detailed evaluation method to analyze the quality of HCI in SAS, providing a solution applicable to various contexts aligned with the standard ISO/IEC 25040. This study also presents a quality model aligned with the ISO/IEC 25010 standard. The quality evaluation method allows the objective definition for the measurement application through specific metrics that determine the degree of functional adequacy and interaction capability. Finally, this study demonstrates how to perform a detailed evaluation of the quality of HCI in SAS, using as an example the evaluation of the Spotify system as a case study, applying metrics to evaluate functional adequacy and interaction capacity aligned with ISO/IEC 25040 and 25010 standards. ",

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doi = "10.1109/ICEDEG61611.2024.10702056",

language = "Ingl{\'e}s",

pages = "1--7",

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booktitle = "10th International Conference on eDemocracy and eGovernment, ICEDEG 2024",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Àvila Fajardo, JM, Quito Arévalo, CP, Valdez Solis, W, Cárdenas Delgado, PE & Cedillo Orellana, IP 2024, A Method to Evaluate User-Centered Self-Adaptive Systems for Smart Environments. in L Terán, J Pincay, C Vaca & D Riofrío (eds), 10th International Conference on eDemocracy and eGovernment, ICEDEG 2024. Institute of Electrical and Electronics Engineers Inc., Lucerne, pp. 1-7, 10th International Conference on eDemocracy and eGovernment, ICEDEG 2024, Lucerne, Switzerland, 24/06/24. https://doi.org/10.1109/ICEDEG61611.2024.10702056

A Method to Evaluate User-Centered Self-Adaptive Systems for Smart Environments. / Àvila Fajardo, José Marcelo; Quito Arévalo, Christian Patricio; Valdez Solis, Wilson et al.
10th International Conference on eDemocracy and eGovernment, ICEDEG 2024. ed. / Luis Terán; Jhonny Pincay; Carmen Vaca; Daniel Riofrío. Lucerne: Institute of Electrical and Electronics Engineers Inc., 2024. p. 1-7.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Method to Evaluate User-Centered Self-Adaptive Systems for Smart Environments

AU - Àvila Fajardo, José Marcelo

AU - Quito Arévalo, Christian Patricio

AU - Valdez Solis, Wilson

AU - Cárdenas Delgado, Paul Esteban

AU - Cedillo Orellana, Irene Priscila

PY - 2024

Y1 - 2024

N2 - With the advent of Industry 4.0, Ambient Intelligence, and other related technologies, self-Adaptation has been seen in modern systems. In this sense, Human-Computer Interaction (HCI) requires an approach focused on the user and the environment, which facilitates and enhances the use of the systems. In this context, the quality of Self-Adaptive Systems (SAS) is essential for their adoption, dissemination, and service. Thus, this study introduces a detailed evaluation method to analyze the quality of HCI in SAS, providing a solution applicable to various contexts aligned with the standard ISO/IEC 25040. This study also presents a quality model aligned with the ISO/IEC 25010 standard. The quality evaluation method allows the objective definition for the measurement application through specific metrics that determine the degree of functional adequacy and interaction capability. Finally, this study demonstrates how to perform a detailed evaluation of the quality of HCI in SAS, using as an example the evaluation of the Spotify system as a case study, applying metrics to evaluate functional adequacy and interaction capacity aligned with ISO/IEC 25040 and 25010 standards.

AB - With the advent of Industry 4.0, Ambient Intelligence, and other related technologies, self-Adaptation has been seen in modern systems. In this sense, Human-Computer Interaction (HCI) requires an approach focused on the user and the environment, which facilitates and enhances the use of the systems. In this context, the quality of Self-Adaptive Systems (SAS) is essential for their adoption, dissemination, and service. Thus, this study introduces a detailed evaluation method to analyze the quality of HCI in SAS, providing a solution applicable to various contexts aligned with the standard ISO/IEC 25040. This study also presents a quality model aligned with the ISO/IEC 25010 standard. The quality evaluation method allows the objective definition for the measurement application through specific metrics that determine the degree of functional adequacy and interaction capability. Finally, this study demonstrates how to perform a detailed evaluation of the quality of HCI in SAS, using as an example the evaluation of the Spotify system as a case study, applying metrics to evaluate functional adequacy and interaction capacity aligned with ISO/IEC 25040 and 25010 standards.

KW - Human-Computer Interaction (HCI)

KW - Self-Adaptive Systems (SAS)

KW - quality assessment

KW - quality model

KW - Human-computer interaction (HCI)

KW - Quality assessment

KW - Quality model

KW - Self-adaptive systems (SAS)

UR - https://digibug.ugr.es/handle/10481/43050

UR - https://www.computer.org/csdl/proceedings/icedeg/2024/20Sh5oV1ni0

U2 - 10.1109/ICEDEG61611.2024.10702056

DO - 10.1109/ICEDEG61611.2024.10702056

M3 - Contribución a la conferencia

AN - SCOPUS:85208826456

SP - 1

EP - 7

BT - 10th International Conference on eDemocracy and eGovernment, ICEDEG 2024

A2 - Terán, Luis

A2 - Pincay, Jhonny

A2 - Vaca, Carmen

A2 - Riofrío, Daniel

PB - Institute of Electrical and Electronics Engineers Inc.

CY - Lucerne

T2 - 10th International Conference on eDemocracy and eGovernment, ICEDEG 2024

Y2 - 24 June 2024 through 26 June 2024

ER -

Àvila Fajardo JM, Quito Arévalo CP, Valdez Solis W, Cárdenas Delgado PE, Cedillo Orellana IP. A Method to Evaluate User-Centered Self-Adaptive Systems for Smart Environments. In Terán L, Pincay J, Vaca C, Riofrío D, editors, 10th International Conference on eDemocracy and eGovernment, ICEDEG 2024. Lucerne: Institute of Electrical and Electronics Engineers Inc. 2024. p. 1-7 doi: 10.1109/ICEDEG61611.2024.10702056

A Method to Evaluate User-Centered Self-Adaptive Systems for Smart Environments

Abstract

Conference

UN SDGs

Keywords

Access to Document

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