Intelligence and Usability Empowerment of Smartphone Adaptive Features

In adaptivity, the interface of the device automatically adjusts and assists the user. The adaptive user interfaces can adapt their activities by monitoring user status, the state of the system, and the current situation according to the adaptation strategy. Usually, the intensity of adaptation is m...

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Bibliographic Details
Published in:Applied sciences 2022-12, Vol.12 (23), p.12245
Main Authors: Alghamdi, Ahmed Mohammed, Riasat, Hafsa, Iqbal, Muhammad Waseem, Ashraf, Muhammad Usman, Alshahrani, Abdullah, Alshamrani, Adel
Format: Article
Language:English
Subjects:
Adaptation
adaptiveness
adaptivity
Biometric recognition systems
Cellular telephones
Consumers
Empowerment
Evaluation
Experimentation
Face recognition
Gesture recognition
Global positioning systems
GPS
Intelligence
Interfaces
Keyboards
Light emitting diodes
Operating systems
Pattern recognition
smartphone
Smartphones
UI/UX
Usability
User experience
User interface
User-centered design
Voice recognition
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Summary:In adaptivity, the interface of the device automatically adjusts and assists the user. The adaptive user interfaces can adapt their activities by monitoring user status, the state of the system, and the current situation according to the adaptation strategy. Usually, the intensity of adaptation is measured in effectiveness, efficiency, and satisfaction to analyze the smartphone’s adaptive features. The adaptive features of light-emitting diode (LED) notifications, voice commands, face recognition, screen rotation, kid mode, drive mode, night mode, Swift Keyboard, s-health, gesture recognition, and fingerprint are selected for both iOS and Android platforms. Task completion within a specific time frame is used to measure effectiveness and efficiency, while satisfaction is calculated using the after-scenario questionnaire (ASQ). A total of 550 users are involved in the experimentation. The usability evaluation is measured for smartphone features. The effectiveness of adaptive features contains higher adaptivity in face recognition (87%) and voice command (85%). Furthermore, the satisfaction level is greater for adaptive features than non-adaptive features. This study indicates that adaptive features can only be used after a thorough examination of the user’s context. Furthermore, the usability evaluation shows that there is a dire need for adaptive smartphone features to provide ease and satisfaction to the user.
ISSN:2076-3417
2076-3417
DOI:10.3390/app122312245