A Framework to Enhance User Experience of Older Adults With Speech-Based Intelligent Personal Assistants

Islam, Muhammad Usama; Chaudhry, Beenish Moalla

doi:10.1109/access.2022.3230151

Cited by 11 publications

(3 citation statements)

References 78 publications

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“…The usage of speech-based intelligent applications is one of the potential applications of emotion detection. This is explored in [20] where a study comprising semi structured interviews with fourteen older adults, investigates their interactions with speech-based intelligent personal assistants (sIPAs) and pinpoints usability barriers hindering their widespread adoption.…”

Section: Literature Reviewmentioning

confidence: 99%

Investigation of Imbalanced Sentiment Analysis in Voice Data: A Comparative Study of Machine Learning Algorithms

Shah,

Shetty

et al. 2024

ICST Transactions on Scalable Information Systems

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INTRODUCTION: Language serves as the primary conduit for human expression, extending its reach into various communication mediums like email and text messaging, where emoticons are frequently employed to convey nuanced emotions. In the digital landscape of long-distance communication, the detection and analysis of emotions assume paramount importance. However, this task is inherently challenging due to the subjectivity inherent in emotions, lacking a universal consensus for quantification or categorization.OBJECTIVES: This research proposes a novel speech recognition model for emotion analysis, leveraging diverse machine learning techniques along with a three-layer feature extraction approach. This research will also through light on the robustness of models on balanced and imbalanced datasets. METHODS: The proposed three-layered feature extractor uses chroma, MFCC, and Mel method, and passes these features to classifiers like K-Nearest Neighbour, Gradient Boosting, Multi-Layer Perceptron, and Random Forest.RESULTS: Among the classifiers in the framework, Multi-Layer Perceptron (MLP) emerges as the top-performing model, showcasing remarkable accuracies of 99.64%, 99.43%, and 99.31% in the Balanced TESS Dataset, Imbalanced TESS (Half) Dataset, and Imbalanced TESS (Quarter) Dataset, respectively. K-Nearest Neighbour (KNN) follows closely as the second-best classifier, surpassing MLP's accuracy only in the Imbalanced TESS (Half) Dataset at 99.52%.CONCLUSION: This research contributes valuable insights into effective emotion recognition through speech, shedding light on the nuances of classification in imbalanced datasets.

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Section: Literature Reviewmentioning

confidence: 99%

Investigation of Imbalanced Sentiment Analysis in Voice Data: A Comparative Study of Machine Learning Algorithms

Shah,

Shetty

et al. 2024

ICST Transactions on Scalable Information Systems

View full text Add to dashboard Cite

show abstract

“…In a similar vein, Human-Computer Interaction (HCI) is a discipline that concentrates on the design and assessment of interactive computing systems for human use [19,20]. The study of how people use computers, software and other digital devices, as well as how these systems can be made to better serve human requirements and tasks, are all included in this field [21] HCI focuses on developing technology that is user-friendly, straightforward and adaptable to a variety of users [22]. In this instance, HCI and assistive technology are closely related, given that HCI principles such as user-centred design, usability testing and iterative design are used in the design and evaluation of assistive technology.…”

Section: Introductionmentioning

confidence: 99%

“…In this instance, HCI and assistive technology are closely related, given that HCI principles such as user-centred design, usability testing and iterative design are used in the design and evaluation of assistive technology. In this case, usability testing is a key factor in evaluating assistive technology analysing factors such as learnability, effectiveness, efficiency and user experience [21,[23][24][25][26] to obtain a system that meets the needs of the end user.…”

Section: Introductionmentioning

confidence: 99%

Experimental Evaluation of EMKEY: An Assistive Technology for People with Upper Limb Disabilities

Zapata

Valencia-Aragón

Ramos-Galarza

2023

Sensors

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Assistive technology can help people with disabilities to use computers more effectively and can enable them to access the same information and resources as people without disabilities. To obtain more insight into the factors that can bring about the design of an Emulator of Mouse and Keyboard (EMKEY) to higher levels of user satisfaction, an experimental study was conducted in order to analyse its effectiveness and efficiency. The experimental study involved 27 participants (Mage = 20.81, SD = 1.14) who performed three experimental games under different conditions (using the mouse and using EMKEY with head movements and voice commands). According to the results, the use of EMKEY allowed for the successful performance of tasks such as matching stimuli (F (2, 78) = 2.39, p = 0.10, η2 = 0.06). However, the execution times of a task were found to be higher when using the emulator to drag an object on the screen (t (52, 1) = −18.45, p ≤ 0.001, d = 9.60). These results indicate the effectiveness of technological development for people with upper limb disabilities; however, there is room for improvement in terms of efficiency. The findings are discussed in relation to previous research and are based on future studies aimed at improving the operation of the EMKEY emulator.

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Learnability Assessment of Speech-Based Intelligent Personal Assistants by Older Adults

Islam

Chaudhry

2023

Lecture Notes in Computer Science

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A Framework to Enhance User Experience of Older Adults With Speech-Based Intelligent Personal Assistants

Cited by 11 publications

References 78 publications

Investigation of Imbalanced Sentiment Analysis in Voice Data: A Comparative Study of Machine Learning Algorithms

Investigation of Imbalanced Sentiment Analysis in Voice Data: A Comparative Study of Machine Learning Algorithms

Experimental Evaluation of EMKEY: An Assistive Technology for People with Upper Limb Disabilities

Learnability Assessment of Speech-Based Intelligent Personal Assistants by Older Adults

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