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Suryakant Tyagi and Sándor Szénási
Machine learning and speech emotion recognition are rapidly evolving fields, significantly impacting human-centered computing. Machine learning enables computers to learn from data and make predictions, while speech emotion recognition allows computers t...
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Konstantinos-Hercules Kokkinidis, Georgios Patronas, Sotirios K. Goudos, Theodoros Maikantis and Nikolaos Nikolaidis
The purpose of this study is to examine the impact of educational software characteristics on software performance through the mediating role of user acceptance. Our approach allows for a deeper understanding of the factors that contribute to the effecti...
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Md Whaiduzzaman, Adnan Sakib, Nisha Jaman Khan, Sudipto Chaki, Labiba Shahrier, Sudipto Ghosh, Md. Saifur Rahman, Md. Julkar Nayeen Mahi, Alistair Barros, Colin Fidge, Scott Thompson-Whiteside and Tony Jan
This paper delves into the complex task of evaluating a website user interface (UI) and user experience (UX), a process complicated by gaps in research. To bridge this, we introduced an innovative human?computer interaction (HCI) framework that synergize...
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Abdul Wali, Saipunidzam Mahamad and Suziah Sulaiman
As technological advancements increase exponentially, mobile phones become smarter with machine learning and artificial intelligence algorithms. These advancements have allowed mobile phone users to perform most of their daily routine tasks on mobile pho...
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Damián Keller, Azeema Yaseen, Joseph Timoney, Sutirtha Chakraborty and Victor Lazzarini
We introduce a new perspective for musical interaction tailored to a specific class of sonic resources: impact sounds. Our work is informed by the field of ubiquitous music (ubimus) and engages with the demands of artistic practices. Through a series of ...
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Zhi Chen, Shuai Zhang, Sally McClean, Fionnuala Hart, Michael Milliken, Brahim Allan and Ian Kegel
Human-Computer Interaction (HCI) research has extensively employed eye-tracking technologies in a variety of fields. Meanwhile, the ongoing development of Internet Protocol TV (IPTV) has significantly enriched the TV customer experience, which is of grea...
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Xiao Xu, Xuehan Zhang, Zhongxu Bao, Xiaojie Yu, Yuqing Yin, Xu Yang and Qiang Niu
Hand gesture recognition is an essential Human?Computer Interaction (HCI) mechanism for users to control smart devices. While traditional device-based methods support acceptable recognition performance, the recent advance in wireless sensing could enable...
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Maxim Bakaev, Sebastian Heil and Martin Gaedke
Training data for user behavior models that predict subjective dimensions of visual perception are often too scarce for deep learning methods to be applicable. With the typical datasets in HCI limited to thousands or even hundreds of records, feature-bas...
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Diba Das, Mehdi Hasan Chowdhury, Aditta Chowdhury, Kamrul Hasan, Quazi Delwar Hossain and Ray C. C. Cheung
The electrooculogram (EOG) is one of the most significant signals carrying eye movement information, such as blinks and saccades. There are many human?computer interface (HCI) applications based on eye blinks. For example, the detection of eye blinks can...
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Hossein Shahverdi, Mohammad Nabati, Parisa Fard Moshiri, Reza Asvadi and Seyed Ali Ghorashi
Human Activity Recognition (HAR) has been a popular area of research in the Internet of Things (IoT) and Human?Computer Interaction (HCI) over the past decade. The objective of this field is to detect human activities through numeric or visual representa...
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