User Experience and Recommender Systems

Champiri, Zohreh Dehghani; Mujtaba, Ghulam; Salim, Siti Salwah; Chong, Chun Yong

doi:10.1109/icomet.2019.8673410

Cited by 17 publications

(8 citation statements)

References 33 publications

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“…The quality of the application can be reflected in the user experience (UX) [2], so this phenomenon is captured by researchers in the field of IS to develop service products to measure UX through non-tax revenues (PNBP) funding which become the flagship product of the TEFA JTI Innovation pilot, Information Technology Department. Several studies related to UX were conducted by [3][4][5].…”

Section: Related Workmentioning

confidence: 99%

“…This condition is of course also found in institutions and also industry, so this condition causes problems related to the quality of applications, especially those used to provide services. The quality of the application can be reflected in the user experience (UX) [2], so this phenomenon is captured by researchers in the field of IS to develop service products to measure UX through non-tax revenues (PNBP) funding which will then become the flagship product of the TEFA JTI Innovation pilot, Information Technology Department. Several studies related to UX were conducted by [3][4] [5], and focused on UX analysis on websites, while research [6] on graphics-based applications and research [7][8] [9] used an intelligent approach to perform UX analysis.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Eye Tracking Usability Testing Using User-Centered Design Analysis Method

Agustianto¹,

Utomo²,

Ayuninghemi³

et al. 2022

Proceedings of the 2nd International Conference on Social Science, Humanity and Public Health (ICOSHIP 2021)

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The interaction between humans and computers has entered a new phase, where modern humans can no longer be separated from computers in their daily lives. This interaction raises a new topic of discussion, namely Human-Computer Interaction (HCI). HCI is the intersection of cultural, social, cognitive, and aesthetic with computing and information technology. It covers a large number of problems, theories, technologies, designs, tools, environments, and human experiences in knowledge work, leisure and leisure activities, teaching and learning, and the anthology of everyday life. This study aimed to develop Eye Tracking Usability Testing System Development Using User-Centered Design Analysis Method. This study used a Tobii Eye Tracking sensor which was extracted and used as input to the GOM method. The results of this study were applications that could analyze the quality of interaction from users to website applications with a reading accuracy rate of 88%, especially in service applications, so that they could be used to make application improvements to improve services.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Eye Tracking Usability Testing Using User-Centered Design Analysis Method

Agustianto¹,

Utomo²,

Ayuninghemi³

et al. 2022

Proceedings of the 2nd International Conference on Social Science, Humanity and Public Health (ICOSHIP 2021)

View full text Add to dashboard Cite

show abstract

“…To enhance UX, manufacturing companies should consider the factors intrinsic to these motivators, such as the system's ability to facilitate intuitive and rapid task completion, as well as its capacity to anticipate user needs. The latter is closely linked to the user's cognitive capacity, affecting the memory required to complete a task [5].…”

Section: Introductionmentioning

confidence: 99%

Exploring the transformation of user interactions to Adaptive Human-Machine Interfaces

Carrera-Rivera,

Reguera-Bakhache,

Larrinaga

et al. 2023

XXIII International Conference on Human Computer Interaction

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Human-machine interfaces (HMI) facilitate communication between humans and machines, and their importance has increased in modern technology. However, traditional HMIs are often static and do not adapt to individual user preferences or behavior. Adaptive User Interfaces (AUIs) have become increasingly important in providing personalized user experiences. Machine learning techniques have gained traction in User Experience (UX) research to provide smart adaptations that can reduce user cognitive load. This paper presents an ongoing exploration of a method for generating adaptive user interfaces by analyzing user interactions and contextual data. It also provides an illustrative example using Markov chains to predict the next step for users interacting with an app for an industrial mixing machine. Furthermore, the paper conducts an offline evaluation of the approach, focusing on the precision of the recommendations. The study emphasizes the importance of incorporating user interactions and contextual data into the design of adaptive HMIs, while acknowledging the existing challenges and potential benefits.

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“…Therefore, featuring an appropriate Recommender System (RS) is essential to improve the User Experience (UX) of a digital music platform [20]. Typically, recommender systems use standard information (i.e., artist's name, album, or music title) as seeds to select and suggest songs.…”

Section: Introductionmentioning

confidence: 99%