Analisis Beban Kerja Mental terhadap Aplikasi dengan Antarmuka Cerdas

Penulis

Murein Miksa Mardhia, Choirul Bariyah

Abstrak

Penelitian ini mengeksplorasi tentang bagaimana korelasi penerapan kognitif ergonomi yang terdapat di beberapa implementasi antarmuka sebuah perangkat lunak maupun website. Antarmuka tersebut diimplementasikan dengan dukungan kecerdasan buatan sehingga tercipta fitur antarmuka yang cerdas atau Intelligent User Interface (IUI). Semakin cerdas fitur yang dipersembahkan lewat antarmuka, ekspektasi yang diharapkan adalah semakin rendah beban kerja mental yang dirasakan pengguna ketika melakukan pekerjaan. Bidang kognitif ergonomi akan dikaji dari segi bagaimana sisi kenyamanan user dalam hal proses mental berpikir saat menggunakan fitur IUI, khususnya yaitu bagaimana pengaruh jumlah informasi di suatu aplikasi berdampak pada sisi kenyamanan pengguna saat berinteraksi dengan antarmuka cerdas. Proses pengambilan data dan pengujian akan dilaksanakan melalui kuesioner yang dirujuk dari studi kognitif ergonomi dengan metode NASA-TLX. Hasil kajian berupa perbandingan hasil beban mental yang dirasakan pengguna saat melakukan interaksi dengan aplikasi yang sering digunakan sehari-hari untuk perkuliahan berdasarkan program studi yang ditekuni di UAD. Frekuensi kerja dengan aplikasi dan tingkat adaptasi teknologi juga diprediksi akan mempengaruhi beban kerja. Hasil akan divalidasi secara kualitatif dari pengujian user experience secara berkelompok.

 

Abstract

This study explores the correlation of cognitive ergonomic applications found in several interface implementations. The interfaces were implemented with the support of artificial intelligence to make it intelligent (Intelligent UI/IUI). The smarter the features provided through the interface, the expected cause is the lower the mental workload that users feel when doing work. The field of cognitive ergonomics will be examined in terms of how user feels convenience in terms of mental processes when using IUI features. The process of data collection and testing will be carried out through a questionnaire referenced from cognitive ergonomics studies using NASA-TLX method. The expected results of the study is a comparison of mental workload felt by users when interacting with applications that are often used daily for lectures based on the study program occupied at UAD. The frequency of work with applications and the level of technological adaptation are also predicted to affect workload. The results will be validated qualitatively from user experience testing in groups.


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Referensi


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