Citation

Venkidasalam, Puvana and Alshawa, Amna Hatem and Lim, Tek Yong and Luo, Zhiqiang (2025) Interaction Design in AI Applications: A Systematic Review. In: 2025 14th International Conference on Software and Computer Applications, ICSCA 2025, 20 February 2025 - 23 February 2025, Kuala Lumpur, Malaysia.

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Abstract

Despite the availability of Artificial Intelligence applications across different domains, persistent usability challenges have hindered their effectiveness and user adoption. This systematic review investigates the role of interaction design in enhancing the usability and user experience of Artificial Intelligence applications. This analysis yielded three key findings. First, integration & interaction, learning, and communication are the primary Artificial Intelligence domains that leverage interaction design research to ensure user-centric and efficient applications. Second, Artificial Intelligence techniques such as hybridization, searching, and optimization are widely adopted to address multifaceted challenges. Finally, mixed methods have emerged as the most versatile user experience evaluation approach, integrating quantitative and qualitative techniques to provide comprehensive insights into Artificial Intelligence applications. These results offer a holistic framework for Artificial Intelligence practitioners and designers to develop intuitive and robust applications while addressing gaps in the field.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Artificial Intelligence, human-computer Interaction
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Nurin Syazwani Azmi
Date Deposited:	03 Dec 2025 08:11
Last Modified:	03 Dec 2025 08:11
URII:	http://shdl.mmu.edu.my/id/eprint/14947

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