User Experience and Interaction in Information Applications: Advanced Human-Machine Interfaces

User Experience and Interaction in Information Applications: Advanced Human-Machine Interfaces

ISBN13: 9798369317464|ISBN13 Softcover: 9798369344897|EISBN13: 9798369317471
DOI: 10.4018/979-8-3693-1746-4.ch011
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MLA

Reepu, and Sanjay Taneja. "User Experience and Interaction in Information Applications: Advanced Human-Machine Interfaces." Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization, edited by Amandeep Singh, et al., IGI Global, 2024, pp. 197-206. https://doi.org/10.4018/979-8-3693-1746-4.ch011

APA

Reepu & Taneja, S. (2024). User Experience and Interaction in Information Applications: Advanced Human-Machine Interfaces. In A. Singh, S. Taneja, & P. Kumar (Eds.), Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization (pp. 197-206). IGI Global. https://doi.org/10.4018/979-8-3693-1746-4.ch011

Chicago

Reepu, and Sanjay Taneja. "User Experience and Interaction in Information Applications: Advanced Human-Machine Interfaces." In Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization, edited by Amandeep Singh, Sanjay Taneja, and Pawan Kumar, 197-206. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-1746-4.ch011

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Abstract

This chapter aims to explore the advancements and potential of human-machine interfaces (HMIs) in improving user experience and interaction in information applications. With the proliferation of digital technologies and the increasing reliance on information systems, the design and usability of interfaces play a critical role in enhancing user engagement and effectiveness. This chapter investigates the latest developments in HMIs, such as natural language processing, gesture recognition, augmented reality, and virtual reality, and examines their impact on information applications across various domains. It also highlights the challenges and opportunities associated with implementing advanced HMIs and provides recommendations for optimizing user experience and interaction. The findings of this research contribute to the understanding of how information applications can leverage advanced HMIs to deliver seamless and intuitive user interfaces that enhance productivity, accessibility, and overall user satisfaction.

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