Intelligent Interactive Multimedia Systems in Practice: An Introduction

Tsihrintzis, George A.; Virvou, Maria; Favorskaya, Margarita N.; Jain, Lakhmi C.

doi:10.1007/978-3-319-17744-1_1

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…Artificial Intelligence (AI) has been a driving force behind significant technological advancements that leverage big data, real-time computer communication via the Internet and the Internet of Things, and the vast accumulation of user input through sources like social media, search engines, and handheld devices [1][2][3][4][5][6][7]. Artificial Intelligence (AI) has numerous applications across different domains including healthcare, banking and finance, retail and product recommendations, education, energy, media and entertainment and many other domains [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art

Virvou¹

2023

IDT

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Among the primary aims of Artificial Intelligence (AI) is the enhancement of User Experience (UX) by providing deep understanding, profound empathy, tailored assistance, useful recommendations, and natural communication with human interactants while they are achieving their goals through computer use. To this end, AI is used in varying techniques to automate sophisticated functions in UX and thereby changing what UX is apprehended by the users. This is achieved through the development of intelligent interactive systems such as virtual assistants, recommender systems, and intelligent tutoring systems. The changes are well received, as technological achievements but create new challenges of trust, explainability and usability to humans, which in turn need to be amended by further advancements of AI in reciprocity. AI can be utilised to enhance the UX of a system while the quality of the UX can influence the effectiveness of AI. The state of the art in AI for UX is constantly evolving, with a growing focus on designing transparent, explainable, and fair AI systems that prioritise user control and autonomy, protect user data privacy and security, and promote diversity and inclusivity in the design process. Staying up to date with the latest advancements and best practices in this field is crucial. This paper conducts a critical analysis of published academic works and research studies related to AI and UX, exploring their interrelationship and the cause-effect cycle between the two. Ultimately, best practices for achieving a successful interrelationship of AI in UX are identified and listed based on established methods or techniques that have been proven to be effective in previous research reviewed.

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Section: Introductionmentioning

confidence: 99%

Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art

Virvou¹

2023

IDT

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“…For this reason, they need to be interactive not only through classical modes of interaction where a user inputs information through a keyboard or mouse, but also through advanced interaction modes which are more attractive, more user friendly, more human-like and more informative [9].…”

Section: Introductionmentioning

confidence: 99%

Advanced signal processing and HCI issues for interactive multimedia services

Rho

Sauveron

Chen

2013

Multimed Tools Appl

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“…The cornerstone of this model is the object-oriented programming paradigm that represents data structures as objects (classes) with different attributes, " The basic idea behind OOP is the combination of data and the functions that operate on that data into one single entity " [24].…”

Section: Object Oriented Representation Modelmentioning

confidence: 99%

Survey of Health Care Context models; prototyping of healthcare context framework

2016

2016 Summer Computer Simulation Conference (SCSC 2016)

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HealthCare system is considered a key element in ubiquitous computing, which means health care services are recommended at any time and at any places to monitor patients based on their context. This study aims to define a simple framework that could be guidelines when you start thinking about building a health context-awareness system in ubiquitous environment. This paper starts by defining the concept of context and then presenting a comprehensive list of context models. Outcome of the work of this research is an ontology healthcare model based on current context of patient which makes monitoring process more accurate. This study includes an Android application in order to prove the concept of this hypothesis.

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Intelligent Interactive Multimedia Systems in Practice: An Introduction

Cited by 4 publications

References 13 publications

Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art

Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art

Advanced signal processing and HCI issues for interactive multimedia services

Survey of Health Care Context models; prototyping of healthcare context framework

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