A Framework for the Development of a Dynamic Adaptive Intelligent User Interface to Enhance the User Experience

Vivien Johnston; Michaela Black; J. G. Wallace; Maurice Mulvenna; RR Bond

doi:10.1145/3335082.3335125

A Framework for the Development of a Dynamic Adaptive Intelligent User Interface to Enhance the User Experience

Vivien Johnston, Michaela Black, J. G. Wallace, Maurice Mulvenna, RR Bond

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The aim of this paper is to present PhD research that aims to enhance the User Experience by proposing a framework that combines the three core components of: dynamic interfaces; adaptive interfaces; and intelligent interfaces. Initial research into the field has identified a gap at the intersection of these types of interaction. A dynamic interaction understands the user, their device and their physical environment to provide a basic User Experience. An adaptive interaction understands the user's capabilities further to implement an enhanced experience via usability and accessibility whilst recognising the flow of the user and their pipeline. The intelligent interaction builds further upon this through the incorporation of Machine Learning algorithms that assist in making the interface intelligent and provide a personalised experience for each user based upon their end goal. This in turn will reduce a user's cognitive load and enhance their interactive experience with an interface.

Original language	English
Title of host publication	ECCE 2019 - Proceedings of the 31st European Conference on Cognitive Ergonomics
Subtitle of host publication	''Design for Cognition''
Editors	Maurice Mulvenna, Raymond Bond
Place of Publication	New York, NY, USA
Pages	32-35
Number of pages	4
ISBN (Electronic)	978-1-4503-7166-7
DOIs	https://doi.org/10.1145/3335082.3335125
Publication status	Published - 10 Sep 2019
Event	31st European Conference on Cognitive Ergonomics: Design for Cognition - Belfast, United Kingdom Duration: 10 Sep 2019 → 13 Sep 2019 https://www.ulster.ac.uk/conference/european-conference-on-cognitive-ergonomics

Publication series

Name	ICPS
Publisher	ACM

Conference

Conference	31st European Conference on Cognitive Ergonomics
Abbreviated title	ECCE 2019
Country	United Kingdom
City	Belfast
Period	10/09/19 → 13/09/19
Internet address	https://www.ulster.ac.uk/conference/european-conference-on-cognitive-ergonomics

Fingerprint

Keywords

Big Data
Data Visualization
Dynamic
Adaptive
Intelligent
User Experience
Parameters
Machine Learning
Human Computer Interaction
Data science
Data Science

Cite this

Johnston, V., Black, M., Wallace, J. G., Mulvenna, M., & Bond, RR. (2019). A Framework for the Development of a Dynamic Adaptive Intelligent User Interface to Enhance the User Experience. In M. Mulvenna, & R. Bond (Eds.), ECCE 2019 - Proceedings of the 31st European Conference on Cognitive Ergonomics: ''Design for Cognition'' (pp. 32-35). (ICPS). New York, NY, USA. https://doi.org/10.1145/3335082.3335125

Johnston, Vivien ; Black, Michaela ; Wallace, J. G. ; Mulvenna, Maurice ; Bond, RR. / A Framework for the Development of a Dynamic Adaptive Intelligent User Interface to Enhance the User Experience. ECCE 2019 - Proceedings of the 31st European Conference on Cognitive Ergonomics: ''Design for Cognition''. editor / Maurice Mulvenna ; Raymond Bond. New York, NY, USA, 2019. pp. 32-35 (ICPS).

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abstract = "The aim of this paper is to present PhD research that aims to enhance the User Experience by proposing a framework that combines the three core components of: dynamic interfaces; adaptive interfaces; and intelligent interfaces. Initial research into the field has identified a gap at the intersection of these types of interaction. A dynamic interaction understands the user, their device and their physical environment to provide a basic User Experience. An adaptive interaction understands the user's capabilities further to implement an enhanced experience via usability and accessibility whilst recognising the flow of the user and their pipeline. The intelligent interaction builds further upon this through the incorporation of Machine Learning algorithms that assist in making the interface intelligent and provide a personalised experience for each user based upon their end goal. This in turn will reduce a user's cognitive load and enhance their interactive experience with an interface.",

keywords = "Big Data, Data Visualization, Dynamic, Adaptive, Intelligent, User Experience, Parameters, Machine Learning, Human Computer Interaction, Data science, Data Science",

author = "Vivien Johnston and Michaela Black and Wallace, {J. G.} and Maurice Mulvenna and RR Bond",

year = "2019",

month = "9",

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doi = "10.1145/3335082.3335125",

language = "English",

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Johnston, V , Black, M , Wallace, JG , Mulvenna, M & Bond, RR 2019, A Framework for the Development of a Dynamic Adaptive Intelligent User Interface to Enhance the User Experience. in M Mulvenna & R Bond (eds), ECCE 2019 - Proceedings of the 31st European Conference on Cognitive Ergonomics: ''Design for Cognition''. ICPS, New York, NY, USA, pp. 32-35, 31st European Conference on Cognitive Ergonomics, Belfast, United Kingdom, 10/09/19. https://doi.org/10.1145/3335082.3335125

A Framework for the Development of a Dynamic Adaptive Intelligent User Interface to Enhance the User Experience. / Johnston, Vivien ; Black, Michaela ; Wallace, J. G.; Mulvenna, Maurice ; Bond, RR.

ECCE 2019 - Proceedings of the 31st European Conference on Cognitive Ergonomics: ''Design for Cognition''. ed. / Maurice Mulvenna; Raymond Bond. New York, NY, USA, 2019. p. 32-35 (ICPS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - A Framework for the Development of a Dynamic Adaptive Intelligent User Interface to Enhance the User Experience

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AB - The aim of this paper is to present PhD research that aims to enhance the User Experience by proposing a framework that combines the three core components of: dynamic interfaces; adaptive interfaces; and intelligent interfaces. Initial research into the field has identified a gap at the intersection of these types of interaction. A dynamic interaction understands the user, their device and their physical environment to provide a basic User Experience. An adaptive interaction understands the user's capabilities further to implement an enhanced experience via usability and accessibility whilst recognising the flow of the user and their pipeline. The intelligent interaction builds further upon this through the incorporation of Machine Learning algorithms that assist in making the interface intelligent and provide a personalised experience for each user based upon their end goal. This in turn will reduce a user's cognitive load and enhance their interactive experience with an interface.

KW - Big Data

KW - Data Visualization

KW - Dynamic

KW - Adaptive

KW - Intelligent

KW - User Experience

KW - Parameters

KW - Machine Learning

KW - Human Computer Interaction

KW - Data science

KW - Data Science

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Johnston V , Black M , Wallace JG , Mulvenna M , Bond RR. A Framework for the Development of a Dynamic Adaptive Intelligent User Interface to Enhance the User Experience. In Mulvenna M, Bond R, editors, ECCE 2019 - Proceedings of the 31st European Conference on Cognitive Ergonomics: ''Design for Cognition''. New York, NY, USA. 2019. p. 32-35. (ICPS). https://doi.org/10.1145/3335082.3335125

Access to Document

10.1145/3335082.3335125

Research Output

ECCE 2019 - Proceedings of the 31st European Conference on Cognitive Ergonomics: "Design for Cognition"

Research output: Book/Report › Book

A Framework for the Development of a Dynamic Adaptive Intelligent User Interface to Enhance the User Experience

Abstract

Publication series

Conference

Fingerprint

Keywords

Cite this

Access to Document

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Research Output

ECCE 2019 - Proceedings of the 31st European Conference on Cognitive Ergonomics: "Design for Cognition"