Abstract
| 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 | |
| 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 |
Fingerprint
Keywords
- Big Data
- Data Visualization
- Dynamic
- Adaptive
- Intelligent
- User Experience
- Parameters
- Machine Learning
- Human Computer Interaction
- Data science
- Data Science
Cite this
}
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
TY - GEN
T1 - A Framework for the Development of a Dynamic Adaptive Intelligent User Interface to Enhance the User Experience
AU - Johnston, Vivien
AU - Black, Michaela
AU - Wallace, J. G.
AU - Mulvenna, Maurice
AU - Bond, RR
PY - 2019/9/10
Y1 - 2019/9/10
N2 - 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.
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
UR - https://dl.acm.org/event.cfm?id=RE254
UR - http://www.scopus.com/inward/record.url?scp=85073167984&partnerID=8YFLogxK
U2 - 10.1145/3335082.3335125
DO - 10.1145/3335082.3335125
M3 - Conference contribution
T3 - ICPS
SP - 32
EP - 35
BT - ECCE 2019 - Proceedings of the 31st European Conference on Cognitive Ergonomics
A2 - Mulvenna, Maurice
A2 - Bond, Raymond
CY - New York, NY, USA
ER -