Individual trace in the Knowledge Space from a design perspective
Humankind is entering a new phase in its evolution through the emergence of digital tools used in cyberspace, industry and domestic life. The proliferation of Artificial Intelligence automating the collection, distribution, analysis and communication of data from business, utilities and social-media is machine learning with design processes now capable of functioning without reliance on human intervention. Cyber-physical systems now seamlessly interact via the Internet of Things (IoT), enabling humankind to enter a data driven knowledge period in its history that is reshaping the building blocks of the crucial social bonds in a collective society.
Together, human and machine, through collaboration and language in the form of algorithms, interacting with new technologies and constructing human and machine hybridity are augmenting both life-enhancing efficiencies and industry productivity. However, within Cyberspace, a new Knowledge Space of collective intelligence is emerging with a growing problem of data overload and the need for methods of data visualisation to make sense of the increasing lakes of raw unstructured data requiring context. It is here both in Cyberspace and our physical world that design can enable witness marks, log experience, build trust repair and develop mechanisms for society to function and grow.
Within the mass of data overload is the crucial individual’s trace in the Knowledge Space, a fundamental field especially from the perspective of Artificial Intelligence as a tool in the Internet of Things in context to the agency and productivity to be gained from a human-centred perspective. It is within the growing collective intelligence forming the Knowledge Space that my doctoral research seeks to intervene.
The significance for the research is that data overload is a problem for everyone coping with the mass of data harvests and the data available yet there appears to be an inability to use this massive opportunity and knowledge to support progress in increasing useful explorative outcomes or to explore new forms of interaction and information. Artificial Intelligence provides a possibility to gather information and help provide an individual trace, a surviving mark or trail of interaction within the Knowledge Space.
Disruptive approaches for enhancing engagement in online communities are changing dramatically to mobile online-users engaging with new forms of collaboration and interaction in mapping heightened functionality, capacity and productivity through data-driven experiences of the environments in which people inhabit. Consequently, there is a gap in knowledge and need for innovation in identifying smart and efficient forms of interaction design to explore an individual trace in the Knowledge Space approach to re-imagine, frame and prototype new models of design.
Commencing with a comprehensive assessment of the philosophy behind collective intelligence forming the Knowledge Space and IoT and Web 4.0 enhancing interaction through Artificial Intelligence and machine learning, this research will go on to consider what practices might have to gain from human and machine hybridity, thereby offering original insights into how interaction design and usability can be improved through the Individual trace in the Knowledge Space as a framework and visualisation tool.
The research methodology is a Mixed Methods approach utilising an Iterative Design Development Cycle. An ethnographic participatory approach for insights in user-experience will inform a cycle of development. Here, I am breaking down the research into co-design workshops that enable the building of prototypes to develop a communication toolkit. The toolkits are tested to elicit new forms of interactivity, construct imaginative interaction design and facilitate new forms of individual trace in the Knowledge Space. Both qualitative and quantitative feedback will inform further improvement cycles in a series of case studies. Thematic pattern analysis from findings will enable the research to sort, filter and re-structure new knowledge by mapping an organisational data hierarchy. This work will be designed to visualise the contextualised journeys of data which defines who passes data on to who, when and why… by clarifying and implementing the concept of ‘Trace’.
Key terms: Knowledge Space, Individual trace, Cyberspace, AI, Design.
School of Design
Global Innovation Design, 2016–
Design is a defining human achievement and the operating system of human understanding and advancement.
Damian Chapman has a lifelong ambition and dedication to Design education’s ability to profoundly change people’s lives and their future potential.
Evidenced in the unceasing creation and management of design educational policies at undergraduate and masters programmes at University of the Arts, London, University for the Creative Arts, University of West London and Kingston University.
Currently and in synchrony with being Kingston University's Head of Design School, Damian is engaged in doctoral research at the RCA in the School of Design. pursuing disruptive approaches to System design in search, retrieval, supply and delivery in UX and UiD in the form of 'Individual Trace in the Knowledge Space from a design driven perspective’ both as an approach and as a design prototyping process - supervised by Dr. Stephen Wang and Dr John Stevens.
Using a Human-centered approach, he is breaking down the corpus of the research into co-design phases. These will be created initially through ethnographic studies using a participatory approach building insights in use-case 'conversations'. These will build new knowledge and prototypes for interaction toolsets that in turn will be tested and applied to search and retrieval of individual trace in indigenous knowledge spaces.
Research includes; Trace: A crucial data visualisation method in Intelligent Manufacturing (KU/RCA 2018/9) Disruptive approaches in Learning UX (JISC 2018), Factors that hinder and enhance learning within online and digital contexts (RCA 2017). User-driven Design Strategies (LSFMD-UWL 2016) and Translating Medical Intervention via aloud-based Design Framework (ESADM-UWL 2015).
As a Design professional and working with long term colleague and friend Ian Forsyth, they have created numerous campaigns for advertising and design projects spanning 20 years – including fashion imagery to still-life, drinks and brand focused FMCG campaigns working with a range of international design agencies including: Allied International Designers, Design Bridge, Fitch, Landor, Siebert Head and Wolff Olins.
- MA Fine Art, Central Saint Martins College of Art and Design, University of the Arts London, 1999; PGCert Teaching, Learning & Communication, University of the Arts London, 2005; BA Hons Fine Art: Printmaking & Photomedia, Central Saint Martins College of Art and Design, University of the Arts London, 1996
- • Head of the Design School at KSA / Kingston University, London from 2018 to present; • Deputy Head of School / Head of Design: London School of Film, Media & Design, University of West London, 2013 to 2018; • Design Consultant: UX & UI Specialist, STEM Research Collaboration between Eamus Halpin at Horizon Strategic Partners, Southampton University’s Complete Fertility Unit in the Department of Medicine and Cardiff University’s School of Psychology, 2014–15; • MA Programme Leader for Epsom Campus, University for the Creative Arts 2007–13; • MA Coordinator: PGT Design & Comms Portfolio, Farnham Campus, University for the Creative Arts, 2005–7; • Art Director/Photographer/Designer, IFD Studio, 1987–2007; • Pathway Leader, PGC in Fine Art: Printmaking, Central Saint Martins College Of Art and Design, University of the Arts London 2003–5
- (2016) Damian Chapman and Mark Owen, 'User-driven Design Strategies', London School of Film, Media and Design Research and Doctoral Symposium; (2015) 'Translating Medical Intervention via a Cloud-based Design Framework', Ealing School of Art, Design & Media Symposium; (2013) Chair & Producer, ‘Seeds’ PG Symposium at University for the Creative Arts, Epsom; (2013) "Leveraging the fuzzy front end: Encouraging radical innovation", 7th International Conference on Design Principles & Practices, Chiba University in Japan, with Dr Cameron Watt, Damian Chapman & Waris Misbah. Radical Innovation; (2012) 'Customer Value and Lean Operations in Masters Education', with Dr Cameron Watt, Jannis Angelis and Damian Chapman.; (2012) 'An Enterprise Intervention in Arts Education – the Creative Challenge' with Uwe Derksen and Damian Chapman, The European League of Institutes of the Arts: Teachers’ Academy Porto, Portugal; (2012) 'Added Value: Informing Employability and Entrepreneurship Through PDP Research in the Creative Industries', UCA Learning & Teaching Conference, British Library; (2011) 'A Service Approach To Course Development' with Dr Cameron. Watt, Dr Philip Ely & Damian Chapman, The International Conference on Engineering and Product Design Education, City University, London; (2011) “Research, What's in it for You?', UCA Learning & Teaching Conference, British Library, London