1.
Bednar, Peter, et al.
(author)
Personalized Support with ‘Little’ Data
2014
In: Creating Value for All Through IT. IFIP WG 8.6 International Conference on Transfer and Diffusion of IT, TDIT 2014, Aalborg, Denmark, June 2-4, 2014. Proceedings. - 1868-4238. - 9783662434581 ; 429, s. 355-358
Book chapter (peer-reviewed) abstract
In this paper we look at opportunities to support the creation of value for all through the use of end-user-owned Virtual Personal Assistant. We use a chat-bot as example of technology with a possibility for transferring and diffusing new functionality, features and capabilities. This category of software can create potential value through its AI and natural language processing combined with emulation and imitation of emotional engagement which is personal, private and as such allows for intimate contextual relevance to be developed.
2.
Bednar, Peter, et al.
(author)
Supporting Business Decision-making: One Professional at a Time
2014
In: DSS 2.0 – Supporting Decision Making with New Technologies. - 9781614993988 - 9781614993995 ; 261, s. 471-482
Book chapter (peer-reviewed) abstract
This paper discusses the potential for personalized, user-owned decision-support systems. It can be readily seen that there are benefits from analysis of ‘Big Data’ that could not be attained through more traditional means, e.g. insurance and credit card fraud can be detected more readily when it is possible to analyze integrated data across multiple servers owned and controlled by separate organizations. However, high-level data analysis, though useful, cannot be trusted to provide all the answers to organizational ‘questions’. Individuals need to be able to inform themselves in complex decision situations and for this purpose there can be no substitute for ‘little data’ from wherever this is to be drawn. We explore a potential type of support that could overcome the barriers to professional creativity arising through lack of trust in decision-support systems owned and controlled from senior management. The Virtual Personal Assistant described uses natural language processing to interact with a professional user in the context of messy, situated problems, and in private. It has capability to learn from user-interactions and therefore to co-evolve contextually. A ‘little data’ system such as this can therefore help to improve relevance of user understandings in a relatively risk free environment.
3.
4.
Imrie, Peter, et al.
(author)
Virtual Personal Assistant
2013
In: ItAIS 2013. Proceedings of 10th Conference of the Italian Chapter of AIS. - 9788866850076
Conference paper (peer-reviewed) abstract
Abstract This report discusses ways in which new technology could be harnessed to create an intelligent Virtual Personal Assistant (VPA) with a focus on user-based information. It will look at examples of intelligent programs with natural language processing that are currently available, with different categories of support, and examine the potential usefulness of one specific piece of software as a VPA. This engages the ability to communicate socially through natural language processing, holding (and analysing) information within the context of the user. It is suggested that new technologies may soon make the idea of virtual personal assistants a reality. Experiments conducted on this system, combined with user testing, have provided evidence that a basic program with natural language processing algorithms in the form of a VPA, with basic natural language processing and the ability to function without the need for other type of human input (or programming) may already be viable.
