Paper Info
Title
Increasing users' trust on personal assistance software using a domain-neutral high-level user model
Abstract
People delegate tasks only if they trust the one that is going to execute them, who can be a person or a system. Current approaches mostly focus on creating methods (elicitation approaches or learning algorithms) that aim at increasing the accuracy of (internal) user models. However, the existence of a chance of a method giving a wrong answer decreases users' trust on software systems, thus preventing the task delegation. We aim at increasing users' trust on personal assistance software based on agents by exposing a high-level user model to users, which brings two main advantages: (i) users are able to understand and verify how the system is modeling them (transparency); and (ii) it empowers users to control and make adjustments on their agents. This paper focuses on describing a domain-neutral user metamodel, which allows instantiating high-level user models with configurations and preferences. In addition, we present a two-level software architecture that supports the development of systems with high-level user models and a mechanism that keeps this model consistent with the underlying implementation.
Year
DOI
Venue
2010
10.1007/978-3-642-16558-0_40
ISoLA (1)
Keywords
Field
DocType
people delegate task,software system,domain-neutral high-level user model,main advantage,two-level software architecture,high-level user model,elicitation approach,domain-neutral user metamodel,current approach,personal assistance software,user model,software systems,software architecture
User analysis,World Wide Web,Computer science,Software system,User modeling,Software architecture,Delegation,User agent,User requirements document,User journey
Conference
Volume
ISSN
ISBN
6415
0302-9743
3-642-16557-5
Citations 
PageRank 
References 
2
0.38
9
Authors
3
Name
Order
Citations
PageRank
Ingrid Nunes119829.38
Simone D. J. Barbosa239144.90
Carlos J. P. de Lucena333231.61