Paper Info
Title
Explainability scenarios: towards scenario-based XAI design
Abstract
Integral to the adoption and uptake of AI systems in real-world settings is the ability for people to make sense of and evaluate such systems, a growing area of development and design efforts known as XAI (Explainable AI). Recent work has advanced the state of the art, yet a key challenge remains in understanding unique requirements that might arise when XAI systems are deployed into complex settings of use. In helping envision such requirements, this paper turns to scenario-based design, a method that anticipates and leverages scenarios of possible use early on in system development. To demonstrate the value of the scenario-based design method to XAI design, this paper presents a case study of aging-in-place monitoring. Introducing the concept of "explainability scenarios" as resources in XAI design, this paper sets out a forward-facing agenda for further attention to the emergent requirements of explainability-in-use.
Year
DOI
Venue
2019
10.1145/3301275.3302317
Proceedings of the 24th International Conference on Intelligent User Interfaces
Keywords
Field
DocType
XAI, aging-in-place, explainability scenarios, scenario-based design
Computer science,Human–computer interaction,System development,Aging in place,Scenario based design
Conference
ISBN
Citations 
PageRank 
978-1-4503-6272-6
2
0.38
References 
Authors
25
1
Name
Order
Citations
PageRank
Christine T. Wolf1406.23