Stakeholder Involvement: A Success Factor for Achieving Better UX Integration
October 15, 2016 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Pariya Kashfi, Kati Kuusinen, Robert Feldt
arXiv ID
1610.04774
Category
cs.SE: Software Engineering
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Stakeholder involvement is one of the major success factors in integrating user experience (UX) practices into software development processes and organizations. It is also a necessity for agile software development. However, practitioners still have limited access to guidelines on successful involvement of UX stakeholders in agile settings. Moreover, agile UX literature does not well address the specific characteristics of UX and it does not clearly differentiate between UX and usability work. This paper presents two guidelines for supporting stakeholder involvement in both UX integration and the daily UX work. In particular, we focus on the special characteristics of UX: being dynamic, subjective, holistic, and context-dependent. The guidelines clarify practical implications of these characteristics for practitioners. In addition, they can help researchers in addressing these characteristics better in agile UX research.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Software Engineering
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Microservices: yesterday, today, and tomorrow
π
π
The Cartographer
A Survey of Machine Learning for Big Code and Naturalness
R.I.P.
π»
Ghosted
An Overview on Smart Contracts: Challenges, Advances and Platforms
R.I.P.
π»
Ghosted
Slither: A Static Analysis Framework For Smart Contracts
R.I.P.
π»
Ghosted
ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted