SigniFYI-CDN: merged communicability and usability methods to evaluate notation-intensive interaction
August 24, 2018 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Juliana Soares Jansen Ferreira, Clarisse Sieckenius de Souza, Rafael Rossi de Mello BrandΓ£o, Carla Faria LeitΓ£o
arXiv ID
1808.08138
Category
cs.HC: Human-Computer Interaction
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We present SigniFYI-CDN, an inspection method built from previously proposed methods combining Semiotic Engineering and the Cognitive Dimensions of Notations. Compared to its predecessors, SigniFYI-CDN simplifies procedural steps and supports them with more analytic scaffolds. It is especially fit for the study of interaction with technologies where notations are created and used by various people, or by a single person in various, and potentially distant, occasions. In such cases, notations may serve several purposes, like (mutual) comprehension, recall, coordination, negotiation, and documentation. We illustrate SigniFYI-CDN with highlights from the evaluation of a computer tool that supports qualitative data analysis. Our contribution is a simpler tool for researchers and practitioners to probe the power of combined communicability and usability analysis of interaction with increasingly complex data-intensive applications.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
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