SEAug 1, 2017

Video as a By-Product of Digital Prototyping: Capturing the Dynamic Aspect of Interaction

arXiv:1708.00278v124 citations
Originality Incremental advance
AI Analysis

This addresses usability issues in software development for users and developers, but it is incremental as it builds on existing digital prototyping practices.

The paper tackles the problem of lost interaction knowledge in software development by proposing to capture events from digital prototypes to generate videos as a by-product, reducing effort compared to screencasts; a first evaluation showed these videos support faster understanding of textual scenarios compared to static mockups.

Requirements engineering provides several practices to analyze how a user wants to interact with a future software. Mockups, prototypes, and scenarios are suitable to understand usability issues and user requirements early. Nevertheless, users are often dissatisfied with the usability of a resulting software. Apparently, previously explored information was lost or no longer accessible during the development phase. Scenarios are one effective practice to describe behavior. However, they are commonly notated in natural language which is often improper to capture and communicate interaction knowledge comprehensible to developers and users. The dynamic aspect of interaction is lost if only static descriptions are used. Digital prototyping enables the creation of interactive prototypes by adding responsive controls to hand- or digitally drawn mockups. We propose to capture the events of these controls to obtain a representation of the interaction. From this data, we generate videos, which demonstrate interaction sequences, as additional support for textual scenarios. Variants of scenarios can be created by modifying the captured event sequences and mockups. Any change is unproblematic since videos only need to be regenerated. Thus, we achieve video as a by-product of digital prototyping. This reduces the effort compared to video recording such as screencasts. A first evaluation showed that such a generated video supports a faster understanding of a textual scenario compared to static mockups.

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