Projects per year
Annotated datasets of application GUIs contain a wealth of information that can be used for various purposes, from providing inspiration to designers and implementation details to developers to assisting end-users during daily use. However, users often struggle to formulate their needs in a way that computers can understand reliably. To address this, we study how people may interact with such GUI datasets using natural language. We elicit user needs in a survey (N = 120) with three target groups (designers, developers, end-users), providing insights into which capabilities would be useful and how users formulate queries. We contribute a labelled dataset of 1317 user queries, and demonstrate an application of a conversational assistant that interprets these queries and retrieves information from a large-scale GUI dataset. It can (1) suggest GUI screenshots for design ideation, (2) highlight details about particular GUI features for development, and (3) reveal further insights about applications. Our findings can inform design and implementation of intelligent systems to interact with GUI datasets intuitively.
|Title of host publication||DIS 2021 - Proceedings of the 2021 ACM Designing Interactive Systems Conference|
|Subtitle of host publication||Nowhere and Everywhere|
|Number of pages||11|
|Publication status||Published - 28 Jun 2021|
|MoE publication type||A4 Article in a conference publication|
|Event||ACM Conference on Designing Interactive Systems: Nowhere and Everywhere - Virtual, Online|
Duration: 28 Jun 2021 → 2 Jul 2021
|Conference||ACM Conference on Designing Interactive Systems|
|Period||28/06/2021 → 02/07/2021|
- Conversational assistants
FingerprintDive into the research topics of 'Conversations with GUIs'. Together they form a unique fingerprint.
01/09/2017 → 31/08/2020
Project: Academy of Finland: Other research funding