Conversations with GUIs

Kashyap Todi, Luis A. Leiva, Daniel Buschek, Pin Tian, Antti Oulasvirta

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Abstract

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.

Original languageEnglish
Title of host publicationDIS 2021 - Proceedings of the 2021 ACM Designing Interactive Systems Conference
Subtitle of host publicationNowhere and Everywhere
PublisherACM
Pages1447-1457
Number of pages11
ISBN (Electronic)9781450384766
DOIs
Publication statusPublished - 28 Jun 2021
MoE publication typeA4 Article in a conference publication
EventACM Conference on Designing Interactive Systems: Nowhere and Everywhere - Virtual, Online
Duration: 28 Jun 20212 Jul 2021

Conference

ConferenceACM Conference on Designing Interactive Systems
CityVirtual, Online
Period28/06/202102/07/2021

Keywords

  • Chatbots
  • Conversational assistants
  • Dataset
  • GUI
  • NLP
  • NLU

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