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University of Illinois at Urbana-Champaign

Interaction mining mobile apps

Abstract

dc:description

Millions of mobile apps are used by billions of users every day. Although the design of these apps play an important role in their adoption, the design process still remains complex and time intensive. At the same time, existing apps embody multiple solutions to numerous design problems faced by app developers. How do we make this design knowledge embedded in existing apps accessible to designers? And how can it help simplify the app design process? This dissertation introduces interaction mining, a technique to capture the designs of mobile apps in a way that supports data-driven design applications. It presents systems that implement interaction mining for Android apps without requiring any access to their source code making it possible to design mine apps at an unprecedented scale. It presents Rico, the largest publicly available mobile app design repository to date. It discusses how such repositories created using interaction mining can be used to train models that enable applications such as keyword and example-based search interactions for mobile screens and user flows. It also presents zero-integration performance testing (ZIPT), a novel technique for testing app designs. It demonstrates how ZIPT can be used to help designers understand which examples to draw from in the early stages of the app design process and perform comparative testing at scale with low cost and effort in the later stages of the process.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Electrical & Computer Engr
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Deka, Biplab
Contributors dc:contributor
  • Kumar, Ranjitha S
  • Bailey, Brian P.
  • Singer, Andrew C.
  • Varshney, Lav R.

Subjects

dc:subject × 6

Rights

dc:rights
Statement dc:rights
  • Copyright 2017 Biplab Deka
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/99361
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/99361

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Deka, Biplab. Interaction mining mobile apps. Dissertation thesis, University of Illinois at Urbana-Champaign, 2018. http://hdl.handle.net/2142/99361