Democratizing interaction mining

In the digital landscape, defined by a multitude of mobile applications spanning various platforms, our daily lives are shaped by the quality of digital experiences. The impact of these experiences extends beyond individual satisfaction and directly influences the success of organizations, driving the need for data-driven methods to evaluate and enhance user interfaces. Traditional approaches like analytics and A/B testing, while valuable, require access to an application’s codebase, limiting their utility for external applications. In response to these limitations, interaction mining has emerged as a potent technique. Interaction mining entails the capture of design and interaction data as users engage with an application, resulting in the creation of interaction traces. However, existing interaction mining systems rely on intricate OS-level interventions to enable comprehensive data capture. This dissertation introduces On-Device Interaction Mining (ODIM), a framework that democratizes interaction mining. odim enables data capture by enabling in-the-wild interaction data collection from any Android app on personal devices, without the need for specialized hardware or modifications to the operating system. ODIM empowers researchers, designers, and industry practitioners to enhance task automation, ensure robust user privacy, and bridge the gap between analytics and UX testing. These contributions provide the tools and methodologies needed to innovate digital experiences while safeguarding user privacy. ODIM is a step towards a more accessible, principled, and privacy-conscious future for interaction mining.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2023

Author dc:creator

• Arsan, Deniz

Contributors dc:contributor

• Kumar, Ranjitha
• Marinov, Darko
• Jabbarvand, Reyhaneh
• Nichols, Jeffrey

• Interaction Mining
• Mobile Apps, On-device

Statement dc:rights

• Copyright 2023 Deniz Arsan

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/122037

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F122037