Investigating the Tradeoffs of Everyday Text-Entry Collection Methods

André Rodrigues*, Hugo Nicolau, André R.B. Santos, Diogo Branco, Jay Rainey, David Verweij, Jan David Smeddinck, Kyle Montague, Tiago Guerreiro

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Typing on mobile devices is a common and complex task. The act of typing itself thereby encodes rich information, such as the typing method, the context it is performed in, and individual traits of the person typing. Researchers are increasingly using a selection or combination of experience sampling and passive sensing methods in real-world settings to examine typing behaviours. However, there is limited understanding of the effects these methods have on measures of input speed, typing behaviours, compliance, perceived trust and privacy. In this paper, we investigate the tradeoffs of everyday data collection methods. We contribute empirical results from a four-week field study (N=26). Here, participants contributed by transcribing, composing, passively having sentences analyzed and reflecting on their contributions. We present a tradeoff analysis of these data collection methods, discuss their impact on text-entry applications, and contribute a flexible research platform for in the wild text-entry studies.
Original languageEnglish
Title of host publicationCHI '22
Subtitle of host publicationCHI Conference on Human Factors in Computing Systems
EditorsSimone Barbosa, Cliff Lampe, Caroline Appert, David A. Shamma, Steven Drucker, Julie Williamson, Koji Yatani
Place of PublicationNew York, US
Number of pages15
ISBN (Print)9781450391573
Publication statusPublished - 29 Apr 2022
EventACM CHI 2022 - 900 Convention Center Blvd, New Orleans, LA, United States
Duration: 30 Apr 20225 May 2022


ConferenceACM CHI 2022
Country/TerritoryUnited States
CityNew Orleans, LA
Internet address


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