Quantifying Proactive and Reactive Button Input

Hyunchul Kim, Kasper Hornbæk, Byungjoo Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


When giving input with a button, users follow one of two strategies: (1) react to the output from the computer or (2) proactively act in anticipation of the output from the computer. We propose a technique to quantify reactiveness and proactiveness to determine the degree and characteristics of each input strategy. The technique proposed in this study uses only screen recordings and does not require instrumentation beyond the input logs. The likelihood distribution of the time interval between the button inputs and system outputs, which is uniquely determined for each input strategy, is modeled. Then the probability that each observed input/output pair originates from a specific strategy is estimated along with the parameters of the corresponding likelihood distribution. In two empirical studies, we show how to use the technique to answer questions such as how to design animated transitions and how to predict a player's score in real-time games.

Original languageEnglish
Title of host publicationCHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450391573
Publication statusPublished - 2022 Apr 29
Event2022 CHI Conference on Human Factors in Computing Systems, CHI 2022 - Virtual, Online, United States
Duration: 2022 Apr 302022 May 5

Publication series

NameConference on Human Factors in Computing Systems - Proceedings


Conference2022 CHI Conference on Human Factors in Computing Systems, CHI 2022
Country/TerritoryUnited States
CityVirtual, Online

Bibliographical note

Funding Information:
This research was funded by National Research Foundation of Korea (2020R1A2C400214612), Korea Creative Content Agency (R2019020010), and Institute of Information and Communications Technology Planning and Evaluation (2020-0-01361).

Publisher Copyright:
© 2022 ACM.

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software


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