Computational modeling in human-computer interaction

Research output: Contribution to conferenceAbstractScientificpeer-review

Researchers

Research units

  • University of Michigan, Ann Arbor
  • University of Cambridge

Abstract

We propose a workshop on rapidly emerging topic of Computational Modeling in HCI to address the challenges of increasing complexity of human behaviors we are able to track and collect today. The goal of this workshop is to reconcile two seemingly competing approaches to computational modeling: theoretical modeling, which seeks to explain behaviors vs. algorithmic modeling, which seeks to predict behaviors. The workshop will address: 1) convergence of the two approaches at the intersection of HCI, 2) updates to theoretical and methodological foundations, 3) bringing disparate modeling communities to CHI, and 4) sharing datasets, code, and best practices. This workshop seeks to establish Computational Modeling as a theoretical foundation for work in Human-Computer Interaction (HCI) to model the human accurately across domains and support design, optimization, and evaluation of user interfaces to solve a variety of human-centered problems.

Details

Original languageEnglish
Number of pages7
Publication statusPublished - 2 May 2019
MoE publication typeNot Eligible
EventACM SIGCHI Annual Conference on Human Factors in Computing Systems - Glasgow, United Kingdom
Duration: 4 May 20199 May 2019
https://chi2019.acm.org/

Conference

ConferenceACM SIGCHI Annual Conference on Human Factors in Computing Systems
Abbreviated titleACM CHI
CountryUnited Kingdom
CityGlasgow
Period04/05/201909/05/2019
Internet address

    Research areas

  • Computational Interaction, Computational Modeling, Data Mining, Machine Learning

ID: 35822968