Designing of multimodal feedback for enhanced multitasking performance

Hyeongcheol Kim, Gerard J. Kim

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

2 Citations (Scopus)


In this paper, we explore the possibility of applying multimodal feedback to improve multitasking performance. For this purpose, we have devised a general multitasking test application, called the MSP-Blocks, which includes many basic elements of multitasking and can be used to carry out a variety of multimodal multitasking experiments. An experiment was run to study the effects of two factors (the number of jobs and types of multimodal feedback) to user task performance, specifically, interaction effort, concurrency, fairness and output quality. The results indicated that multimodal feedback did influence multitasking performance, and moreover, non-redundant multimodal feedback was more effective than no multimodality or redundant multimodality for tasks with reasonable difficulty, e.g. when the number of jobs was more than four.

Original languageEnglish
Title of host publicationCHI 2011 - 29th Annual CHI Conference on Human Factors in Computing Systems, Conference Proceedings and Extended Abstracts
PublisherAssociation for Computing Machinery
Number of pages10
ISBN (Print)9781450302289
Publication statusPublished - 2011

Publication series

NameConference on Human Factors in Computing Systems - Proceedings


  • Concurrency
  • Experiment
  • Multimodal interface
  • Multitasking
  • Task performance

ASJC Scopus subject areas

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


Dive into the research topics of 'Designing of multimodal feedback for enhanced multitasking performance'. Together they form a unique fingerprint.

Cite this