Multimodal Feedback in Human-Robot Interaction: An HCI-Informed Comparison of Feedback Modalities

Maria Vanessa aus der Wieschen, Kerstin Fischer, Kamil Kuklinski, Lars Christian Jensen, Thiusius Rajeeth Savarimuthu

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

A major area of interest within the fields of human-computer interaction (HCI) and human-robot interaction (HRI) is user feedback. Previous work in HCI has investigated the effects of error feedback on task efficiency and error rates, yet, these studies have been mostly restricted to comparisons of inherently different feedback modalities, for example auditory and visual, and as such fail to acknowledge the many possible variations within each of these modalities, some of which being more effective than others. This chapter applies a user-centered approach to investigating feedback modalities for robot teleoperation by naïve users. It identifies the reasons why novice users need feedback when demonstrating novel behaviors to a teleoperated industrial robot and evaluates both various feedback modalities designed to prevent errors and, drawing on document design theory, studies different kinds of visual presentation regarding their effectiveness in the creation of legible error feedback screens.

Original languageEnglish
Title of host publicationHandbook of Research on Human-Computer Interfaces, Developments, and Applications
EditorsJoão Rodrigues, Pedro Cardoso, Jânio Monteiro, Mauro Figueiredo
Number of pages27
PublisherIGI global
Publication date29. Jun 2016
Pages135-161
Chapter6
ISBN (Print)1522504354, 9781522504351
ISBN (Electronic)9781522504368
DOIs
Publication statusPublished - 29. Jun 2016
SeriesAdvances in Human and Social Aspects of Technology
ISSN2328-1316

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