Sensing the Machine: Evaluating Multi-modal Interaction for Intelligent Dynamic Guidance

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

Abstract

Recent research has demonstrated the potential for representing intelligent guidance using multi-modal cues, yet few guidelines or processes exist to guide the design of such a system. In this paper, we seek to address this gap by investigating the design of multi-modality assistant systems for setting the optimal parameters in industrial plants. We then present the results of a user study conducted with 22 participants to evaluate the effectiveness and experience of different combinations of visual (Highlights and Ambient) and haptic (Clicks and Vibration) modalities for providing intelligent dynamic guidance. The results demonstrate that providing the intelligent guidance with the multi modality of Highlights+Ambient resulted in shorter duration and higher practicality than Ambient lights alone. Moreover, multi modality of Highlights+Ambient+Vibration was rated with lower usability than Highlights+Ambient as well as higher mental demand than merely Highlights.
OriginalspracheEnglisch
TitelProceedings of the 29th International Conference on Intelligent User Interfaces
Seiten66-73
Seitenumfang8
ISBN (elektronisch)9798400705083
DOIs
PublikationsstatusVeröffentlicht - 5 Apr. 2024
Veranstaltung29th Annual ACM Conference on Intelligent User Interfaces - AC by Marriott Greenville Downtown, Greenville, USA/Vereinigte Staaten
Dauer: 18 März 202421 März 2024
Konferenznummer: 29
https://iui.acm.org/2024/

Konferenz

Konferenz29th Annual ACM Conference on Intelligent User Interfaces
KurztitelIUI 2024
Land/GebietUSA/Vereinigte Staaten
StadtGreenville
Zeitraum18/03/2421/03/24
Internetadresse

Research Field

  • Experience Business Transformation
  • Human-centered Automation and Assistance

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