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Auflistung nach Schlagwort "elicitation study"

1 - 2 von 2
  • Konferenzbeitrag
    Eliciting tangible and gestural user interactions with and on a cooking pan
    (Mensch und Computer 2020 - Tagungsband, 2020) Beruscha, Frank; Mueller, Katharina; Sohnke, Thorsten
    Embedding computational capabilities in everyday objects enables novel interaction concepts that are seamlessly integrated in users’ everyday tasks. We conducted an elicitation study to investigate how subjects use a pan to control functions related to cooking. The primary focus of the study was to identify whether the elicited proposals tend towards tangible (i.e. moving or rotating the pan) or gestural (i.e. tapping or swiping on the pan handle) interactions. We present an analysis of over 500 interaction proposals from 20 subjects. While priming and used pan handle did not affect the amount or type of elicited interactions, we found statistically significant differences for different types of task. While pan interaction is suitable for controlling cook top temperature, subjects have a rejecting attitude towards using a pan to interact with the cooker hood or a digital cookbook.We derive recommendations for when and how to interact with a pan during the cooking process.
  • Konferenzbeitrag
    Ensuring a Robust Multimodal Conversational User Interface During Maintenance Work
    (Mensch und Computer 2021 - Tagungsband, 2021) Fleiner, Christian; Riedel, Till; Beigl, Michael; Ruoff, Marcel
    It has been shown that the provision of a conversational user interface proves beneficial in many domains. But, there are still many challenges when applied in production areas, e.g. as part of a virtual assistant to support workers in knowledge-intensive maintenance work. Regarding input modalities, touchscreens are failure-prone in wet environments and the quality of voice recognition is negatively affected by ambient noise. Augmenting a symmetric textand voice-based user interface with gestural input poses a good solution to provide both efficiency and a robust communication. This paper contributes to this research area by providing results on the application of appropriate head and one-hand gestures during maintenance work. We conducted an elicitation study with 20 participants and present a gesture set as its outcome. To facilitate the gesture development and integration for application designers, a classification model for head gestures and one for one-hand gestures were developed. Additionally, a proof-of-concept for operators’ acceptance regarding a multimodal conversational user interface with support of gestural input during maintenance work was demonstrated. It encompasses two usability testings with 18 participants in different realistic, but controlled settings: notebook repair (SUS: 82.1) and cutter head maintenance (SUS: 82.7).