Browsing by Author "Cordeil, Maxime"

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    Augmented Reality Map Navigation with Freehand Gestures
    (2019-03) Satriadi, Kadek Ananta; Ens, Barrett; Cordeil, Maxime; Czauderna, Tobias; Willett, Wesley J.; Jenny, Bernhard
    Freehand gesture interaction has long been proposed as a ’natural’ input method for Augmented Reality (AR) applications, yet has been little explored for intensive applications like multiscale navigation. In multiscale navigation, such as digital map navigation, pan and zoom are the predominant interactions. A position-based input mapping (e.g. grabbing metaphor) is intuitive for such interactions, but is prone to arm fatigue. This work focuses on improving digital map navigation in AR with mid-air hand gestures, using a horizontal intangible map display. First, we conducted a user study to explore the effects of handedness (unimanual and bimanual) and input mapping (position-based and rate-based). From these findings we designed DiveZoom and TerraceZoom, two novel hybrid techniques that smoothly transition between position- and rate-based mappings. A second user study evaluated these designs. Our results indicate that the introduced input-mapping transitions can reduce perceived arm fatigue with limited impact on performance.
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    Grand Challenges in Immersive Analytics
    (ACM : New York, New York, 2021-05-08) Ens, Barrett; Bach, Benjamin; Cordeil, Maxime; Engelke, Ulrich; Serrano, Marcos; Willett, Wesley; Prouzeau, Arnaud; Anthes, Christoph; Büschel, Wolfgang; Dunne, Cody; Dwyer, Tim; Grubert, Jens; Haga, Jason H.; Kirschenbaum, Nurit; Kobayashi, Dylan; Lin, Tica; Olaosebikan, Monsurat; Pointecker, Fabian; Saffo, David; Saquib, Nazmus; Schmalsteig, Dieter; Szafir, Danielle Albers; Whitlock, Matthew; Yang, Yalong
    Immersive Analytics is a quickly evolving field that unites several areas such as visualisation, immersive environments, and human-computer interaction to support human data analysis with emerging technologies. This research has thrived over the past years with multiple workshops, seminars, and a growing body of publications, spanning several conferences. Given the rapid advancement of interaction technologies and novel application domains, this paper aims toward a broader research agenda to enable widespread adoption. We present 17 key research challenges developed over multiple sessions by a diverse group of 24 international experts, initiated from a virtual scientific workshop at ACM CHI 2020. These challenges aim to coordinate future work by providing a systematic roadmap of current directions and impending hurdles to facilitate productive and effective applications for Immersive Analytics.
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    When Paper Meets Multi-Touch: A Study of Multi-Modal Interactions in Air Traffic Control
    (Springer, 2013) Savery, Cheryl; Hurter, Christophe; Lesbordes, Remi; Cordeil, Maxime; Graham, T.C. Nicholas
    For expert interfaces, it is not obvious whether providing multiple modes of interaction, each tuned to different sub-tasks, leads to a better user experience than providing a more limited set. In this paper, we investigate this question in the context of air traffic control. We present and analyze an augmented flight strip board offering several forms of interaction, including touch, digital pen and physical paper objects. We explore the technical challenges of adding finger detection to such a flight strip board and evaluate how expert air traffic controllers interact with the resulting system. We find that users are able to quickly adapt to the wide range of offered modalities. Users were not overburden by the choice of different modalities, and did not find it difficult to determine the appropriate modality to use for each interaction.