A Comparative Study of Hand-Gesture Recognition Devices for Games
| Autor: | Zachary O. Toups, Sultan A. Alharthi, Igor Dolgov, Ahmed S. Khalaf, Ali Alshehri |
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| Rok vydání: | 2020 |
| Předmět: |
Computer science
05 social sciences ComputingMilieux_PERSONALCOMPUTING 020207 software engineering Cognition 02 engineering and technology Player experience Game design Leap motion Gesture recognition Human–computer interaction 0202 electrical engineering electronic engineering information engineering Natural (music) 0501 psychology and cognitive sciences Set (psychology) 050107 human factors Gesture |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783030490614 HCI (2) |
| DOI: | 10.1007/978-3-030-49062-1_4 |
| Popis: | Gesture recognition devices provide a new means for natural human-computer interaction. However, when selecting these devices to be used in games, designers might find it challenging to decide which gesture recognition device will work best. In the present research, we compare three vision-based, hand-gesture devices: Leap Motion, Microsoft’s Kinect, and Intel’s RealSense. The comparison provides game designers with an understanding of the main factors to consider when selecting these devices and how to design games that use them. We developed a simple hand-gesture-based game to evaluate performance, cognitive demand, comfort, and player experience of using these gesture devices. We found that participants preferred and performed much better using Leap Motion and Kinect compared to using RealSense. Leap Motion also outperformed or was equivalent to Kinect. These findings were supported by players’ accounts of their experiences using these gesture devices. Based on these findings, we discuss how such devices can be used by game designers and provide them with a set of design cautions that provide insights into the design of gesture-based games. |
| Databáze: | OpenAIRE |
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