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Machine learning for intelligent mobile user interfaces using TensorFlow.

, , and . MobileHCI, page 62:1-62:5. ACM, (2017)

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Understanding the ergonomic constraints in designing for touch surfaces., , , , and . MobileHCI, page 33:1-33:9. ACM, (2017)Machine learning for intelligent mobile user interfaces using TensorFlow., , and . MobileHCI, page 62:1-62:5. ACM, (2017)A smartphone prototype for touch interaction on the whole device surface., , , and . MobileHCI, page 100:1-100:8. ACM, (2017)A Scoping Survey on Cross-reality Systems., , , , and . ACM Comput. Surv., 56 (4): 83:1-83:38 (April 2024)The Human in the Infinite Loop: A Case Study on Revealing and Explaining Human-AI Interaction Loop Failures., , , and . MuC, page 158-168. ACM, (2022)Tangible Interfaces Support Young Children's Goal Interdependence., , , , and . MuC, page 147-157. ACM, (2022)Cobity: A Plug-And-Play Toolbox to Deliver Haptics in Virtual Reality., and . MuC, page 78-84. ACM, (2022)RAMPARTS: Supporting Sensemaking with Spatially-Aware Mobile Interactions., , , , , and . CHI, page 2447-2460. ACM, (2016)User Perceptions of Extraversion in Chatbots after Repeated Use., , , and . CHI, page 253:1-253:18. ACM, (2022)Notification in VR: The Effect of Notification Placement, Task and Environment., , , and . CHI PLAY, page 199-211. ACM, (2019)