LocatAR: An AR Object Search Assistance System for a Shared Space

Oshimi, Hiroto; Perusquía-Hernández, Monica; Isoyama, Naoya; Uchiyama, Hideaki; Kiyokawa, Kiyoshi

doi:10.1145/3582700.3582712

Cited by 5 publications

(1 citation statement)

References 28 publications

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“…Building upon technologies such as 3D Arrow, Halo, and Wedge, visual cues such as Halo3D [12], HaloAR/WedgeAR [13], and FlyingArrow [14] have emerged. Oshimi et al [15] developed LocatAR, an innovative system that automatically registers and indicates objects' positions in large spaces using 3D curves. The endpoints of these 3D curves correspond to the object grasping and placement locations.…”

Section: Related Work 21 Search Assistancementioning

confidence: 99%

Exploring the Role of Video Playback Visual Cues in Object Retrieval Tasks

Qin,

Su,

Qin

et al. 2024

Sensors

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Searching for objects is a common task in daily life and work. For augmented reality (AR) devices without spatial perception systems, the image of the object’s last appearance serves as a common search assistance. Compared to using only images as visual cues, videos capturing the process of object placement can provide procedural guidance, potentially enhancing users’ search efficiency. However, complete video playback capturing the entire object placement process as visual cues can be excessively lengthy, requiring users to invest significant viewing time. To explore whether segmented or accelerated video playback can still assist users in object retrieval tasks effectively, we conducted a user study. The results indicated that when video playback is covering the first appearance of the object’s destination to the object’s final appearance (referred to as the destination appearance, DA) and playing at normal speed, search time and cognitive load were significantly reduced. Subsequently, we designed a second user study to evaluate the performance of video playback compared to image cues in object retrieval tasks. The results showed that combining the DA playback starting point with images of the object’s last appearance further reduced search time and cognitive load.

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