Evaluation of Pointing Interfaces with an AR Agent for Multi-section Information Guidance

Techasarntikul, Nattaon; Mashita, Tomohiro; Ratsamee, Photchara; Uranishi, Yuki; Takemura, Haruo; Orlosky, Jason; Kiyokawa, Kiyoshi

doi:10.1109/vr.2019.8798061

Cited by 2 publications

(1 citation statement)

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“…Techasarntikul et al (2019) used AR technology to develop a guidance system for AR museums [29]. This study applied embodied agents and allowed the user to observe a variety of information related to different pieces of art through interaction with an agent.…”

Section: Ar-based Systemsmentioning

confidence: 99%

Ubiquitous Tourist System Based on Multicriteria Decision Making and Augmented Reality

et al. 2022

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Increasing global demand for travel has drawn public attention to the tourism industry. This industry needs the design of intelligent systems based on new concepts to facilitate better service delivery. To this end, this study proposes a ubiquitous tourist system based on context-awareness, multicriteria decision making (MCDM), and augmented reality (AR) using a geospatial information system (GIS). This system provides two services to the user. First, it recommends a hotel in the vicinity of the user based on their preferences. Subsequently, it modifies the information property to augment the information concerning the visited object using AR technology. This system offers the advantage of adapting its models based on the user and their environment using context-awareness, thereby facilitating increased system automation during service delivery. Furthermore, this system enables personalization based on user needs. Our system was evaluated via a usability test using a Likert scale based on two system aspects, namely, system design, and user acceptance of the result. The output of this test yielded an average score of 4.112. The proximity of this score to the highest level of the Likert scale indicates the acceptance of the system by users.

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Section: Ar-based Systemsmentioning

confidence: 99%