A Participatory Agent-Based Simulation for Indoor Evacuation Supported by Google Glass

Sánchez, Jesús M.; Carrera, Álvaro; Iglesias, Carlos Á.; Serrano, Emilio

doi:10.3390/s16091360

Cited by 10 publications

(3 citation statements)

References 36 publications

(38 reference statements)

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“…These applications are also available for smart glasses. For example, a Google Glasses-enabled application presents evacuation instructions and a floor map with the degree of congestion predicted from multiagent simulation [17]. Another application presents navigation cues and virtual fire and smoke on a floor map using Microsoft HoloLens [18].…”

Section: Introductionmentioning

confidence: 99%

Location-Based Game for Thought-Provoking Evacuation Training

Mitsuhara

Tanimura

Nemoto

et al. 2023

MTI

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Participation in evacuation training can aid survival in the event of an unpredictable disaster, such as an earthquake. However, conventional evacuation training is not well designed for provoking critical thinking in participants regarding the processes involved in a successful evacuation. To realize thought-provoking evacuation training, we developed a location-based game that presents digital materials that express disaster situations corresponding to locations or times preset in a scenario and providing scenario-based multi-ending as the game element. The developed game motivates participants to take decisions by providing high situational and audiovisual realism. In addition, the game encourages the participants to think objectively about the evacuation process by working together with a reflection-support system. We practiced thought-provoking evacuation training with fifth-grade students, focusing on tsunami evacuation and lifesaving-related moral dilemmas. In this practice, we observed that the participants took decisions as if they were dealing with actual disaster situations and objectively thought about the evacuation process by reflecting on their decisions. Meanwhile, we found that lifesaving-related moral dilemmas are difficult to address in evacuation training.

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Section: Introductionmentioning

confidence: 99%

Location-Based Game for Thought-Provoking Evacuation Training

Mitsuhara

Tanimura

Nemoto

et al. 2023

MTI

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“…To achieve this, the design of the system interface was evaluated in terms of effectiveness, efficiency, and user satisfaction. In this regard, the usability was determined based on user responses to the questionnaire outlined in Table 7 [45,46]; users selected the desired score for each item (i.e., question) on a 5-point Likert scale. In this scale, 1 represents the worst case-i.e., complete user dissatisfaction-and 5 indicates complete user satisfaction.…”

mentioning

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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“…Examples of microscopic models are cellular automata models (e.g., [10,[25][26][27][28][29][30][31]), lattice gas models (e.g., [32]), social force models (e.g., [4,11,[33][34][35]), motion planning with velocity obstacles (e.g., [36,37]), agent-based models (e.g., [38][39][40]), game theoretic models (e.g., [41][42][43]), approaches based on experiments with animals (e.g., [44][45][46][47]), and hybrid models (e.g., [48]). Cellular automata models and lattice gas models partition the space into grids or hexagons.…”

Section: Evacuation Models and Crowd Dynamicsmentioning

confidence: 99%

Integrating Decentralized Indoor Evacuation with Information Depositories in the Field

Zhao

Winter

Tomko

2017

IJGI

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Abstract:The lonelier evacuees find themselves, the riskier become their wayfinding decisions. This research supports single evacuees in a dynamically changing environment with risk-aware guidance. It deploys the concept of decentralized evacuation, where evacuees are guided by smartphones acquiring environmental knowledge and risk information via exploration and knowledge sharing by peer-to-peer communication. Peer-to-peer communication, however, relies on the chance that people come into communication range with each other. This chance can be low. To bridge between people being not at the same time at the same places, this paper suggests information depositories at strategic locations to improve information sharing. Information depositories collect the knowledge acquired by the smartphones of evacuees passing by, maintain this information, and convey it to other passing-by evacuees. Multi-agent simulation implementing these depositories in an indoor environment shows that integrating depositories improves evacuation performance: It enhances the risk awareness and consequently increases the chance that people survive and reduces their evacuation time. For evacuating dynamic events, deploying depositories at staircases has been shown more effective than deploying them in corridors.

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A Participatory Agent-Based Simulation for Indoor Evacuation Supported by Google Glass

Cited by 10 publications

References 36 publications

Location-Based Game for Thought-Provoking Evacuation Training

Location-Based Game for Thought-Provoking Evacuation Training

Ubiquitous Tourist System Based on Multicriteria Decision Making and Augmented Reality

Integrating Decentralized Indoor Evacuation with Information Depositories in the Field

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