Wayfinding Behavior Detection by Smartphone

Narimoto, Ryosuke; Kajita, Shugo; Yamaguchi, Hirozumi; Higashino, Teruo

doi:10.1109/aina.2018.00078

Cited by 3 publications

(4 citation statements)

References 15 publications

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“…Consumer-generated media (CGM) required for tourism is inertial sensors and GPS built into smartphones, and photos and comments. With the development of human activity recognition research, it is possible to collect information such as tourist behaviors [59] and congestion degree in the surrounding area [60] from sensor data collected from smartphones. Also, photos and comments are very useful information for the next tourist to understand the current situation of the sightseeing spot.…”

Section: Methodsmentioning

confidence: 99%

“…Sensor data (GPS, acceleration, angular acceleration, geomagnetism, and illuminance) are collected by strolling in the displayed area. These sensor data can be used to estimate the context of sightseeing attraction such as the smoothness of pedestrian flows [60], the congestion on the roadway while traveling with a vehicle [63], and the detailed sightseeing behavior of the user [59]. Points are given at fixed time intervals, by collecting sensor data.…”

Section: Area Missionmentioning

confidence: 99%

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Gamified Participatory Sensing in Tourism: An Experimental Study of the Effects on Tourist Behavior and Satisfaction

et al. 2020

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In the tourism sector, user-generated information and communication among tourists are perceived to be more effective and reliable contents. In addition, the collection of dynamic tourism information with high spatio-temporal resolution is required to provide comfortable tourism in response to the changing tourism style with the advancement of information technology. Participatory sensing, which can collect various types of information is a useful method by which to collect these contents. However, continuous participation of users is essential in participatory sensing, and it is one of the most important points to stimulate participation motivation. In the tourism situation, we also need to pay attention to the total tourist satisfaction of participants. In this paper, we adopt gamification, i.e., the implementation of game design elements in real-world contexts for non-gaming purposes, for participatory sensing as an incentive mechanism to motivate participants with active participation and collect the necessary information efficiently. Within the framework, where points are given when completing the requested sensing task (=mission), two sensing missions with different burdens; Area Mission and Check-in Mission, and three different types of rewarding mechanisms; Fixed, Variable and Dynamic Variable, are designed as a gamification mechanism. We implemented these elements in the proposed participatory sensing platform application and conducted an experimental case study with 33 participants at an actual tourist spot: Kyoto, Japan. Then, we investigate the effects on tourist behavior and satisfaction by analyzing collected sensor data, mission logs, and post-survey answers. As a result, we can conclude the following: (1) the tourist behavior is changed due to the proposed gamification design and the necessary information was collected efficiently; (2) the participants tend to prioritize Check-in Mission over the sightseeing, which can induce a behavior change but might impact sightseeing enjoyment.

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Section: Methodsmentioning

confidence: 99%

Section: Area Missionmentioning

confidence: 99%

Gamified Participatory Sensing in Tourism: An Experimental Study of the Effects on Tourist Behavior and Satisfaction

et al. 2020

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“…Adjustment requires a situation to occur that forces the participant to reorient themselves from the initial route (Fontaine & Dennis, 1999;Narimoto et al, 2018). For example, when a participant found signage or station design unreadable and difficult to navigate, it led them to feeling lost or confused and required them to change their initial route plans and redirect themselves.…”

Section: (C) Adjustmentmentioning

confidence: 99%

“…Having both spatial and temporal features of a journey highlighted allowed the participants to feel greater autonomy to personalize their route choices, and the ability to factor in any personal preference in mobility. The importance of user preference in smartphone personalization during navigation was previously discussed byShaheen et al (2016),Kaplan et al (2017);and Narimoto et al (2018).Serena, a DTI participant, explained her process: "So, this is a route I'm not very familiar with. The first thing I would do is use Google Maps and look for every step I have to take to get to my destination."…”

mentioning

confidence: 97%

Digital Directions:

Ferri

Popp

Wulfhorst³

2021

IJSW

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Wayfinding in spatially complex public transit environments poses unique navigational challenges. Transfers, delays, barriers, and user capacity all influence the usability of a system. Because of the smartphone, how we navigate through these systems, and interact with the surrounding environment, is changing. The smartphone provides a spatio-temporal strategy that removes the reliance on our immediate environment and personalizes the wayfinding process -- unlike that of transit schedules, signs, and maps. How does smartphone usage influence performance and the wayfinding experience? This paper looks at smartphone usage of twelve participants through a shadowed commented walk, known as a Destination-Task Investigation, in Munich’s public transit system. The study provides insights into the role and the influence of smartphones during the wayfinding process. Furthermore, it shows that Apps providing integrated spatio-temporal information, such as Google, were used most frequently, especially for confirmation during navigation.

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