[Kansai Innovation Center General Incorporated Association] Conducting demonstration experiment on tourist guidance using generative AI in Nishikyo Ward, Kyoto City Image
URL: Kansai Innovation Center General Incorporated Association Press release: September 30, 2024 Conducted demonstration experiment on tourist guidance using generated AI in Nishikyo Ward, Kyoto City Kansai Innovation Center General
Incorporated Association (Chairman: Minoru Saotome, hereinafter referred to as our group) and Designium Co., Ltd. (Representative Director: Satoshi Maeda, hereinafter referred to as Designium) are working together to create a “Tourism AR Concierge” developed by Designium. We conducted a demonstration experiment on tourist guidance using generative AI in Nishikyo Ward, Kyoto City. This initiative was adopted as a problem-solving program by MUIC Kansai (hereinafter referred to as MUIC), an innovation creation center operated by our group, and was a technological verification aimed at solving problems in the tourism industry. *May 10, 2023 “A new tourism experience realized with voice response and AR navigation using ChatGPT. Designium Co., Ltd. develops tourist information app “Tourism AR Concierge””:
https://prcdn.freetls.fastly.net/release_image/94621/67/94621-67-6877cddb960b0d94b048cc4d8fcd78c4-1800×1200.png
https://prcdn.freetls.fastly.net/release_image/94621/67/94621-67-164640ad4410d04aa54de47f1cabf8d2-658×450.png Demonstration overview Target area Nishikyo Ward, Kyoto City, along Hankyu Railway lines Demonstration purpose Touring and dispersing around Arashiyama in Nishikyo Ward using a tourist information app Demonstration details Generate AI using tourist information and data related to the target area Verify what kind of routes can be proposed and whether it will improve the experience Assumed persona For those who visited Arashiyama sightseeing by train and have a certain amount of time For this demonstration experiment, we considered an experience design for Nishikyo Ward, Kyoto City, with the aim of touring and dispersing from the Arashiyama area, which is a major tourist spot in the area. For tourist information, we referred to the “Special Kyoto Project” operated by Kyoto City and the Kyoto City Tourism
Association, and attempted to generate the optimal route according to the user’s needs and situation.
https://prcdn.freetls.fastly.net/release_image/94621/67/94621-67-9991d57123e7af8d8deaa2ea4e78b3bd-1451×1228.png Flow of experience Select the information necessary for recommendation
https://prcdn.freetls.fastly.net/release_image/94621/67/94621-67-03d26ee584a0e672d00cb2ac2691fc54-1083×433.png In order to diversify the generated route patterns that are output, we have set up a UI that allows the user to input the user’s situation and needs (desired tour time, mood, etc.) using a selection method. 2. Output recommended destinations and courses
https://prcdn.freetls.fastly.net/release_image/94621/67/94621-67-d7786dce8cfd6d3656364082f8208586-1083×453.png Based on your input, recommended spots, related information, and suggestions regarding the order in which to visit will be output on the spot. Check them on the map view and choose which route you would like to take. 3. Start of 3D route guidance using VPS
https://prcdn.freetls.fastly.net/release_image/94621/67/94621-67-786fe51b85fb36bc4ffd1f6e85fab264-778×433.png When you start the experience, the route will be displayed in 3D using Google Geospatial and linked to your location information. This allows you to walk around without getting lost and not taking the wrong direction. Suggestions obtained through verification 1. Enrichment of reference database Generally, information about tourist destinations often exists in analog formats such as paper media, and is often not centrally managed. In order to output appropriate proposals that meet the diverse needs of users, it is necessary to convert this
information into digital form, create a database, and organize it in a format that can be referenced. 2. Optimal target area size and characteristics In this target area, there is a certain amount of stress involved in excursions, such as traveling by train, and it may be difficult to elicit that much motivation with guidance alone, so we will provide other incentives to compensate for this. The design must also be validated. 3. Cost burden related to experience provision This time, the generated AI will be run every time a route is proposed, so if more people experience it, there is a possibility that a large amount of running costs will be incurred. In addition to providing free tourist information, we need to consider service formats that include experiences that encourage people to pay. Outlook for future development
https://prcdn.freetls.fastly.net/release_image/94621/67/94621-67-d8a2b6af3375573ae0413b681f177a26-771×429.png The basic functions of this app include suggesting recommended spots to stimulate interest and motivation in specific target areas and facilities, and AR navigation to improve convenience. However, through this verification, we realized that it is difficult to increase user motivation through simple guidance, and that it is necessary to design an experience that more deeply engages users.
https://prcdn.freetls.fastly.net/release_image/94621/67/94621-67-af5b4e2d188d56d7cc747e413a83a417-545×230.png Specifically, by combining gamification elements such as adventures with characters, daily missions, and interactive advertising exhibitions that utilize AR space, we will increase the value of the experience and strengthen the system that leads users to actual customer referrals. I will. This app uses databases and generation AI according to areas and facilities to create a system that
automatically generates content. As a result, even when expanding functionality, we can efficiently and smoothly provide flexible solutions that suit various areas and facilities. As part of its development efforts with a view to market launch, Designium
participated in “enXross HACKATHON*” sponsored by Tokyo Dome Co., Ltd., and created a prototype “AR Agent” that enhances the
entertainment experience in Tokyo Dome City. ” was announced. *enXross HACKATHON official page:
https://www.tokyo-dome.co.jp/enxross/overview/ Our group and Designium will continue to create new businesses in the XR and generative AI fields and aim to contribute to market expansion and social
implementation.
[Reference: Overview of each company] ＜ About Designium Co., Ltd. ＞
https://prcdn.freetls.fastly.net/release_image/94621/67/94621-67-819269a9bbb140a1f8296688570c39a1-1450×230.jpg Designium is a company that creates new experiences using technology and ideas. We are focusing on XR development, and have been
particularly quick to focus on content development that combines AR and VPS, and have been promoting R&D and content development using various VPS services. It has also won numerous awards for its XR content, including the Niantic Lightship Challenge. ■ Company profile Company name: Designium Co., Ltd. Head Office: ICT Office Building AiCT 3-2, 1-77 Higashieicho, Aizuwakamatsu City Representative: Representative Director Satoshi Maeda Established: April 8, 2005 Business content: Planning and development of web services, mobile applications, and experiential applications URL:
https://www.designium.jp/ ＜ About Kansai Innovation Center General Incorporated Association ＞
https://prcdn.freetls.fastly.net/release_image/94621/67/94621-67-2c898514d0294cc743181c0411ff65ef-907×344.jpg Our organization was established by Mitsubishi UFJ Financial Group, Inc. (Representative Executive Officer and President, Hironori Kamezawa) and Mitsubishi UFJ Bank, Ltd. (Director, President and Executive Officer, Junichi Hanzawa). Our activities aim to revitalize the Kansai economy and contribute to the success of the 2025 Osaka/Kansai Expo. ■ Company profile Company name: Kansai Innovation Center General Incorporated Association Head Office: 3-6-3
Fushimi-cho, Chuo-ku, Osaka-shi, Osaka Prefecture Representative: Chairman Minoru Saotome Opening: February 22, 2021 Business details: Operation of MUIC Kansai, a membership-based innovation creation base URL: https://www.muic-kansai.jp/ Please use the MUIC Kansai inquiry form. URL: https://www.muic-kansai.jp/contact/