Mikihiko Mori

Bio: Mikihiko Mori is an academic researcher from Kyoto University. The author has contributed to research in topics: Collaborative learning & Information system. The author has an hindex of 5, co-authored 35 publications receiving 81 citations. Previous affiliations of Mikihiko Mori include University of Tokyo & Hosei University.

Development of a Multiple User Quiz System on a Shared Display

Abstract: Collaborative Learning attracts attention as a new teaching method for its effectiveness of acquiring various skills. Recognizing the limit of current design of personal computer (PC) for collaborative learning in face-to-face environment, the authors have proposed a computer system called Socialized Computer (SC) that allows multiple users access to the computer with multiple mice and keyboards, and share information on a single large display. The authors take quiz as learning material, and are developing multiple user quiz system named MultiMouseQuiz (MMQ) for collaborative learning along the concept of SC. This paper reports a prototype system of MMQ and preliminary experiment carried out at Kyoto University Museum using the prototype. Design issues of MMQ is addressed based on the findings obtained in the experiment.

How science, technology and innovation can be placed in broader visions - Public opinions from inclusive public engagement activities

Abstract: This work was supported by the Research Institute of Science and Technology for Society, Japan Science and Technology Agency.

Detecting Deviations from Intended Routes Using Vehicular GPS Tracks

Abstract: This article proposes a method to find intersections at which cars tend to deviate from the optimal route based on global positioning system (GPS) tracking data under the assumption that such deviations indicate that car navigation systems (CNSs) and road signage are not readily available. If the intended route is known, deviations can be enumerated by comparing the intended route with the vehicle’s actual route as observed by a GPS; however, the intended route is unknown and can differ from the route suggested by a CNS. To identify intersections with high deviation rates without knowing intended routes, we exhaustively sampled subsequences from each vehicular GPS track, and detected deviations from the optimal route for the subsequences. Although the detected deviations are not always caused by driver confusion, accumulating such erroneous detection results would yield a meaningful difference in the number of accumulated deviations at each intersection. We applied the proposed method to 3,843 GPS tracks collected from visitor drivers in the city of Kyoto. Thresholding the estimated deviation rate yielded 39 intersections from 14,543 candidates. The results show a certain level of correlation between obtained deviations and rerouting locations from actual CNS data. We also found several intersections where faulty route suggestions are provided by CNSs.

Business Model of Mobile Service for Ensuring Students’ Safety Both in Disaster and Non-disaster Situations During School Trips

Abstract: We are developing a mobile service for ensuring students’ safety during the school trips that provides the current position and a history of movement during their trips for non-disaster situations and helps to escape in the event of a disaster. Since the Great East Japan Earthquake, teachers are now required to ensure the security of students during school trips. We developed the mobile service to solve this increasing social needs. During the development, we found some issues to be solved beside the technical problems. Namely, (1) monetization of the business, (2) limited sales channel, (3) anxiety about the treatment of personal information and (4) teachers’ negative tendency to new technical tools. In this paper, from the viewpoint of the business, our approach to realize the service is described.

The knowledge-creating company : how Japanese companies create the dynamics of innovation

Abstract: How has Japan become a major economic power, a world leader in the automotive and electronics industries? What is the secret of their success? The consensus has been that, though the Japanese are not particularly innovative, they are exceptionally skilful at imitation, at improving products that already exist. But now two leading Japanese business experts, Ikujiro Nonaka and Hiro Takeuchi, turn this conventional wisdom on its head: Japanese firms are successful, they contend, precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies. Examining case studies drawn from such firms as Honda, Canon, Matsushita, NEC, 3M, GE, and the U.S. Marines, this book reveals how Japanese companies translate tacit to explicit knowledge and use it to produce new processes, products, and services.

Situations and Attitudes.

Abstract: In this provocative book, Barwise and Perry tackle the slippery subject of \"meaning, \" a subject that has long vexed linguists, language philosophers, and logicians.

Business intelligence and big data in hospitality and tourism : A systematic literature review

Abstract: PurposeThis paper aims to examine the extent to which Business Intelligence and Big Data feature within academic research in hospitality and tourism published until 2016, by identifying research ga ...