Yuki Abe

Ph.D. Student at Hokkaido University

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Temaneki: Map-Based Collaboration Tool for Consensus-Building in Student-Run Festival Management Teams

Yuki Abe, Hikaru Tsujiguchi, Daisuke Sakamoto, and Tetsuo Ono

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Temaneki, a map-based authoring tool for asynchronous, visual, and interactive instruction within student festival management teams. The team managers use (a) a series of annotated maps of festival venues and (b) create step-by-step instructions. These instructions are (c) shared to the smartphones of team members, particularly volunteers, to provide an interactive visual guidance for festival setups and task operations.

Abstract

Consensus-building is essential for successful collaborations in student festival management teams. However, instructing and building a consensus among over a hundred volunteers is time-consuming for team managers; it requires individual chats and meetings or the creation of intuitive guidance documents. To address this challenge, we developed Temaneki, a map-based authoring tool that provides asynchronous, visual, and interactive instruction within these teams. Temaneki enables managers to create step-by-step instructions with a series of annotated maps of festival venues, and subsequently provide each volunteer with these step-by-step visual instructions with asynchronous access. We analyzed the deployment results of Temaneki in a 182-member student festival management team and found that step-by-step map annotations helped managers instruct volunteers clearly and efficiently. Moreover, managers decorated the maps to make instructions more enjoyable for volunteers. These findings can guide the future directions of map and visual collaboration tools for efficient and enjoyable consensus-building in teams.

Video

Teaser (1 min)

Presentation (3 min)

Publication

  1. Yuki Abe, Hikaru Tsujiguchi, Daisuke Sakamoto, and Tetsuo Ono. Temaneki: Map-Based Collaboration Tool for Consensus-Building in Student-Run Festival Management Teams. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA ’24), May 11– 16, 2024, Honolulu, HI, USA. ACM, New York, NY, USA, 8 pages. [DOI] [Poster]

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