Abstract
University student sports journalists often face time constraints during post-match interviews, as they are responsible for photography, live updates, and reporting with limited support. As a result, they have little time to take notes or prepare thoughtful questions, which often leads to vague or superficial interviews. Through interviews with student journalists and evaluations involving athletes, we found that questions focusing on specific plays and tactics were perceived more positively by both groups.
To address this challenge, we developed a smartwatch-based system that allows journalists to flag important scenes during matches. These flags can later be reviewed using a prototype interface that displays both match videos and time-series information. We conducted two user studies to evaluate the system. The first study confirmed that journalists could successfully use the flagging function under real match conditions. The second showed that reviewing flagged scenes helped journalists formulate more play-specific and tactic-oriented questions. These findings suggest that the proposed system can support student sports journalists in improving the quality of post-match interviews, even under practical constraints.
Artifacts
Information
Book title
The 31st International Conference on Collaboration Technologies and Social Computing (CollabTech2025)
Volume
16204
Pages
252–267
Date of issue
2025/11/05
Date of presentation
2025/11/06
Location
Depok, West Java, Indonesia
Citation
Ai Hagihara, Satoshi Nakamura. Supporting Time-Constrained Student Sports Journalists: Smartwatch Flagging and Match Visualization for Better Interview Questions, The 31st International Conference on Collaboration Technologies and Social Computing (CollabTech2025), Vol.16204, pp.252–267, 2025.