로봇심판 적용에 대한 야구팬의 인식: 인간-로봇 심판 상호작용 관점에서
Baseball Fans’ Evaluations of Robot Umpire: The Perspective of Human-Robot Interaction
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초록
[목적] 본 연구는 인간-로봇 상호작용 관점에서 로봇심판에 대한 야구팬의 인식을 탐구하였다. 특히, 인간심판과 로봇심판의 볼-스트라이크 판정이 불일치할 때, 인간심판 또는 로봇심판 중 어떠한 주체가 최종 결정권을 갖는 것이 야구팬으로부터 더 긍정적 반응을 일으키는지에 대해 탐구하였다. [방법] 본 연구는 2(볼-스트라이크 최종 결정권자: 로봇 또는 인간 심판) x 2(로봇심판에 부여되는 전문성: 야구 vs. 이미지 분석 기술) x 2(참가자의 기술 신뢰 수준: 낮음 vs. 높음) 집단 간 실험 설계(between-subjects design)를 이용하여 모든 가설을 검증하였다. [결과] 로봇심판이 최종 결정권자가 되었을 경우, 기술 신뢰 수준이 높은 야구팬은 로봇심판에게 이미지 분석 기술에대한 전문성이 강조되었을 때 야구 전문성이 강조되었을 때보다 로봇심판 적용에 대해 더 긍정적 평가를 한 것으로나타났다. 반면, 기술 신뢰 수준이 낮은 야구팬의 경우, 로봇심판에게 야구에 대한 전문성이 강조되었을 때 이미지 분석 기술에 대한 전문성이 강조되었을 때보다 로봇심판 적용에 대해 더 긍정적 평가를 한 것으로 나타났다. [결론] 본 연구의 결과는 로봇심판 적용에 있어 의미 있는 제도적 시사점을 제시할 수 있을 것이라 기대된다.
Abstract
PURPOSE The current study examined how baseball fans evaluate a robot umpire from the perspective of the human-robot interaction. In particular, this study examined whether baseball fans evaluated more positively a robot umpire depending on whether a robot or a human umpire has the final authority to make ball-strike decisions, when the ball-strike decision contradicts with each other. Furthermore, the different types of expertise (baseball vs. image analysis) embedded in robot umpire and fans’ levels of technology adoption were used to examine the relationship between umpire type and evaluations of robot umpire. METHODS This study used 2 (final decision maker: robot vs. human umpire) by 2 (different types of expertise embedded in robot umpire: baseball vs. image analysis) by 2 (different levels of technology adoption: low vs. high) between-subjects design. RESULTS The results indicated that when a robot umpire had the final authority to make ball-strike decisions, baseball fans evaluated more positively the adoption of robot umpire, when image analysis expertise was embedded in the robot umpire rather than baseball expertise. Meanwhile, baseball fans evaluated more positively the adoption of robot umpire when baseball expertise was embedded in a robot umpire rather than image analysis expertise. CONCLUSIONS The current study provides meaningful implications regarding how to design an effective system for the operation of robot umpire in baseball.
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