Cognition-oriented Facilitation and Guidelines for Collaborative Problem-solving online and face-to-face: An in-depth examination of format and facilitation influence on problem-solving performance

要旨

During the Covid-19 pandemic, more guidelines were created to teach people how to facilitate meetings online, but few were designed from a cognition-oriented perspective. Additionally, solving complex problems is essential in many occupations. However, the influence of online and face-to-face discussion formats on the performance in complex problem-solving tasks is unclear, even though remote working has become common over the past several few years. Hence, this study aims to answer two research questions: (a) Does problem-solving performance differ between online and face-to-face meetings? and (b) Does facilitation improve problem-solving performance when different formats are used? We conducted experiments with 40 groups using a 2 × 2 factorial design, which were controlled for both facilitation and format. Each group comprised two randomly selected participants, and each problem-solving discussion lasted between 1.5¬–2 h. The obtained evidence showed that format can influence the performance of balancing intercorrelated factors in a complex scenario, but it does not affect the performance of achieving a predefined goal. Instead, it we found that facilitation is helpful for achieving a predefined goal. Based on the results obtained, we propose future design directions for problem-solving centric computer-supported cooperative work systems from a cognition-oriented perspective.

著者
Yingting Chen
The University of Tokyo, Tokyo, Japan
Taro Kanno
The University of Tokyo, Tokyo, Japan
Kazuo Furuta
The University of Tokyo, Tokyo, Japan
論文URL

https://doi.org/10.1145/3544548.3581112

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Augmentation of human skills

Hall B
6 件の発表
2023-04-25 01:35:00
2023-04-25 03:00:00