Pregled bibliografske jedinice broj: 977711
Exploring the Effect of Experience on Team Behavior: A Computational Approach
Exploring the Effect of Experience on Team Behavior: A Computational Approach // Design Computing and Cognition '18 / Gero, John S. (ur.).
Lecco, Italija: Springer, 2019. str. 595-612 doi:10.1007/978-3-030-05363-5_32 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 977711 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Exploring the Effect of Experience on Team Behavior: A Computational Approach
Autori
Perišić, Marija Majda ; Štorga, Mario ; Gero, John S.
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Design Computing and Cognition '18
/ Gero, John S. - : Springer, 2019, 595-612
ISBN
978-3-030-05362-8
Skup
8th International Conference on Design Computing and Cognition
Mjesto i datum
Lecco, Italija, 02.07.2018. - 04.07.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Agent-based modeling ; Team behaviour ; Team experience ; Knowledge grounding ; Product design
Sažetak
The paper presents the results of research aimed at contributing to a better understanding of the effect of team experience and learning on the performance of a design team. An agent-based model of the design team was developed, and computational simulations were utilized to study how agent’s knowledge changes by its use and what are the effects of such changes on the team behavior. Particularly, hypotheses stating that as team members work together, they become more efficient and explore less have been studied. Computational experiments demonstrated the positive impact of learning and prior experience on team efficiency and indicated that team experience has a strong influence on the breadth of solutions examined by a team in a constructive task. However, results also suggest that increased knowledge grounding could have detrimental effects on a team’s performance when teams are faced with tasks which do not fall into team’s expertise.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Dizajn, Kognitivna znanost (prirodne, tehničke, biomedicina i zdravstvo, društvene i humanističke znanosti)
POVEZANOST RADA
Projekti:
HRZZ-IP-2013-11-6430 - Modeli i metode upravljanja inovacijama u razvoju kompleksnih inženjerskih sustava (MInMED) (Štorga, Mario, HRZZ - 2013-11) ( CroRIS)
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb