Familiarity in Team-Based Online Games: The Interplay Between Player Familiarity and the Concepts of Social Presence, Team Trust, and Performance

Hudson, Matthew; Cairns, Paul; Nordin, A. Imran

doi:10.1007/978-3-319-25939-0_13

Cited by 5 publications

(2 citation statements)

References 27 publications

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“…After excluding safety and privacy concerns, the main reason would be: people believe that playing with familiar people guarantees good collaboration and a successful outcome. Because they have mutual awareness of each other's game level and strategies which can build "team trust" [32]. However, not everyone has enough friends and families to play together, so playing with "strangers" is unavoidable for many players.…”

Section: Aention To the Communication Needs And Interoperability In Lbgsmentioning

confidence: 99%

Understanding Social Interactions in Location-based Games as Hybrid Spaces: Coordination and Collaboration in Raiding in Pokémon GO

Papagelis

Dunham

et al. 2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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The overlaying of physical spaces with digital information produces hybrid spaces, redening people's experience of social interactions.Location-based games (LBGs) with social components are a good case. Yet, the impact LBGs have on sociability remains underresearched. In April 2020, the new in-person/remote raiding format in the LBG Pokémon GO provided a lens to explore people's social interactions in hybrid spaces. We interviewed 41 Pokémon GO players to understand how players coordinate and collaborate for in-person/remote raids and other social patterns. Our ndings demonstrate that new social dynamics occurred: participants' social interactions highly rely on external social media groups bridging cyberspace and the physical world. In such external social media groups, spontaneously formed leadership roles and mentor-mentee relationships demonstrate autonomy among players in the hybrid space. However, we observed that the interoperability issue challenges people's experience. Overall, this work sheds light on the social interactions in LBGs as hybrid spaces.CCS Concepts: • Human-centered computing ! Empirical studies in collaborative and social computing; User studies.

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Section: Aention To the Communication Needs And Interoperability In Lbgsmentioning

confidence: 99%

Understanding Social Interactions in Location-based Games as Hybrid Spaces: Coordination and Collaboration in Raiding in Pokémon GO

Papagelis

Dunham

et al. 2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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“…Familiarity was shown to have an impact both on team formation and on team performance. In online gaming communities, Hudson et al [12] showed that familiarity and team trust are positively correlated and they improve team performance. Waddell and Peng [20] showed that positive familiarity leads to repeated play, which leads to friendship.…”

Section: Related Workmentioning

confidence: 99%

An Empirical Study on Team Formation in Online Games

Alhazmi

Horawalavithana

Skvoretz

et al. 2017

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017

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Abstract-Online games provide a rich recording of interactions that can contribute to our understanding of human behavior. One potential lesson is to understand what motivates people to choose their teammates and how their choices lead to performance. We examine several hypotheses about team formation using a large, longitudinal dataset from a team-based online gaming environment. Specifically, we test how positive familiarity, homophily, and competence determine team formation in Battlefield 4, a popular team-based game in which players choose one of two competing teams to play on. Our dataset covers over two months of in-game interactions between over 380,000 players. We show that familiarity is an important factor in team formation, while homophily is not. Competence affects team formation in more nuanced ways: players with similarly high competence team-up repeatedly, but large variations in competence discourage repeated interactions.

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