東華大學圖書館 |

Don't Stand in the Fire!: Effective Collaboration, Communication, Interactions, And Strategy in Mediated Environments - A Discourse Analytic Approach to Mmorpg Streaming on Twitch /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Don't Stand in the Fire!: Effective Collaboration, Communication, Interactions, And Strategy in Mediated Environments - A Discourse Analytic Approach to Mmorpg Streaming on Twitch // Sarah C Jackson.
作者:	Jackson, Sarah C.,
面頁冊數:	1 electronic resource (215 pages)
附註:	Source: Dissertations Abstracts International, Volume: 86-05, Section: B.
Contained By:	Dissertations Abstracts International86-05B.
標題:	Problem solving. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31631331
ISBN:	9798346393870

Don't Stand in the Fire!: Effective Collaboration, Communication, Interactions, And Strategy in Mediated Environments - A Discourse Analytic Approach to Mmorpg Streaming on Twitch /
Jackson, Sarah C.,

Don't Stand in the Fire!: Effective Collaboration, Communication, Interactions, And Strategy in Mediated Environments - A Discourse Analytic Approach to Mmorpg Streaming on Twitch /Sarah C Jackson. - 1 electronic resource (215 pages)

Source: Dissertations Abstracts International, Volume: 86-05, Section: B.

Emerging research shows increased academic interest in the exploration of multimodal, multiagent interactional practices in technologically mediated environments, particularly videogaming and livestreaming (Anderson, 2017; Brown & Anderson, 2021; Goncalves et al., 2023). One such livestreaming platform,Twitch.tv, has garnered attention for its support of multiple interactional modalities and agents (Recktenwald, 2017), including streamer and audience, as well as game-elements and coplayers. Twitch.tvallows communication through multiple modalities. Some interactions on the platform are not only between streamer and audience, but also among streamer, game, and coplayers while performing extremely challenging in-game feats. A videogame sub-genre commonly necessitating this type of interaction is the Massively Multiplayer Online Role-Playing Game (MMORPG; MMO). The combination of Twitch-MMO livestreaming represents some of the most complicated interactional data available on the internet (Casañ-Pitarch, 2022). While previous research has established the subject area and preliminary means of investigation (Recktenwald, 2018), few studies have conducted close, multimodal discursive analysis of the complex communicative modes. Specifically, previous research has not explored the ubiquitous strategizing and collaborative interactional practices in these environments.To address these gaps, this study employs a Multimodal Discourse Analytic (MMDA) approach (Kress & van Leeuwen, 2001) and the macro-meso-micro approach (Jackson & Strauss, 2022; Strauss & Eun, 2024; Strauss et al., 2019) to investigate collaborative interactional practices in these environments. More specifically, this study focuses on discourses that take place during strategizing, reevaluation of strategy, gameplay (both successful and unsuccessful) and social interactions across modes.The analysis is based on ~25 hours of audio-visual and chat data from Twitch livestreams of World of Warcraft and Final Fantasy XIV.Drawing from the Theory of Planned Behavior (Azjen, 1991) and Actor-Network Theory (Latour, 2005), the study examines how meaning is made and maintained across modes and agents and how intentions/ goals manifest in discourse to facilitate effective interactions and game success. Due to the study's nature, additional methodological strides were made in the development of a study-specific data collection strategy and a new ANT-based data transcription and representation method focusing on the depiction of highly multimodal digital data.The findings reveal that players engage with non-human elements as discursive interlocutors, manipulate the virtual ecology (game space), and employ multimodal deixis, epistemic stance, avatar action, and chat interactions to communicate ideas. In instances of failure, negotiated discussions of unplanned, impulsive, or ineffective actions occur, leading to the development and implementation of new strategies. This study contributes to understanding technologically based communications across modes and agents, such as AR and VR, and has implications for the development and linguistic study of AI technologies. Moreover, the findings can be applied to other complex collaborative contexts, enhancing safety, efficiency, and teamwork.

English

ISBN: 9798346393870Subjects--Topical Terms:

516855
Problem solving.

Don't Stand in the Fire!: Effective Collaboration, Communication, Interactions, And Strategy in Mediated Environments - A Discourse Analytic Approach to Mmorpg Streaming on Twitch /
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