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Mixed-Methods Evaluation of Metrics, Character Speed, and Camera FOV: Optimizing Immersion, Navigation, and Engagement in First-Person Level Design /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mixed-Methods Evaluation of Metrics, Character Speed, and Camera FOV: Optimizing Immersion, Navigation, and Engagement in First-Person Level Design /Junfeng Liu.
作者:	Liu, Junfeng,
面頁冊數:	1 electronic resource (71 pages)
附註:	Source: Masters Abstracts International, Volume: 86-12.
附註:	Advisors: Rowe, Tony A. Committee members: Lloyd, Rob; Polyak, Emil.
Contained By:	Masters Abstracts International86-12.
標題:	Design.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32116809
ISBN:	9798283480503

Mixed-Methods Evaluation of Metrics, Character Speed, and Camera FOV: Optimizing Immersion, Navigation, and Engagement in First-Person Level Design /
Liu, Junfeng,

Mixed-Methods Evaluation of Metrics, Character Speed, and Camera FOV: Optimizing Immersion, Navigation, and Engagement in First-Person Level Design /Junfeng Liu. - 1 electronic resource (71 pages)

Source: Masters Abstracts International, Volume: 86-12.

Establishing precise spatial metrics and player perspective parameters is fundamental to shaping player spatial experience in first-person level design. Yet, industry standards and empirical guidelines for integrating object size, character movement speed, and camera field of view (FOV) remain underdeveloped. This gap leaves level designers reliant on intuition and iterative trial-and-error, often resulting in inefficient workflows and unpredictable player experiences.This thesis investigates how three categories of level objects-navigation objects, visual cue objects, and environmental objects-interact with player movement speed and camera FOV to influence immersion, navigation clarity, and engagement. The research employs a mixed-methods approach, using a custom white-box playtesting level developed in Unity and based on Call of Duty: Warzone's Caldera (Activision, 2024) map. The experimental level features both indoor and outdoor spaces, systematically manipulated across six experimental conditions varying metrics, movement speed, and FOV. Twelve participants completed playtesting tasks under these controlled conditions.Three complementary data sources were collected: (1) objective level completion times, (2) volumetric heatmaps of player routes, and (3) subjective spatial experience ratings via post-play Likert-scale questionnaires. Multiple regression analyses and cross-validation triangulation were employed to examine independent and interactive effects of metrics, speed, and FOV shape multidimensional player spatial experience.Findings demonstrate that each parameter not only exerts distinct influences on spatial experience dimensions but also interacts non additively. Larger object metrics and reduced character speed reliably promote deeper spatial exploration and immersion, while expanded FOV enhances navigation and engagement. Notably, parameter combinations yield non-linear effects, reinforcing the necessity for designers to consider interdependencies among spatial metrics, movement, and perspective.The thesis offers empirically grounded, data-driven recommendations for early-stage white-box level design, providing actionable guidelines for object scaling, movement tuning, and FOV selection. These findings contribute to both game research and practice by establishing a robust, mixed methods framework for evaluating and optimizing player spatial experience. The methodological approach and results support the development of more efficient design workflows and the creation of engaging, navigable, and immersive first-person game environments.

English

ISBN: 9798283480503Subjects--Topical Terms:

204000
Design.
Subjects--Index Terms:

Camera field of view

Mixed-Methods Evaluation of Metrics, Character Speed, and Camera FOV: Optimizing Immersion, Navigation, and Engagement in First-Person Level Design /
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