<p>This paper is a qualitative study that utilizes game players to learn more about the impact of game narrative, and to use this information to understand more of its role in the production of<br> games. Initial research into the topic revealed that many competing interests drive game production, but that if narrative was “down-prioritized” in production, a game was more likely to suffer compounding issues that could result in a poor end-product and launch. This nets monetary consequences for a studio, but also severely impacts the team of developers. As the game industry already faces widespread issues with crunch, long work hours over long periods of time, any additional strain on production exacerbates existing issues. Game production documentation is often held privately as the trade secrets of a given studio, so the most feasible way to address these questions is to seek a successful game with amble published documentation and compare those resources to the experiences players themselves have with the title. The Legend of Zelda: Breath of the Wild was the game chosen.<br> A sample of 18 students from Purdue University completed an initial interest survey and provided demographic information. Of those who played games regularly, 4 participants were randomly selected to move forward with an audio and video recorded gameplay session that utilized a think-aloud protocol to capture moment-to-moment experience, and then an audio recorded interview about their experiences. These methods were employed to generate transcripts of their thoughts and experiences where the researcher conducted a thematic analysis of the content. Fifteen codes were synthesized from these transcripts and found that through the context of narrative, participants expressed that gameplay, aesthetics, and critical paths in a game facilitated their experiences with narrative. Participants approached the game and spoke about narrative in a variety of ways during the game session, but all came away with similar conclusions when interviewed. This suggests that game elements that convey narrative are highly effective and opens questions into how changes to those elements can sway interpretation and if that can be controlled for. Further, studying the patterns between these elements and determining what creates the most meaning for players could open new avenues for efficient game design. </p>

<p>Upon introducing semi- and fully automated vehicles on the road, drivers will be reluctant to focus on the traffic interaction and rely on the vehicles' decision-making. However, encountering pedestrians still poses a significant difficulty for modern automated driving technologies. Considering the high-level complexity in human behavior modeling to solve a real-world problem, deep-learning algorithms trained from naturalistic data have become promising solutions. Nevertheless, although developing such algorithms is achievable based on scene data collection and driver knowledge extraction, evaluation remains challenging due to the potential crash risks and limitations in acquiring ground-truth intention changes. </p> <p><br></p> <p>This study proposes a VR-based testing bed to evaluate real-time pedestrian intention algorithms as VR simulators are recognized for their affordability and adaptability in producing a variety of traffic situations, and it is more reliable to conduct human-factor research in autonomous cars. The pedestrian wears the head-mounted headset or uses the keyboard input and makes decisions in accordance with the circumstances. The simulator has added a credible and robust experience, essential for exhibiting the real-time behavior of the pedestrian. While crossing the road, there exists uncertainty associated with pedestrian intention. Our simulator will anticipate the crossing intention with consideration of the ambiguity of the pedestrian behavior. The case study has been performed over multiple subjects in several crossing conditions based on day-to-day life activities. It can be inferred from the study outcomes that the pedestrian intention can be precisely inferred using this VR-based simulator. However, depending on the speed of the car and the distance between the vehicle and the pedestrian, the accuracy of the prediction can differ considerably in some cases.</p>

<p dir="ltr">In this paper, we address the gap in people's perceptions of using artificial intelligence (AI) in animation, mainly focusing on AI-based motion capture. We aimed to understand how individuals perceived animations created by AI, manual, and AI with manual cleanup methods. We presented our participants with short, full-body animation clips created using the three methods. Participants rated the appeal and naturalness of the animations, and we asked them to discern the creation method. Results revealed differences in perceived appeal and naturalness between manually created animations and those generated through AI-involved methods, with manual animations consistently rated higher. However, participants were unable to discern creation methods regardless of animation experience level, demonstrating an accuracy equivalent to random guessing. Moreover, the qualitative analysis highlighted diverse perspectives with negative and positive views on AI use, with the most mentioned theme being the importance of quality regardless of creation method. The overwhelming majority of participants asserted that the degree of automatization would influence their perceived value and effort put into an animation. Still, this group didn't show divergent ratings, nor did it affect their overall agreeableness towards using AI in creative fields. This study contributes valuable insights into the intersection of animation and AI, informing creators about the effect of different creation methods on audience perceptions.</p>

<p dir="ltr">Since the Electronic Software Association (ESA) began reporting data for the video game industry in 2002, women have represented nearly half of the game playing population. However, despite this stable statistic, the industry’s ideal “Gamer” is consistently depicted as a young, white, cisgender, heterosexual, able-bodied male, and the games industry frequently targets this idealized identity through advertising and game design. This has resulted in a culture that is notably toxic towards women and marginalized players, built on an assumption of meritocracy within games—or the expectation that every player begins each game with the same advantages, disadvantages, and skills as every other player. While the construction of gamer identity has received extensive scholarly attention, gaming peripherals—such as video game controllers—are either minimized or left entirely out of the conversation. This dissertation, informed by feminist methodologies in technical communication and game studies, uses a mixed-methods approach involving archival research, visual analysis, surveys, and interviews to understand the intersections of video game controllers and gamer identity. Using Microsoft’s Xbox as a case study, the findings demonstrate how a dominant narrative has controlled controller design decisions through iterative processes. This has resulted in controllers that are more uncomfortable, more unusable, and more frustrating for and viewed more negatively by women and marginalized players. For each controller iteration, women and marginalized participants rated controllers significantly lower. Though the total improvement score (TIS) from first iteration to current iteration were similar between women and marginalized participants and cismale participants, the lower starting point for women and marginalized participants resulted in a lower ending point. Design decisions across controller iterations privilege cismale experiences, reifying gamer identity through controller design and resulting in not just an ideal gamer identity, but an ideal gamer body. </p>

<p>External representations (ERs) used in science education are multimodal ensembles consisting of design elements to convey educational meanings to the audience. As an example of a dynamic ER, an animation presenting its content features (i.e., scientific concepts) via varying the feature’s depiction over time. A production team invited the dissertation author to inspect their creation of a biochemistry animation about the role of the actin cytoskeleton in cell motility and the animation’s implication on learning. To address this, the author developed a four-step methodology entitled the Multimodal Variation Analysis of Dynamic External Representations (MVADER) that deconstructs the animation’s content and design to inspect how each content feature is conveyed via the animation’s design elements.</p><p><br></p><p> </p><p>This dissertation research investigated the actin animation’s educational value and the MVADER’s utility in animation evaluation. The research design was guided by descriptive case study methodology and an integrated framework consisting of the variation theory, multimodal analysis, and visual analytics. As stated above, the animation was analyzed using MVADER. The development of the actin animation and the content features the production team members intended to convey via the animation were studied by analyzing the communication records between the members, observing the team meetings, and interviewing the members individually. Furthermore, students’ learning experiences from watching the animation were examined via semi-structured interviews coupled with post- storyboarding. Moreover, the instructions of MVADER and its applications in studying the actin animation were reviewed to determine the MVADER’s usefulness as an animation evaluation tool.</p><p><br></p><p> </p><p>Findings of this research indicate that the three educators in the production team intended the actin animation to convey forty-three content features to the undergraduate biology students. At least 50% of the student who participated in this thesis learned thirty-five of these forty-three (> 80%) features. Evidence suggests that the animation’s effectiveness to convey its features was associated with the features’ depiction time, the number of identified design elements applied to depict the features, and the features’ variation of depiction over time.</p><p><br></p><p>Additionally, one-third of the student participants made similar mistakes regarding two content features after watching the actin animation: the F-actin elongation and the F-actin crosslink structure in lamellipodia. The analysis reveals the animation’s potential design flaws that might have contributed to these common misconceptions. Furthermore, two disruptors to the creation process and the educational value of the actin animation were identified: the vagueness of the learning goals and the designer’s placement of the animation’s beauty over its reach to the learning goals. The vagueness of the learning goals hampered the narration scripting process. On the other hand, the designer’s prioritization of the animation’s aesthetic led to the inclusion of a “beauty shot” in the animation that caused students’ confusion.</p><p><br></p><p> </p><p>MVADER was used to examine the content, design, and their relationships in the actin animation at multiple aspects and granularities. The result of MVADER was compared with the students’ learning outcomes from watching the animation to identify the characteristics of content’s depiction that were constructive and disruptive to learning. These findings led to several practical recommendations to teach using the actin animation and create educational ERs.</p><p><br></p><p> </p><p>To conclude, this dissertation discloses the connections between the creation process, the content and design, and the educational implication of a biochemistry animation. It also introduces MVADER as a novel ER analysis tool to the education research and visualization communities. MVADER can be applied in various formats of static and dynamic ERs and beyond the disciplines of biology and chemistry.</p>