Situation Awareness, Mental Models and Understanding

Teichmann, Mare; Motus, Leo

doi:10.1109/cogsima51574.2021.9475920

Cited by 6 publications

(2 citation statements)

References 40 publications

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“…Finally, as for the third, Endsley [28] introduced the theory of Situation Awareness (SA) in dynamic decision-making and proposed its use for studying mental models [29]. SA model has been extensively and empirically researched through numerous studies by Endsley [30][31][32][33] and others [3,13,87]. Therefore, we rely on the SA model for approximating players' mental model development over time.…”

Section: Dynamic Decision Making In Interactive Systemsmentioning

confidence: 99%

Thought Bubbles: A Proxy into Players' Mental Model Development

Mohaddesi,

Chicoine,

Gong

et al. 2023

Preprint

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Studying mental models has recently received more attention, aiming to understand the cognitive aspects of human-computer interaction. However, there is not enough research on the elicitation of mental models in complex dynamic systems. We present Thought Bubbles as an approach for eliciting mental models and an avenue for understanding players' mental model development in interactive virtual environments. We demonstrate the use of Thought Bubbles in two experimental studies involving 250 participants playing a supply chain game. In our analyses, we rely on Situation Awareness (SA) levels, including perception, comprehension, and projection, and show how experimental manipulations such as disruptions and information sharing shape players' mental models and drive their decisions depending on their behavioral profile. Our results provide evidence for the use of thought bubbles in uncovering cognitive aspects of behavior by indicating how disruption location and availability of information affect people's mental model development and influence their decisions.CCS Concepts: • Human-centered computing → Empirical studies in HCI; User studies.

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Section: Dynamic Decision Making In Interactive Systemsmentioning

confidence: 99%

Thought Bubbles: A Proxy into Players' Mental Model Development

Mohaddesi,

Chicoine,

Gong

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…Finally, as for the third, Endsley [178] introduced the theory of SA in dynamic decisionmaking and proposed its use for studying mental models [179]. SA model has been extensively and empirically researched through numerous studies by Endsley [180,181,182,183] and others [184,185,186]. Therefore, in Chapter 5, I rely on the SA model for approximating players' mental model development over time.…”

Section: Modeling Behavior In Dynamic Decision Makingmentioning

confidence: 99%

Understanding human decision-making in supply chains: using serious gaming for modeling action, thought, and the environment

Mohaddesi

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Dissertation xivEvery significant accomplishment is the fruit of the collective effort, inspiration, and guidance from many. This dissertation is no exception, and I find myself deeply grateful to everyone who has accompanied me on this journey.First and foremost, I would like to express my sincerest appreciation to my advisor, Dr. Casper Harteveld, whose unwavering support, guidance, and invaluable mentorship have been indispensable. Not only did Casper fund my research but has also shared his wealth of insights and expertise at every stage of my Ph.D. journey. From teaching me to be rigorous in conducting experiments to offering guidance on when to pivot during my research, he has always illuminated my path and played a pivotal role in shaping the trajectory and quality of my work.My gratitude extends to the members of my dissertation committee, Dr. Ozlem Ergun, Dr. Jaqueline Griffin, and Dr. Stacy Marsella. Their thoughtful comments, constructive criticism, and valuable suggestions have significantly enhanced the overall quality of my dissertation. Their expertise has been invaluable to me, and with their continuous support and guidance, they played a significant role in shaping the final outcome of this work. I am equally thankful to Dr. David Kaeli, for his constant feedback and guidance, particularly regarding the setup of game servers for my experiments. Prof. Kaeli's support greatly contributed to the success of this research. Additionally, as co-authors, Dr. Ergun, Dr. Griffin, Dr. Marsella, and Dr. Kaeli have all made significant contributions to the writing of publications associated with this dissertation. I am truly grateful for their dedication and commitment to my academic journey.The research undertaken in the preparation of this dissertation was both collaborative and interdisciplinary in its truest sense. In light of this, I feel compelled to extend my heartfelt thanks to my esteemed collaborators from the Drug Shortages team at Northeastern University. From the inception of my Ph.D. journey, Dr. Rozhin Doroudi and Dr. Rana Azghandi provided vital inputs to shape my research. Additionally, the instrumental role of Dr. Yifan Sun cannot be overstated. His expertise and assistance in setting up the game server for data collection from experiments was pivotal. The contributions of Noah Chicoine and Min Gong were equally significant, particularly in their help with qualitative data analysis. These individuals have proven themselves to be much more than collaborators; they have been critical contributors as co-authors of the articles produced from this research. Last but not least, I would like to express my gratitude to Dr. Pedro Sequeira for his insightful comments which enhanced the quality of my work.An integral part of this dissertation was the employment of StudyCrafter, an innovative platform used for designing games and conducting behavioral experiments. Given the significance of this tool in my research, it is fitting that I convey my deepest appreciation to the dedicated members of the Study...

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