The Importance of Pilot Studies for Gamified Research

Mohaddesi, Omid; Harteveld, Casper

doi:10.1145/3383668.3419889

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…The pretesting and piloting outcome was not included in the computation of the final data analysis. It has been indicated that pilot studies should not be included in the major study due to their underpowered small sample size (Mohaddesi and Harteveld, 2020).…”

Section: Methodsmentioning

confidence: 99%

The predictors of mobile government services adoption through social media: A case of Chinese citizens

Mensah

Wang

et al. 2022

Information Development

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This research studied the factors accounting for Chinese citizens’ behavioral adoption of mobile government services via social media platforms. Social media innovations have empowered governments to better interact and stay in touch with citizens, and thus understanding citizens’ adoption of government services via social media will enable policymakers to leverage social media to better meet the service requirements of citizens. Drawing upon the Chinese mobile-government context, this research framework was made on the Technology Acceptance Model (TAM) while the analysis of data was completed with Smart PLS by the use of the SEM procedure. The analysis has surprisingly discovered that perceived usefulness (PU) does not predict the adoption of mobile government services through social media. However, perceived information quality was significant in determining both the PU and adoption behavior. It was also shown that factors such as perceived security, perceived mobility, trendiness, and interactivity were all significant determinants of both the perceived usefulness and adoption intention respectively. The research and managerial consequences of the study outcomes on m-government development and diffusion are thoroughly considered.

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Section: Methodsmentioning

confidence: 99%

The predictors of mobile government services adoption through social media: A case of Chinese citizens

Mensah

Wang

et al. 2022

Information Development

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“…According to this policy, each agent orders or produces enough product to bring their inventory position to a predefined level based on a periodic review policy with zero fixed costs [205]. In a prior pilot study [223], we found initial evidence for the effect of disruption on human behavior 1 . Hence, we are interested in studying human 1 I will discuss this pilot study in more details in Chapter 7.…”

Section: Experimental Designmentioning

confidence: 89%

“…Conducting pilot studies with Gamettes was a vital step in fine-tuning the experiment and Gamette design for behavioral research. Before carrying out the experiment in Chapter 4, I conducted a pilot study using participants recruited from Amazon Mechanical Turk (MTurk) [223].…”

Section: Pilot Testingmentioning

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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To Trust or to Stockpile: Modeling Human-Simulation Interaction in Supply Chain Shortages

Mohaddesi

Griffin

Ergün

et al. 2022

CHI Conference on Human Factors in Computing Systems

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Understanding decision-making in dynamic and complex settings is a challenge yet essential for preventing, mitigating, and responding to adverse events (e.g., disasters, fnancial crises). Simulation games have shown promise to advance our understanding of decisionmaking in such settings. However, an open question remains on how we extract useful information from these games. We contribute an approach to model human-simulation interaction by leveraging existing methods to characterize: (1) system states of dynamic simulation environments (with Principal Component Analysis), (2) behavioral responses from human interaction with simulation (with Hidden Markov Models), and (3) behavioral responses across system states (with Sequence Analysis). We demonstrate this approach with our game simulating drug shortages in a supply chain context. Results from our experimental study with 135 participants show diferent player types (hoarders, reactors, followers), how behavior changes in diferent system states, and how sharing information impacts behavior. We discuss how our fndings challenge existing literature. CCS CONCEPTS• Human-centered computing → Empirical studies in HCI.

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The Importance of Pilot Studies for Gamified Research

Cited by 3 publications

References 16 publications

The predictors of mobile government services adoption through social media: A case of Chinese citizens

The predictors of mobile government services adoption through social media: A case of Chinese citizens

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

To Trust or to Stockpile: Modeling Human-Simulation Interaction in Supply Chain Shortages

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