Nathan Sanders's research while affiliated with North Carolina State University and other places
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Publications (5)
Conducting an EEG-based neuroergonomics experiment can be a daunting task for novice researchers. This chapter provides an overview of three aspects of EEG research which we hope will help novice researchers efficiently produce meaningful and replicable results: power analysis, data preprocessing, and reporting. We explain why power analysis and sa...
The decision to trust is the foundation for proper functioning in technology, work, and social environments. For this reason, it is of critical interest to understand and investigate the brain mechanisms involved in human trust for the neuroergonomics community. This chapter seeks to review the current understanding of the neurotransmitters and dif...
As autonomous systems become more prevalent and their inner workings become more opaque, we increasingly rely on trust to guide our interactions with them especially in complex or rapidly evolving situations. When our expectations of what automation is capable of do not match reality, the consequences can be sub-optimal to say the least. The degree...
The aim of this chapter is to review the state of the art of BCI-based expressive arts, and review the possibilities as well as challenges involved in artistic expression and therapeutic applications of BCIs. We introduce the field of artistic BCI, its history, most common taxonomies and points of intersection with expressive arts-based therapies....
Citations
... Ergo, we reasoned that hippocampal morphometry and connectivity would be more correlated with metacognition (SS) and perspective-taking (SO). While for OS (the ability to see "ourselves from the outside" [Asen & Fonagy, 2012]), a higherorder mentalising component for complex social interactions, especially for trust or deception , we speculated that the amygdala would show a closer link to this component based on the indispensable role of the amygdala in developing and expressing interpersonal trust (Eskander et al., 2020;Haas et al., 2015;Koscik & Tranel, 2011;Santos et al., 2016). ...
... In order to prevent and mitigate consequences of a poor statistical power, it is generally recommended to estimate the proper sample size. To this end, different studies recently tried to propose methods to easily calculate the required sample size while designing the experimental protocol [3][4][5][6][7][8]. Additionally, sometimes it is not only strictly a problem of sample size, intended as the number of participants, but also the concerns of trial numbers, i.e., the number of tasks and repetitions should be carefully considered [9]. ...
... Contemporary technology advances in automation, artificial intelligence (AI), and computational algorithms has created great benefits for human operators, along with increases in adverse or unexpected consequences [1], [2], [3]. To ensure safe and seamless human-machine interaction (HMI), trust between humans and machines (in the form of AI or automated tools) has become a widely discussed topic over the past three decades [4], [5], [6]. ...
