Editor's Statement

James M. Honeycutt, K. Markman, A. D’Angiulli
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Abstract

The second issue of Volume 41 contains five studies. New research on coping with COVID-19 in terms of mental imagery in the form of imagined interactions. The first pair of studies examine imagine interactions with artificial intelligence in terms of Alexa and using imagined interactions to deal with unemployment and communication apprehension during the time of COVID-19 isolation. The third study examines moral identity and scaling, while the fourth study examines imagery in association with vividness and clarity. The final study examines dreams. We briefly highlight each article, in turn. The initial study dealing with imagined interactions is by Tim Gaspard and Phil Madison. They begin by noting how people and agents of artificial intelligence (AI) interact more frequently than before through voice-powered assistants such as Alexa. AI is treated as human interaction. They examine the use of six functions of imagined interactions (IIs)—rehearsal, self-understanding, relational maintenance, conflict linkage, compensation, and catharsis in conjunction with AI talk and actual human-to-human talk. Their implications are intriguing, insofar as humans and machine interactions coevolve in the 21st century. The ensuing study is by Mary Sealy. She investigated a covariate of loneliness, communication apprehension during the COVID-19 pandemic. As she noted, the COVID-19 restrictions restricted movement and physical access, including staying at home and working remotely; the so-called telework. It is interesting that as income increases, the proactivity of imagined interactions decreases during the pandemic coping, and as income increases, so does communication apprehensions regardless of the pandemic, and that those who earn more annually tend to experience higher levels of CA. Participants who identified themselves as shy, social, reserved, or outgoing, indicated experiencing a greater variety in their IIs, as well as more discrepant IIs. These findings indicate that, regardless of the social restrictions placed on society, an individual’s drive to be social and outgoing is what may truly impact their IIs and CA. Nonparametric tests resulted in several significant findings between employment status and the frequency, proactivity, variety, self-dominance, compensation, and relational maintenance aspects of IIs. Editorial
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第41卷第2期载有5项研究。以想象互动的形式进行心理意象应对COVID-19的新研究。第一组研究考察了在Alexa方面与人工智能的想象互动,并利用想象的互动来处理COVID-19隔离期间的失业和沟通障碍。第三项研究考察了道德认同和尺度,而第四项研究考察了与生动和清晰相关的意象。最后一项研究考察了梦。我们依次简要介绍每篇文章。蒂姆·加斯帕德(Tim Gaspard)和菲尔·麦迪逊(Phil Madison)对想象中的互动进行了初步研究。他们首先指出,通过Alexa等语音助手,人和人工智能(AI)代理的互动比以前更加频繁。人工智能被视为人类的互动。他们研究了想象互动(ii)的六种功能的使用——预演、自我理解、关系维护、冲突联系、补偿和宣泄,并结合人工智能对话和实际的人与人之间的对话。就人类和机器的互动在21世纪共同进化而言,它们的含义是有趣的。接下来的研究是玛丽·西利做的。她调查了COVID-19大流行期间孤独、沟通障碍的协变量。正如她所指出的,COVID-19的限制限制了行动和物理访问,包括呆在家里和远程工作;所谓的远程办公。有趣的是,随着收入的增加,在流行病应对期间想象互动的主动性降低,随着收入的增加,无论流行病如何,沟通忧虑也会增加,而且那些年收入较高的人往往会经历更高水平的CA。那些认为自己害羞、社交、保守或外向的参与者表示,他们的ii经历了更大的变化,以及更多的差异。这些发现表明,不管社会对社会的限制是什么,一个人的社交和外向的驱动力可能是真正影响他们的IIs和CA的因素。非参数测试得出了就业状况与IIs的频率、主动性、多样性、自我支配、薪酬和关系维护方面的几个重要发现。编辑
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