Everything you wanted to know about redemptive stories* (*but were afraid to ask)

Life stories organize personal experiences within broad temporal frameworks. Stories that are redemptive in nature progress from negative beginnings to positive endings. Psychologists have become increasingly interested in the tendency for individuals to both understand their lives using story-based principles and evoke redemptive imagery while so doing. Here, I consider the past (foundations), present (extant literature), and future (directions and controversies) of psychology’s redemptive story. Previously, work on redemptive stories has been informed by several theoretical vantages and analytic approaches. Currently, a sizable literature has emerged examining redemptive stories in relation to a number of processes and outcomes. In future, it will be crucial to explore moderations in these relations as well as redemption’s causal nature.     

Age differences in understanding precedent-setting decisions and authorities' responses to violations of deontic rules

Oral narrative skills are assumed to develop through parent-child interactive routines. One such routine is shared reading. A causal link between shared reading and narrative knowledge, however, has not been clearly established. The current research tested whether an 8-week shared reading intervention enhanced the fictional narrative skills of children entering formal education. Dialogic reading, a shared reading activity that involves elaborative questioning techniques, was used to engage children in oral interaction during reading and to emphasize elements of story knowledge. Participants were 40 English-speaking 5- and 6-year-olds who were assigned to either the dialogic reading group or an alternative treatment group. Analysis of covariance results found that the dialogic reading children’s posttest narratives were significantly better on structure and context measures than those for the alternative treatment children, but results differed for produced or retold narratives. The dialogic reading children also showed expressive vocabulary gains. Overall, this study concretely determined that aspects of fictional narrative construction knowledge can be learned from interactive book reading.     

医疗机器人的研究进展及伦理学思考

随着现代科技的日新月异,医疗机器人被广泛应用于医疗行业,大大推动了医学的发展,并成为机器人研究领域的热门方向之一。在简要介绍国内外医疗机器人研究进展及应用现状的基础上,本文指出该项技术存在的医疗责任追究机制不完善、缺少法律保障和规范、对医疗岗位冲击、无法体现对患者人文关怀等伦理问题;提出积极发展和推广医疗机器人技术的同时,推动人们对医疗机器人观念的更新,进一步制定和完善相关法律法规是解决该项技术伦理问题的关键。     

A brief thought on the future of global ethics: military robots and new food technologies

To deal with an uncertain future, global ethics as an academic endeavour might consider a common value we all share, such as sustainability, which acts as an all-encompassing term to indicate our future direction. Technologies of the near future that are currently in development hold problems and promise, and are clear subjects for the ethics of sustainability at a global level. Autonomous military combat robots, insects as food (entomophagy) and in vitro synthetically grown meat are significant cases. Such robots might in fact serve injustice and work against sustainability, and such novel food technologies may hold hope for promoting sustainability and global justice.     

Creating in Our Own Image: Artificial Intelligence and the Image of God

There is remarkable convergence between twentieth-century interpretations of the image of God ( imago Dei ), what it means for human beings to be created in God's image, and approaches toward creating in our own image in the field of artificial intelligence (AI). Both fields have viewed the intersection between God and humanity or humanity and computers in terms of either (1) a property or set of properties such as intelligence, (2) the functions we engage in or are capable of, or (3) the relationships we establish and maintain. Each of these three approaches reflects a different understanding of what stands at the core of our humanity. Functional and relational approaches were common in the late twentieth century, with a functional understanding the one most accepted by society at large. A relational view, however, gives new insights into human dignity in a computer age as well as new approaches to AI research.     

Bioinspired decision-making for a socially interactive robot

Nowadays, robots and humans coexist in real settings where robots need to interact autonomously making their own decisions. Many applications require that robots adapt their behavior to different users and remember each user’s preferences to engage them in the interaction. To this end, we propose a decision making system for social robots that drives their actions taking into account the user and the robot’s state. This system is based on bio-inspired concepts, such as motivations, drives and wellbeing, that facilitate the rise of natural behaviors to ease the acceptance of the robot by the users. The system has been designed to promote the human-robot interaction by using drives and motivations related with social aspects, such as the users’ satisfaction or the need of social interaction. Furthermore, the changes of state produced by the users’ exogenous actions have been modeled as transitional states that are considered when the next robot’s action has to be selected. Our system has been evaluated considering two different user profiles. In the proposed system, user’s preferences are considered and alter the homeostatic process that controls the decision making system. As a result, using reinforcement learning algorithms and considering the robot’s wellbeing as the reward function, the social robot Mini has learned from scratch two different policies of action, one for each user, that fit the users’ preferences. The robot learned behaviors that maximize its wellbeing as well as keep the users engaged in the interactions.     

Education biases perception of social robots

IntroductionRecent research on human–robot interactions (HRI) emphasizes a role of user's attitudes in perceiving robot's with different robot embodiments of varying levels of human likenesses. However, other human factors such as educational background may also help understanding of what conditions contribute to enhance social perception of robot's features.ObjectivesThis study aimed to determine how people's attitudes towards and familiarization with robots influence social perception of particular features of robots.MethodFirst, we measured attitudes towards robots among undergraduate students with diverse educational background (engineering vs. psychology). Then, participants were presented with short movies showing the behaviour of three robots with different levels of sociability. Finally, participants evaluated the characteristics of these robots on a scale.ResultsPeople more familiar with social robots and with more positive attitudes towards them evaluate robots with human traits more highly.ConclusionHuman perception of social robots resembles social phenomena related to human perception of other people.     

A robot’s sense-making of fallacies and rhetorical tropes. Creating ontologies of what humans try to say

In the design of user-friendly robots, human communication should be understood by the system beyond mere logics and literal meaning. Robot communication-design has long ignored the importance of communication and politeness rules that are ‘forgiving’ and ‘suspending disbelief’ and cannot handle the basically metaphorical way humans design their utterances. Through analysis of the psychological causes of illogical and non-literal statements, signal detection, fundamental attribution errors, and anthropomorphism, we developed a fail-safe protocol for fallacies and tropes that makes use of Frege’s distinction between reference and sense, Beth’s tableau analytics, Grice’s maxim of quality, and epistemic considerations to have the robot politely make sense of a user’s sometimes unintelligible demands.     

Extending affective capabilities for medical assistive robots

In this work, we discuss methodologies and implementation choices to enable a humanoid robot to estimate patients’ mood and emotions during postoperative home rehabilitation. The approach is modular and it has been implemented into a SoftBank Pepper robotic architecture; however, the approach is general and it can be easily adapted to other robotic platforms. A sample of an interactive session for the detection of the patient’s affective state is also reported.