Forecasting Transitions in Digital Society: From Social Norms to AI Applications

The use of AI and digitalization in many areas of everyday life holds great potential but also introduces significant societal transitions. This paper takes a closer look at three exemplary areas of central social and psychological relevance that might serve as a basis for forecasting transitions in the digital society: (1) social norms in the context of digital systems; (2) surveillance and social scoring; and (3) artificial intelligence as a decision-making aid or decision-making authority. For each of these areas, we highlight current trends and developments and then present future scenarios that illustrate possible societal transitions, related questions to be answered, and how such predictions might inform responsible technology design

The Eternal Robot: Anchoring Effects in Humans' Mental Models of Robots and Their Self

Current robot designs often reflect an anthropomorphic approach, apparently aiming to convince users through an ideal system, being most similar or even on par with humans. The present paper challenges human-likeness as a design goal and questions whether simulating human appearance and performance adequately fits into how humans think about robots in a conceptual sense, i.e., human's mental models of robots and their self. Independent of the technical possibilities and limitations, our paper explores robots' attributed potential to become human-like by means of a thought experiment. Four hundred eighty-one participants were confronted with fictional transitions from human-to-robot and robot-to-human, consisting of 20 subsequent steps. In each step, one part or area of the human (e.g., brain, legs) was replaced with robotic parts providing equal functionalities and vice versa. After each step, the participants rated the remaining humanness and remaining self of the depicted entity on a scale from 0 to 100%. It showed that the starting category (e.g., human, robot) serves as an anchor for all former judgments and can hardly be overcome. Even if all body parts had been exchanged, a former robot was not perceived as totally human-like and a former human not as totally robot-like. Moreover, humanness appeared as a more sensible and easier denied attribute than robotness, i.e., after the objectively same transition and exchange of the same parts, the former human was attributed less humanness and self left compared to the former robot's robotness and self left. The participants' qualitative statements about why the robot has not become human-like, often concerned the (unnatural) process of production, or simply argued that no matter how many parts are exchanged, the individual keeps its original entity. Based on such findings, we suggest that instead of designing most human-like robots in order to reach acceptance, it might be more promising to understand robots as an own "species" and underline their specific characteristics and benefits. Limitations of the present study and implications for future HRI research and practice are discussed

Mindfulness, Self-Compassion, Executive Functioning, and Stress: Exploring a Process Model in Adolescents

The association of trait mindfulness with emotional well-being has been found to be mediated by executive functioning. However, there is little empirical evidence on this process in adolescents. Therefore, this study tested these associations using an adolescent sample participating in a physical education yoga class. This study extended previous research by also including self-compassion and state mindfulness in addition to trait mindfulness. A prospective design employed a pilot yoga curriculum in a high school physical education class. Adolescents (N = 20) completed assessments of trait mindfulness and self-compassion at baseline, state mindfulness experienced during yoga classes over the 12 week physical education yoga class, and six indices of executive functioning and stress at the end of the 12 weeks. Path analysis was used to test the process model found by Short with the extensions of self-compassion and state mindfulness. Self-compassion directly predicted problems with activity level impulse control and indirectly predicted stress. When self-compassion did not predict specific executive functioning indicators, state mindfulness experienced in yoga predicted stress. This study contributes preliminary evidence that suggests further research into the unique effects of trait and state mindfulness as well as self-compassion on adolescent cognitive and affective outcomes. Results support the use of contemplative practices, such as yoga, in adolescent physical education as a strategy to boost emotion regulation processes

Tumor Biology and Racial Disparities in Reconstruction After Mastectomy: A SEER Database Analysis

Introduction: Significant disparities in immediate breast reconstruction after mastectomy have persisted, and may even be increasing, despite large-scale efforts to minimize them, such as the Women’s Health and Cancer Rights Act of 1998. Immediate breast reconstruction has been shown to lead to higher rates of surgical satisfaction, minimize delay in post-operative cancer treatment, and improve the quality of life and overall well-being of mastectomy patients. However only 25-40% of eligible women in the United States receive reconstruction. The rate of reconstruction is even lower in African American and Hispanic women compared to White women. To better understand this disparity, this study uses national population-based data to examine how demographic factors, socioeconomic factors, and disease characteristics interact and affect the rate of immediate breast reconstruction (IBR) after mastectomy. Methods: Women with AJCC7 Stage 0-III breast cancer who underwent mastectomy from 2010 to 2012 were identified in the Surveillance, Epidemiology and End Results Program (SEER) database. Race, Hispanic ethnicity, age, marital status, insurance status, tumor grade, AJCC7 stage and hormone receptor/ Her2Neu profile were compared between women undergoing mastectomy with IBR and mastectomy alone using univariate and multivariate analysis. Results: We identified 51,115 women who underwent mastectomy for Stage 0-III breast cancer from 2010-2012, of whom 15,389 (30.1%) received IBR. On multivariate analysis, age (p Conclusion: The decision to undergo reconstruction after mastectomy is influenced by many factors. Our results show that even after adjusting for tumor characteristics, socioeconomic factors are independently associated with receiving IBR after mastectomy. Further research is needed to elucidate the factors that influence the decision to undergo IBR in order to eliminate these persistent disparities

Invisible but Understandable: In Search of the Sweet Spot between Technology Invisibility and Transparency in Smart Spaces and Beyond

Smart technology is already present in many areas of everyday life. People rely on algorithms in crucial life domains such as finance and healthcare, and the smart car promises a more relaxed driving experience—all the while, the technology recedes further into the background. The smarter the technology, the more intransparent it tends to become. Users no longer understand how the technology works, what its limits are, and what consequences regarding autonomy and privacy emerge. Both extremes, total invisibility and total transparency, come with specific challenges and do not form reasonable design goals. This research explores the potential tension between smart and invisible versus transparent and understandable technology. We discuss related theories from the fields of explainable AI (XAI) as well as trust psychology, and then introduce transparency in smart spaces as a special field of application. A case study explores specific challenges and design approaches through the example of a so-called room intelligence (RI), i.e., a special kind of smart living room. We conclude with research perspectives for more general design approaches and implications for future research

Functional analysis of the magnetosome island in Magnetospirillum gryphiswaldense: the mamAB operon is sufficient for magnetite biomineralization

Bacterial magnetosomes are membrane-enveloped, nanometer-sized crystals of magnetite, which serve for magnetotactic navigation. All genes implicated in the synthesis of these organelles are located in a conserved genomic magnetosome island (MAI). We performed a comprehensive bioinformatic, proteomic and genetic analysis of the MAI in Magnetospirillum gryphiswaldense. By the construction of large deletion mutants we demonstrate that the entire region is dispensable for growth, and the majority of MAI genes have no detectable function in magnetosome formation and could be eliminated without any effect. Only <25% of the region comprising four major operons could be associated with magnetite biomineralization, which correlated with high expression of these genes and their conservation among magnetotactic bacteria. Whereas only deletion of the mamAB operon resulted in the complete loss of magnetic particles, deletion of the conserved mms6, mamGFDC, and mamXY operons led to severe defects in morphology, size and organization of magnetite crystals. However, strains in which these operons were eliminated together retained the ability to synthesize small irregular crystallites, and weakly aligned in magnetic fields. This demonstrates that whereas the mamGFDC, mms6 and mamXY operons have crucial and partially overlapping functions for the formation of functional magnetosomes, the mamAB operon is the only region of the MAI, which is necessary and sufficient for magnetite biomineralization. Our data further reduce the known minimal gene set required for magnetosome formation and will be useful for future genome engineering approaches

Can Robots Earn Our Trust the Same Way Humans Do?

Robots increasingly act as our social counterparts in domains such as healthcare and retail. For these human-robot interactions (HRI) to be effective, a question arises on whether we trust robots the same way we trust humans. We investigated whether the determinants competence and warmth, known to influence interpersonal trust development, influence trust development in HRI, and what role anthropomorphism plays in this interrelation. In two online studies with 2 × 2 between-subjects design, we investigated the role of robot competence (Study 1) and robot warmth (Study 2) in trust development in HRI. Each study explored the role of robot anthropomorphism in the respective interrelation. Videos showing an HRI were used for manipulations of robot competence (through varying gameplay competence) and robot anthropomorphism (through verbal and non-verbal design cues and the robot's presentation within the study introduction) in Study 1 (n = 155) as well as robot warmth (through varying compatibility of intentions with the human player) and robot anthropomorphism (same as Study 1) in Study 2 (n = 157). Results show a positive effect of robot competence (Study 1) and robot warmth (Study 2) on trust development in robots regarding anticipated trust and attributed trustworthiness. Subjective perceptions of competence (Study 1) and warmth (Study 2) mediated the interrelations in question. Considering applied manipulations, robot anthropomorphism neither moderated interrelations of robot competence and trust (Study 1) nor robot warmth and trust (Study 2). Considering subjective perceptions, perceived anthropomorphism moderated the effect of perceived competence (Study 1) and perceived warmth (Study 2) on trust on an attributional level. Overall results support the importance of robot competence and warmth for trust development in HRI and imply transferability regarding determinants of trust development in interpersonal interaction to HRI. Results indicate a possible role of perceived anthropomorphism in these interrelations and support a combined consideration of these variables in future studies. Insights deepen the understanding of key variables and their interaction in trust dynamics in HRI and suggest possibly relevant design factors to enable appropriate trust levels and a resulting desirable HRI. Methodological and conceptual limitations underline benefits of a rather robot-specific approach for future research

Ethnografische Eye-Tracking-Interviews: zur Analyse von visuellen Wahrnehmungsprozessen und Praktiken des Anschauens

In this article, we present methods for the use of eye-tracking in interviews in order to reflect on visual perception and practices of looking as part of an ethnography of the senses. The methods are based on two multi-year ethnographic studies involving eye trackers. In the first one, researchers used mobile eye trackers to study how art museum visitors approach digital image technologies. In the other, they relied on stationary eye trackers to investigate practices on digital image platforms. We discuss how video recordings of participants' eye movements were made and describe the process of conducting ethnographic interviews based on the videos. The eye-tracking interviews can be used 1. to make participants aware of and think about practices of looking; 2. to verbalize in dialogue sensory and interpretative processes regarding museum objects and digital image technologies; and 3. to surface individuals' aesthetic preferences and incorporated knowledge.In diesem Artikel wird die Methode der ethnografischen Eye-Tracking-Interviews vorgestellt, die auf eine Reflexion von visuellen Wahrnehmungsprozessen und von Praktiken des Anschauens als Teil einer Ethnografie der Sinne zielt. Grundlage der Methodenentwicklung und -bewertung sind zwei mehrjährige ethnografische Studien, in deren Design Eye-Tracking-Interviews integriert wurden. In einer der Studie untersuchten die Forscher*innen den Umgang mit digitalen Bildtechnologien in einem Kunstmuseum und arbeiteten mit mobilen Eye-Trackern; in der anderen Studie wurden Praktiken des Umgangs mit digitalen Bildplattformen mithilfe stationärer Eye-Tracker erforscht. Wir diskutieren, wie mit den Studienteilnehmer*innen nicht nur Eye-Tracking-Aufnahmen angefertigt, sondern kontextualisierende ethnografische Interviews anhand des Videomaterials geführt wurden. Diese Eye-Tracking-Interviews können dabei helfen, 1. gemeinsam mit den Teilnehmer*innen die Praktiken des Anschauens zu erinnern und zu reflektieren, 2. die sensorisch-interpretativen Auseinandersetzungsprozesse (in diesem Fall mit musealen Objekten und digitalen Bildtechnologien) dialogisch zu verbalisieren sowie 3. ästhetische Präferenzen und inkorporierte Wissensbestände der Akteur*innen sichtbar zu machen