A Theory of (the Technological) Mind: Developing Understanding of Robot Minds

The purpose of this dissertation is to explore how children attribute minds to social robots and the impacts that these attributions have on children’s interactions with robots, specifically their feelings toward and willingness to trust them. These are important areas of study as robots become increasingly present in children’s lives. The research was designed to address a variety of questions regarding children’s willingness to attribute mental abilities to robots: (1) To what extent do children perceive that social robots share similarities with people and to what extent do they believe they have human-like minds? (2) Do attributions of human-like qualities to robots affect children’s ability to understand and interact with them? (3) Does this understanding influence children’s willingness to accept information from robots? And, of crucial importance, (4) how do answers to these questions vary with age? Across a series of five studies, I investigated children’s beliefs about the minds of robots, and for comparison adults’ beliefs, using survey methods and video stimuli. Children watched videos of real-life robots and in response to targeted questions reported on their beliefs about the minds of those robots, their feelings about those robots, and their willingness to trust information received from those robots. Using a variety of statistical methods (e.g., factor analysis, regression modeling, clustering methods, and linear mixed-effects modeling), I uncovered how attributions of a human-like mind impact feelings toward robots, and trust in information received from robots. Furthermore, I explored how the design of the robot and features of the child relate to attributions of mind to robots. First and foremost, I found that children are willing to attribute human-like mental abilities to robots, but these attributions decline with age. Moreover, attributions of mind are linked to feelings toward robots: Young children prefer robots that appear to have human-like minds, but this reverses with age because older children and adults do not (Chapter II). Young children are also willing to trust a previously accurate robot informant and mistrust a previously inaccurate one, much like they would with accurate and inaccurate human informants, when they believe that the robot has mental abilities related to psychological agency (Chapter III). Finally, while qualities of the robot, like behavior and appearance, are linked to attributions of mind to the robot, individual differences across children and adults are likely the primary mechanisms that explain how and when children and adults attribute mental abilities to robots (Chapter IV). That is, individuals are likely to attribute similar mental abilities to a wide variety of robots that have differing appearances and engage in a variety of different actions. These studies provide a variety of heretofore unknown findings linking the developmental attributions of minds to robots with judgments of robots’ actions, feelings about robots, and learning from robots. It remains to be seen, however, the exact nature of the mechanisms and the child-specific features that increase children’s willingness to attribute mental abilities to robots.PHDPsychologyUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/146010/1/kabrink_1.pd

Creepiness Creeps In: Uncanny Valley Feelings Are Acquired in Childhood

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/150519/1/cdev12999_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150519/2/cdev12999.pd

Infants' use of social partnerships to predict behavior

The experiences of social partners are important motivators of social action. Can infants use such experiences to make predictions about how social agents will behave? Sixteen‐month‐old infants were introduced to two social pairs. Initial events established within‐pair cooperation as well as between‐pair conflict involving an individual from each pair. Following these events, infants looked longer when between‐pair members who had never previously interacted now cooperated – instead of conflicted – with each other. Thus, infants tracked the third‐person allegiances and inferred that the conflict would generalize across social partnerships. These findings demonstrate a critical feature of early social cognition and promote needed, further research on the role of social allegiances in social cognition across development.The experiences of social partners are important motivators of social action. Can infants use such experiences to make predictions about how social agents will behave? In three studies, following initial instances of conflict between individual members of different social pairs, sixteen‐month‐old infants looked longer when those individuals' social partners–who had never previously interacted–cooperated rather than conflicted with one other. Thus, infants tracked the agents' third‐person allegiances and inferred that the conflict would generalize across social partnerships.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/115912/1/desc12267.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/115912/2/desc12267_am.pd

Infants Use Statistical Sampling to Understand the Psychological World

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/133581/1/infa12131.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/133581/2/infa12131_am.pd

Pesticides decrease bacterial diversity and abundance of irrigated rice fields

Bacteria play an important role in soil ecosystems and their activities are crucial in nutrient composition and recycling. Pesticides are extensively used in agriculture to control pests and improve yield. However, increased use of pesticides on agricultural lands results in soil contamination, which could have adverse effect on its bacterial communities. Here, we investigated the effect of pesticides commonly used on irrigated rice fields on bacterial abundance and diversity. Irrigated soil samples collected from unexposed, pesticide‐exposed, and residual exposure areas were cultured under aerobic and anaerobic conditions. DNA was extracted and analysed by 16S rRNA sequencing. The results showed overall decrease in bacterial abundance and diversity in areas exposed to pesticides. Operational taxonomic units of the genera Enterobacter, Aeromonas, Comamonas, Stenotrophomonas, Bordetella, and Staphylococcus decreased in areas exposed to pesticides. Conversely, Domibacillus, Acinetobacter, Pseudomonas, and Bacillus increased in abundance in pesticide‐exposed areas. Simpson and Shannon diversity indices and canonical correspondence analysis demonstrated a decrease in bacterial diversity and composition in areas exposed to pesticides. These results suggest bacteria genera unaffected by pesticides that could be further evaluated to identify species for bioremediation. Moreover, there is a need for alternative ways of improving agricultural productivity and to educate farmers to adopt innovative integrated pest management strategies to reduce deleterious impacts of pesticides on soil ecosystems.</p

Explaining the willingness of public professionals to implement new policies: A policy alienation framework

Nowadays, many public policies focus on economic values, such as efficiency and client choice. Public professionals often show resistance to implementing such policies. We analyse this problem using an interdisciplinary approach. From public administration, we draw on the policy alienation concept, which consists of five dimensions: strategic powerlessness, tactical powerlessness, operational powerlessness, societal meaninglessness and client meaninglessness. These are considered as factors that influence the willingness of professionals to implement policies (change willingness - a concept drawn from the change management literature). We test this model in a survey among 478 Dutch healthcare professionals implementing a new reimbursement policy. The first finding was that perceived autonomy (operational powerlessness) significantly influenced change willingness, whereas strategic and tactical powerlessness were not found to be significant. Second, both the meaninglessness dimensions proved highly significant. We conclude that clarifying the value of a policy is important in getting professionals to willingly implement a policy, whereas their participation on the strategic or tactical levels seems less of a motivational factor. These insights help in understanding why public professionals embrace or resist the implementation of particular policies. Points for practitioners Policymakers develop public policies which, nowadays, tend to focus strongly on economic values, such as increasing efficiency or offering citizens the opportunity to choose among suppliers of public services. Public professionals, who have to implement these policies, are often reluctant to do so. This study shows that the causes of this resistance are unlikely to be found in the lack of influence these professionals have in the shaping of the policy at the national or organizational level. Rather, professionals might resist implementing policies because they do not see them as meaningful for society, or for their own clients. Therefore, policymakers should focus on this perceived meaninglessness and adopt ways to counter this, for example by intensively communicating the value associated with a policy

Leveraging data science and machine learning for urban climate adaptation in two major African cities: a HE 2 AT Center study protocol

Introduction: African cities, particularly Abidjan and Johannesburg, face challenges of rapid urban growth, informality and strained health services, compounded by increasing temperatures due to climate change. This study aims to understand the complexities of heat-related health impacts in these cities. The objectives are: (1) mapping intraurban heat risk and exposure using health, socioeconomic, climate and satellite imagery data; (2) creating a stratified heat–health forecast model to predict adverse health outcomes; and (3) establishing an early warning system for timely heatwave alerts. The ultimate goal is to foster climate-resilient African cities, protecting disproportionately affected populations from heat hazards. Methods and analysis: The research will acquire health-related datasets from eligible adult clinical trials or cohort studies conducted in Johannesburg and Abidjan between 2000 and 2022. Additional data will be collected, including socioeconomic, climate datasets and satellite imagery. These resources will aid in mapping heat hazards and quantifying heat–health exposure, the extent of elevated risk and morbidity. Outcomes will be determined using advanced data analysis methods, including statistical evaluation, machine learning and deep learning techniques. Ethics and dissemination: The study has been approved by the Wits Human Research Ethics Committee (reference no: 220606). Data management will follow approved procedures. The results will be disseminated through workshops, community forums, conferences and publications. Data deposition and curation plans will be established in line with ethical and safety considerations

Wendell Berry's Beloved Community

(Statement of Responsibility) by Kimberly Brink(Thesis) Thesis (B.A.) -- New College of Florida, 2002RESTRICTED TO NCF STUDENTS, STAFF, FACULTY, AND ON-CAMPUS USE(Bibliography) Includes bibliographical references.This bibliographic record is available under the Creative Commons CC0 public domain dedication. The New College of Florida, as creator of this bibliographic record, has waived all rights to it worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law.Faculty Sponsor: Dimino, Andre

Sequence of theory‐of‐mind acquisition in Turkish children from diverse social backgrounds

We examined the sequence of theory of mind (ToM) acquisition in 260 Turkish children (Mage = 53.36 months, SD = 10.37) and the demographic factors associated with it. Children came from 5 different cities in Turkey. Their ToM skills were measured using ToM Scale, which probes various mental state understandings from diverse desires to hidden emotions. These Turkish children demonstrated the traditional, collectivist ToM acquisition pattern evident in Iran and China with earlier understanding of knowledge access than diverse beliefs, not the western, individualist pattern evident in the United States, Australian, and German children. Gender, socio‐economic status (SES), and number of adults living in the home influenced the pace of children’s ToM acquisitions. A post hoc analysis examined a minority of children that exhibited individualist ToM acquisition with earlier achievement of diverse beliefs than knowledge access. The results contribute to a fuller sociocultural understanding of ToM development including examination of variations within a single heterogeneous developing country. They also further suggest the importance of exposure to different ideas and beliefs in large households for earlier understanding of varying belief states.HighlightsWe assessed theory of mind (ToM) acquisition in 260 Turkish children whose families spanned a large range of social class circumstances.We measured ToM via Wellman and Liu’s scale (2004), consisting of five items testing diverse desires, diverse belief, knowledge access, false belief, and hidden emotion.The Turkish children demonstrated the traditional, collectivist ToM acquisition pattern, but a minority of children exhibited individualistic ToM acquisition. In cultures where elements of individualism and collectivism are blended, children can come to different orders of acquisition in accord with recent arguments that cultural development often represents a coexistence of different reasoning styles.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/145214/1/icd2098.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/145214/2/icd2098_am.pd

Nanoscale organization of ryanodine receptor distribution and phosphorylation pattern determines the dynamics of calcium sparks

Super-resolution imaging techniques have provided a better understanding of the relationship between the nanoscale organization and function of ryanodine receptors (RyRs) in cardiomyocytes. Recent data have indicated that this relationship is disrupted in heart failure (HF), as RyRs are dispersed into smaller and more numerous clusters. However, RyRs are also hyperphosphorylated in this condition, and this is reported to occur preferentially within the cluster centre. Thus, the combined impact of RyR relocalization and sensitization on Ca2+ spark generation in failing cardiomyocytes is likely complex and these observations suggest that both the nanoscale organization of RyRs and the pattern of phosphorylated RyRs within clusters could be critical determinants of Ca2+ spark dynamics. To test this hypothesis, we used computational modeling to quantify the relationships between RyR cluster geometry, phosphorylation patterns, and sarcoplasmic reticulum (SR) Ca2+ release. We found that RyR cluster disruption results in a decrease in spark fidelity and longer sparks with a lower amplitude. Phosphorylation of some RyRs within the cluster can play a compensatory role, recovering healthy spark dynamics. Interestingly, our model predicts that such compensation is critically dependent on the phosphorylation pattern, as phosphorylation localized within the cluster center resulted in longer Ca2+ sparks and higher spark fidelity compared to a uniformly distributed phosphorylation pattern. Our results strongly suggest that both the phosphorylation pattern and nanoscale RyR reorganization are critical determinants of Ca2+ dynamics in HF