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Creative coding is a form of postdigital art that uses programming to solve esthetical problems, subordinating functionality to expression. It often comes with rather uncommon usage patterns of coding, going beyond technologies' affordances and finding ways of appropriating them in an individual way and in exchange with others. The learning ecologies GitHub, Stack Overflow, and Pouët present digital infrastructures that curate and support such appropriation-related activities. The paper presents a qualitative analysis of the structure of these spaces, and the appropriation-related communication taking place. It shows how crucial the varying designs of the learning ecologies and the implemented interaction possibilities are for the appropriation activities taking place and draws a line to the desire for stronger participation in postdigital curation.
Curatorial activities provide (infra)structure and meaning to artworks through the selection and combination of different pieces and their public display. Therefore the way context is added shapes people’s perspective towards art. (Post-)digital art and online exhibitions come with specific constraints concerning curation and have a potential to overcome the hierarchies between curators, artists and visitors. In discussing selected digital exhibition formats from the 1990s until today, the article illustrates how the genre has evolved in response to technological changes and concepts of democratization as well as user involvement. Looking at the online exhibition “UN/NATURAL SURROGATES” (2019) the article opens up a perspective towards meta-curating that allows to conceive (online) exhibitions as a means of reflecting on curatorial processes in the postdigital era.
Post-digital fairy tales
(2021)
How can Interactive Digital Narratives (IDNs) be employed to reflect on and understand post-digital society and its challenges? To discuss such a complex matter, object of our investigation through the years, we rely on the results of an experimentation that used fairy tales as a starting point for opening up imagination and increasing the distance to everyday life and typical media usage behavior. The activity “Postdigital Fairy Tales” was conducted at Politecnico di Milano, bringing together 45 students in Communication Design for five full days of intensive experimentation. We explored the practice of crafting and developing interactive narratives that analyze societal twists and shifts due to digitalization by remixing traditional fairy tale narratives with aspects of our post-digital era. For this reason we chose to focus on Instagram and to exploit its affordances. The results show how IDNs can be used to question digital media usage with regard to patterns of aesthetics and interaction modes, and to analyse the wicked problems associated with digitalization.
un/natural surrogates
(2021)
The visual essay is an extension of the 2019 online exhibition un/natural surrogates which was created as part of the research project "Postdigital Art Practices in Cultural Education". The essay contrasts thirteen artworks from that show with thirteen newly selected artworks from the last seventy years, based on aesthetic similarities, parallels in the subject matter, and other related characteristics of the works. In doing so, an ahistorical story without -isms is offered.
Human thought can be characterised as being situated in the ‘space of reasons’. That is to say that human thought is guided by the norms of theoretical and practical rationality which, in turn, enable autonomous thinking. But how do children learn to navigate the space of reasons? Building on the work of Tugendhat and Bakhurst, among others, we argue, first, that this process involves the acquisition of propositional thought and that it is an essentially social one in which both children and adults take an active role. Second, and more specifically, by drawing on Brandom's theory of meaning, we provide a philosophical analysis of empirical findings with respect to the efficacy of ‘Sustained Shared Thinking’ (SST) in early educational settings. We argue that the efficacy of SST is based on its emphasising, modelling and practising those elements of communication that are essential for gaining proficiency in ‘playing the game of giving and asking for reasons’, namely drawing inferences between propositions and concepts and providing justifications for one's assertions. This is achieved by making explicit the inferential relationships between concepts and propositions and by the use of modal and doxastic markers that function as an invitation to a joint search for reasons.
We compared event-related potentials during sentence reading, using impression formation equations of a model of affective coherence, to investigate the role of affective content processing during meaning making. The model of Affect Control Theory (ACT; Heise, 1979, 2007) predicts and quantifies the degree to which social interactions deflect from prevailing social norms and values - based on the affective meanings of involved concepts. We tested whether this model can predict the amplitude of brain waves traditionally associated with semantic processing. To this end, we visually presented sentences describing basic subject-verb-object social interactions and measured event-related potentials for final words of sentences from three different conditions of affective deflection (low, medium, high) as computed by a variant of the ACT model (Schröder, 2011). Sentence stimuli were closely controlled across conditions for alternate semantic dimensions such as contextual constraints, cloze probabilities, co-occurrences of subject-object and verb-object relations. Personality characteristics (schizotypy, Big Five) were assessed to account for individual differences, assumed to influence emotion-language interactions in information processing. Affective deflection provoked increased negativity of ERP waves during the P2/N2 and N400 components. Our data suggest that affective incoherence is perceived as conflicting information interfering with early semantic processing and that increased respective processing demands – in particular in the case of medium violations of social norms - linger on until the N400 time window classically associated with the integration of concepts into embedding context. We conclude from these results that affective meanings influence basic stages of meaning making.
The idea that a simple execution of an innovation invented by actors other than those who are expected to apply it is not likely to take place is a truism. We assume, however, in this paper the idea of a discursive production of knowledge on the application of an innovation across different levels of the education system. We aim to shed light on an innovation’s ‘journey’ from educational policy over training providers to teams of professionals in early childhood education and care (ECEC). By investigating knowledge and emotions associated with the introduction of an intended innovation using the example of “stimulation interactions” in day care-centers, the paper contributes to research on the transfer of innovations in education. To better understand challenges occurring during the transfer of innovations, we triangulate methods from discourse theory (coding techniques based on GTM) and cognitive science, namely cognitive-affective mapping (according to the scholarly conventions). The data corpus includes educational plans (N = 2), in-service training programs (N = 123) and group discussions of pedagogical teams (N = 6) who participated in an in-service training on the subject, stimulating interaction. Findings underline that similar messages from the inventors on the educational policy level are received and processed heterogeneously by the teams of pedagogues as a result of their preexisting views, routine practices and experiences with intended innovations through in-service trainings. Besides, a diffuse mixture of competing and contradictory information is communicated to the professionals and, hence, collides with the in-service training providers’ and educational policy actors’ expectations on the processing of the intended innovation. Specific knowledge elements and their valences are diametrically opposed to each other. Dissonances like these are considered as obstacles to social innovation. The obstacles are caused by the lack of a ‘common language’ beyond all levels. Hence, policy-makers and in-service-training providers should anticipate the supportive as well as competing knowledge-emotional complexes of professionals and take these into account when communicating an intended innovation.
Adult-child interactions can support children's development and are established as predictors of program quality in early childhood settings. However, the linguistic components that constitute positive interactions have not yet been studied in detail. This study investigates the effects of hypotheses proposed by adults on children's responses in a dyadic picture-book viewing situation. In 2 experiments, adults’ use of hypotheses (e.g., “Maybe this is a dwarf's door”) was tested against the use of instructive statements (“This is a dwarf's door”) and in combination with open questions (“What do you think, why is the door so small?”). In Experiment 1, hypotheses differed from instructions only by the modal marker “maybe”. Children's responses to hypotheses were longer and contained more self-generated explanations as compared to responses to instructions. The use of hypotheses also seemed to encourage children to attach more importance to their own explanations. In Experiment 2, combining hypotheses with open-ended why questions elicited longer responses but no more self-generated explanations in children than open-ended questions alone. Results indicate that subtle differences in adults’ utterances can directly influence children's reasoning and children's contributions to dialogues.
A topology of groups
(2020)
In this work, we study the collaboration patterns of open source software projects on GitHub by analyzing the pull request submissions and acceptances of repositories. We develop a group typology based on the structural properties of the corresponding directed graphs, and analyze how the topology is connected to the repositorys collective identity, hierarchy, productivity, popularity, resilience and stability. These analyses indicate significant differences between group types and thereby provide valuable insights on how to effectively organize collaborative software development. Identifying the mechanisms that underlie self-organized collaboration on digital platforms is important not just to better understand open source software development but also all other decentralized and digital work environments, a setting widely regarded as a key feature of the future work place.
The interplay between intuitive and deliberative processing is known to be important for human decision making. As independent modes, intuitive processes can take on many forms from associative to constructive, while deliberative processes often rely on some notion of decision theoretic rationality or pattern matching. Dual process models attempt to unify these two modes based on parallel constraint networks or on socially or emotionally oriented adjustments to utility functions. This paper presents a new kind of dual process model that unifies decision theoretic deliberative reasoning with intuitive reasoning based on shared cultural affective meanings in a single Bayesian sequential model. Agents constructed according to this unified model are motivated by a combination of affective alignment (intuitive) and decision theoretic reasoning (deliberative), trading the two off as a function of the uncertainty or unpredictability of the situation. The model also provides a theoretical bridge between decision-making research and sociological symbolic interactionism. Starting with a high-level view of existing models, we advance Bayesian Affect Control Theory (BayesACT) as a promising new type of dual process model that explicitly and optimally (in the Bayesian sense) trades off motivation, action, beliefs and utility. We demonstrate a key component of the model as being sufficient to account for some aspects of classic cognitive biases about fairness and dissonance, and outline how this new theory relates to parallel constraint satisfaction models.
In empirically informed research on action explanation, philosophers and developmental psychologists have recently proposed a teleological account of the way in which we make sense of people’s intentional behavior. It holds that we typically don’t explain an agent’s action by appealing to her mental states but by referring to the objective, publically accessible facts of the world that count in favor of performing the action so as to achieve a certain goal. Advocates of the teleological account claim that this strategy is our main way of understanding people’s actions. I argue that common motivations mentioned to support the teleological account are insufficient to sustain its generalization from children to adults. Moreover, social psychological studies, combined with theoretical considerations, suggest that we do not explain actions mainly by invoking publically accessible, reason-giving facts alone but by ascribing mental states to the agent.
Infants show impressive speech decoding abilities and detect acoustic regularities that highlight the syntactic relations of a language, often coded via non-adjacent dependencies (NADs, e.g., is singing). It has been claimed that infants learn NADs implicitly and associatively through passive listening and that there is a shift from effortless associative learning to a more controlled learning of NADs after the age of 2 years, potentially driven by the maturation of the prefrontal cortex. To investigate if older children are able to learn NADs, Lammertink et al. (2019) recently developed a word-monitoring serial reaction time (SRT) task and could show that 6–11-year-old children learned the NADs, as their reaction times (RTs) increased then they were presented with violated NADs. In the current study we adapted their experimental paradigm and tested NAD learning in a younger group of 52 children between the age of 4–8 years in a remote, web-based, game-like setting (whack-a-mole). Children were exposed to Italian phrases containing NADs and had to monitor the occurrence of a target syllable, which was the second element of the NAD. After exposure, children did a “Stem Completion” task in which they were presented with the first element of the NAD and had to choose the second element of the NAD to complete the stimuli. Our findings show that, despite large variability in the data, children aged 4–8 years are sensitive to NADs; they show the expected differences in r RTs in the SRT task and could transfer the NAD-rule in the Stem Completion task. We discuss these results with respect to the development of NAD dependency learning in childhood and the practical impact and limitations of collecting these data in a web-based setting.
This article serves as an introduction to the FQS special issue 'Participatory Qualitative Research'. In recent years there has been a resurgence of interest in participatory research strategies. The articles in this special issue come from different disciplines. Against the background of concrete empirical research projects, they address numerous conceptual considerations and methodological approaches. After reading the contributions, and engaging with the authors' arguments, the authors were prompted to focus in particular on those areas in which further work needs to be done. They include, on the one hand, fundamental principles of participatory research, such as democratic-theory considerations, the concept of 'safe space', participation issues, and ethical questions. And, on the other hand, the authors focus an practical research considerations regarding the rote and tasks of the various participants; specific methodological approaches; and quality criteria - understood here in the sense of arguments justifying a participatory approach. The authors' aim is to stimulate a broad discussion that does not focus only on participatory research in the narrower sense. Because participatory methodology poses certain knowledge- and research-related questions in a radical way, it has the potential to draw attention to hitherto neglected areas in qualitative methodology and to stimulate their further development.
This paper describes a novel emotionally intelligent cognitive assistant to engage and help older adults with Alzheimer’s disease (AD) to complete activities of daily living (ADL) more independently. Our new system combines two research streams. First, the development of cognitive assistants with artificially intelligent controllers using partially observable Markov decision processes (POMDPs). Second, a model of the dynamics of emotion and identity called Affect Control Theory that arises from the sociological literature on culturally shared sentiments. We present background material on both of these research streams, and then demonstrate a prototype assistive technology that combines the two. We discuss the affective reasoning, the probabilistic and decision-theoretic reasoning, the computer-vision based activity monitoring, the embodied prompting, and we show results in proof-of-concept tests.
This paper presents an exploratory study conducted to understand how audio-visual prompts are understood by people on an emotional level as a first step towards the more challenging task of designing emotionally aligned prompts for persons with cognitive disabilities such as Alzheimer’s disease and related dementias (ADRD). Persons with ADRD often need assistance from a caregiver to complete daily living activities such as washing hands, making food, or getting dressed. Artificially intelligent systems have been developed that can assist in such situations. This paper presents a set of prompt videos of a virtual human ‘Rachel’, wherein she expressively communicates prompts at each step of a simple hand washing task, with various human-like emotions and behaviors. A user study was conducted for 30 such videos with respect to three basic and important dimensions of emotional experience: evaluation, potency, and activity. The results show that, while people generally agree on the evaluation (valence: good/bad) of a prompt, consensus about power and activity is not as socially homogeneous. Our long term aim is to enhance such systems by delivering automated prompts that are emotionally aligned with individuals in order to help with prompt adherence and with long-term adoption.
Unpacking the Habitus
(2016)
The concept of habitus refers to socially stratified patterns of perception, classification, and thinking that are supposed to bring about specific lifestyles. Until now, research on the links between stratification and lifestyles has accounted for the habitus mainly in conceptual and theoretical terms, and studies directly measuring habitus and its association with stratification and lifestyles are rare. The present study conceptualizes the habitus as an individual-level pattern of meaning making and suggests an operationalization that is commonly used in identity research. Using survey data of 3,438 respondents, the study investigates associations between different lifestyles and patterns of meaning making. Results show, first, that self-related meanings vary systematically across lifestyle categories and mirror respondents' stratification position. Second, the meanings of various social concepts also vary significantly across lifestyle categories and partly reflect descriptive lifestyle characteristics. In sum, the study presents a plausible operationalization of (parts of) the habitus and advances our understanding of its mediating position between stratification and lifestyles.
In the current study, 24- to 27-month-old children (N = 37) used pointing gestures in a cooperative object choice task with either peer or adult partners. When indicating the location of a hidden toy, children pointed equally accurately for adult and peer partners but more often for adult partners. When choosing from one of three hiding places, children used adults’ pointing to find a hidden toy significantly more often than they used peers’. In interaction with peers, children's choice behavior was at chance level. These results suggest that toddlers ascribe informative value to adults’ but not peers’ pointing gestures, and highlight the role of children's social expectations in their communicative development.
This article critically examines the governing of ‘sustainable urban development’ through self-build cohousing groups in Gothenburg and Hamburg. The two case cities have been selected because both are currently involved in major urban restructuring, and have launched programmes to support self-build groups and cohousing as part of their emphasis on promoting urban sustainable development through this process. Departing from a theoretical discussion on advanced liberal urban governance, focusing in particular on the contemporary discourse on sustainable urban development, we examine the interaction between political institutions, civil society and private actors in the construction of cohousing as a perceived novel and alternative form of housing that may contribute to fulfilling certain sustainability goals. Questions centre on the socio-political contextualization of cohousing; concepts of sustainability; strategies of, and relations between, different actors in promoting cohousing; gentrification and segregation; and inclusion and exclusion. In conclusion we argue that, while self-build groups can provide pockets of cohousing as an alternative to dominant forms of housing, the economic and political logics of advanced liberal urban development make even such a modest target difficult, particularly when it comes to making such housing affordable.
Recent advances in artificial intelligence and computer science can be used by social scientists in their study of groups and teams. Here, we explain how developments in machine learning and simulations with artificially intelligent agents can help group and team scholars to overcome two major problems they face when studying group dynamics. First, because empirical research on groups relies on manual coding, it is hard to study groups in large numbers (the scaling problem). Second, conventional statistical methods in behavioral science often fail to capture the nonlinear interaction dynamics occurring in small groups (the dynamics problem). Machine learning helps to address the scaling problem, as massive computing power can be harnessed to multiply manual codings of group interactions. Computer simulations with artificially intelligent agents help to address the dynamics problem by implementing social psychological theory in data-generating algorithms that allow for sophisticated statements and tests of theory. We describe an ongoing research project aimed at computational analysis of virtual software development teams.
This chapter looks at children ‘out of place’ as a category, focusing on the example of the sexually abused and thus sexually exposed child as experiencing an ‘out of place’ childhood. It focuses on the child who has been sexually abused and exploited, in contexts involving no compensation – monetary or otherwise. A code for childhood sexuality also developed in the West, with the focus on the innocence and malleability of young people. The projection onto children by adults, in terms of what they should be, can thus eventually be damaging. Children are presented as incapable of being responsible subjects with their own agency in the context of sexuality. Children’s agency in the context of their sexuality is highly restricted through laws dictating minimum ages of sexual activity and consent, as well as social expectations of a child as a non-sexual and innocent being.