Interactional Expertise Research Articles

A Generalizable Prioritization Protocol for Climate-Sensitive Zoonotic Diseases.

Emerging and re-emerging zoonotic diseases pose a significant threat to global health and economic security. This threat is further aggravated by amplifying drivers of change, including climate hazards and landscape alterations induced by climate change. Given the complex relationships between climate change and zoonotic disease health outcomes, a structured decision-making process is required to effectively identify pathogens of greatest concern to prioritize prevention and surveillance efforts. Here, we describe a workshop-based expert elicitation process in six steps to prioritize climate-sensitive zoonoses based on a structured approach to defining criteria for climate sensitivity. Fuzzy analytical hierarchy process methodology is used to analyze data provided by experts across human, animal, and environmental health sectors accounting for uncertainties at different stages of the prioritization process. We also present a new interactive expert elicitation interface that facilitates data collection and real-time visualization of prioritization results. The novel approach presented in this paper offers a generalized platform for prioritizing climate-sensitive zoonoses at a national or regional level. This allows for a structured decision-making support process when allocating limited financial and personnel resources to enhance preparedness and response to zoonotic diseases amplified by climate change.

Augmented Reality Mobile Application for Promoting Culture and Heritage in Thailand and Malaysia: The Prototype Development and Heuristic Evaluation

The global coronavirus pandemic sparked widespread lockdowns and travel restrictions, leading to a significant economic downturn. However, the subsequent development of vaccines prompted governments to ease restrictions and explore technology-driven strategies for tourism revival, including the use of mobile applications and augmented reality (AR). In light of the progress of AR, this study addresses the lack of AR applications for promoting tourism in Southeast Asia, particularly in Thailand and Malaysia, where language barriers hinder cross-cultural communication. Therefore, this study aims to develop a content-specific AR mobile application to enhance tourists’ exploration of cultural heritage and facilitate communication in these multicultural and Islamic-influenced regions. This study adopts the design thinking approach for a solution-based methodology. The developed AR mobile application aims to enhance the tourist experience by providing immersive and informative content specific to the culture and heritage. The prototype undergoes a heuristic evaluation by ten experts in human-computer interaction (HCI). The results show a positive consensus on many aspects, highlighting the potential of the AR mobile application to promote culture and heritage effectively. Qualitative exploration through expert feedback is recommended in future studies to refine specific elements for a universally satisfactory user experience.

Virtual diversity: Resolving the tension between the wider culture and the institution of science.

There are widespread calls for increased demographic diversity in science, often linked to the epistemic claim that including more perspectives will improve the quality of the knowledge produced. By distinguishing between demographic and epistemic diversity, we show that this is only true some of the time. There are cases where increasing demographic diversity will not bring about the necessary epistemic diversity and cases where failing to exclude some voices reduces the quality of the scientific debate. We seek to resolve these tensions with an analysis that turns on the way the experience-based expertise of non-scientists can be absorbed into mainstream science. Mostly it has to be done via what we call 'virtual diversity', in which scientists take responsibility for acquiring interactional expertise in the non-scientific expertise-based domains which they consider provide knowledge valuable to the science. We argue that virtual diversity represents the only feasible option in most scenarios, with cases where demographic diversity or full cultural mergers provide the solution being the exception rather than the rule. This analysis is an exercise in the sociology of knowledge, which is considered as being continuous with philosophy. The paper is prescriptive as well as descriptive, and the moral, cultural, political, and educational implications of the argument are drawn out. A main conclusion is that the acquisition of virtual diversity should be a new norm for science, allowing the voices of experienced non-scientist citizens to be heard but without eroding the institution of science, which continues to be a vital foundation of truth in democracy.

Discursive positioning in heritage – second language learner interaction: A case study of the dynamic construction of linguistic expertise

Drawing on positioning and sociocultural theories, this study examines heritage language (HL) and second language (L2) learners’ negotiation of linguistic expertise in mixed interactions. Through a case study of four interactions between the same HL learner and three different L2 classmates, it investigates how learners’ positioning regarding linguistic expertise shifts across interlocutors and time, shaping language learning. Data was collected at four different stages of a 10-week high-intermediate Spanish course, as learners completed four collaborative writing tasks. Posttests, a pretest, and two questionnaires were also administered. The analysis of discursive positioning showed how the HL learner initially enacted the linguistic expert position associated with his heritage status. As experiences accumulated and pre-established conceptions of expertise were contested, the HL learner came to occupy more of a peer position. The sociocultural analysis of language-related episodes confirmed that this shift resulted in more balanced interactions and enhanced opportunities for HL development.

MyPEEPS Mobile App for HIV Prevention Among Transmasculine Youth: Adaptation Through Community-Based Feedback and Usability Evaluation.

Transgender men and transmasculine youth are at high risk for acquiring HIV. Growing research on transgender men demonstrates increased HIV risk and burden compared with the general US population. Despite biomedical advancements in HIV prevention, there remains a dearth of evidence-based, sexual health HIV prevention interventions for young transgender men. MyPEEPS (Male Youth Pursuing Empowerment, Education, and Prevention around Sexuality) Mobile is a web-based app that builds on extensive formative community-informed work to develop an evidence-based HIV prevention intervention. Our study team developed and tested the MyPEEPS Mobile intervention for 13- to 18-year-old cisgender young men in a national randomized controlled trial, which demonstrated efficacy to reduce sexual risk in the short term-at 3-month follow-up. Trans men and transmasculine youth resonated with basic HIV educational information and sexual scenarios of the original MyPEEPS app for cisgender men, but recognized the app's lack of transmasculine specificity. The purpose of this study is to detail the user-centered design methods to adapt, improve the user interface, and enhance the usability of the MyPEEPS Mobile app for young transgender men and transmasculine youth. The MyPEEPS Mobile app for young transgender men was adapted through a user-centered design approach, which included an iterative review of the adapted prototype by expert advisors and a youth advisory board. The app was then evaluated through a rigorous usability evaluation. MyPEEPS Mobile is among the first mobile health interventions developed to meet the specific needs of young transgender men and transmasculine youth to reduce HIV risk behaviors. While many of the activities in the original MyPEEPS Mobile were rigorously developed and tested, there was a need to adapt our intervention to meet the specific needs and risk factors among young transgender men and transmasculine youth. The findings from this study describe the adaptation of these activities through feedback from a youth advisory board and expert advisors. Following adaptation of the content, the app underwent a rigorous usability assessment through an evaluation with experts in human-computer interaction (n=5) and targeted end users (n=20). Usability and adaptation findings demonstrate that the MyPEEPS Mobile app is highly usable and perceived as potentially useful for targeting HIV risk behaviors in young transgender men and transmasculine youth.

리빙랩에서의 집단학습과 매개 활동에 대한 사례연구

Objectives A group of various stakeholders itself cannot automatically guarantee learning for co-creation. For the creation of collective knowledge, intermediary activities that can interconnect and integrate several subjects with different interests, backgrounds, experiences, and knowledge are essential. Living Lab is a place of collective learning based on the horizontal cooperative relationship between private, public, industry, and academia, and is a representative form of co-creation. However, in the case of Living Lab in Korea, research from the perspective of collective learning through co-creation has hardly been conducted. Therefore, this study aims to analyze the collective learning of Living Lab and derive implications, focusing on intermediary activities. Methods A qualitative case study was conducted on the ‘Smart Farm Planning Living Lab for Revitalizing the Old Urban Community’ held in Innovation District, Incheon. In order to structure interactions for collective learning, ac-tivities and tasks for each stage of the Living Lab were organized around the process and results of collective learn-ing, and then classified and analyzed as detailed intermediary activities of facilitating, configuring, brokering ac-cording to the definition of Hakkarainen & Hyysalo(2016). Results In all three stages of Living Lab, the proportion of facilitating was the highest, and brokering were common. This can be interpreted as a result showing that intermediary activities that facilitate actors' activities and broker connections between actors are essential in the process of co-creation to solve social problems. Next, through the three stages of Living Lab, all detailed intermediary activities of the facilitating, configuring, brokering appeared, and it was confirmed that the proportion of detailed intermediary activities was different for each stage of progress. This shows that it is necessary to pay attention to the importance and multifacetedness of interme-diary activities that are overlooked in co-creation through Living Lab. Conclusions This study supports the results of previous studies that the intermediary activities that contribute to collecitve learning and co-creation of Living Lab need to be extended and understood into three types: configuring and brokering as well as facilitating. In addition, the diversity of intermediary activities has important implications for the practical guidelines for Living Lab operation, which are characterized by a spiral development structure that changes according to the results of interaction and learning. Finally, the recognition of the intermediary's unique interactional expertise and the need for research on practical curriculum development and field operation guide-lines based on it were proposed.

An STS analysis of a digital humanities collaboration: trading zones, boundary objects, and interactional expertise in the DECRYPT project

A widely shared recognition over the past decade is that the methodology and the basic concepts of science and technology studies (STS) can be used to analyze collaborations in the cross-disciplinary field of digital humanities (DH). The concepts of trading zones (Galison, 2010), boundary objects (Star and Griesemer, 1989), and interactional expertise (Collins and Evans, 2007) are particularly fruitful for describing projects in which researchers from massively different epistemic cultures (Knorr Cetina, 1999) are trying to develop a common language. The literature, however, primarily concentrates on examples where only two parties, historians and IT experts, work together. More exciting perspectives open up for analysis when more than two, more nuanced and different epistemic cultures seek a common language and common research goals. In the DECRYPT project funded by the Swedish Research Council, computational linguists, historians, computer scientists and AI experts, cryptologists, computer vision specialists, historical linguists, archivists, and philologists collaborate with strikingly different methodologies, publication patterns, and approaches. They develop and use common resources (including a database and a large collection of European historical texts) and tools (among others a code-breaking software, a hand-written text recognition tool for transcription), researching partly overlapping topics (handwritten historical ciphers and keys) to reach common goals. In this article, we aim to show how the STS concepts are illuminating when describing the mechanisms of the DECRYPT collaboration and shed some light on the best practices and challenges of a truly cross-disciplinary DH project.

Career Counselling Chatbot on Facebook Messenger using AI

We have increasingly seen that new graduates have difficulty finding a job, which they often work in different jobs than the ones they graduated from, and that employees are not satisfied with their career choices. One reason for this may be the lack of practical, useful education when a person is in college or has just graduated from college. Chatbots are very useful and a topic of interest in the field of computer science and artificial intelligence due to their ability to emulate experts in different applications and replicate human interaction on multiple levels. Research shows that using chatbots to provide career advice can be an effective way to provide these services in an environment where counselors work. The lack of good and appropriate vocational training means that young people begin to look for jobs that their parents have chosen for them, or jobs chosen only for high wages. These decisions will be made regardless of whether; they are in the person's best interests and interests. This can cause a person to be dissatisfied with their job, which affects not only their personal health but also the overall efficiency of their work. Therefore, the development of chatbots will better inform users and help them choose jobs. This will enable them to consider jobs that they do not expect to be more fulfilling and fulfilling than jobs that do not align with their interests. Research and development software was used in this study. According to the research method, the research was conducted to collect information about people's thoughts about their career choices and what kind of job training they want from the system. In addition, the latest research on career guidance was taken into account when creating the basis of the survey. This information is used to develop a chatbot on the Facebook Messenger platform using objects powered using tools such as the Facebook SDK, Messenger Platform API and JavaScript, as well as the Wit.ai API that supports natural language usage smart technology. Chatbots can understand user input and provide relevant and appropriate responses reliably and instantly. Overall, it is hoped that the results obtained will create a positive impression of the implementation of the system and thus become a valuable asset for any school or institution wishing to use the system.

Tag-based self-learning task recommendation for mobile crowdsensing via collaborative multi-expert system

With the powerful sensing capabilities of mobile smart devices, sensing users can complete mobile crowd sensing tasks through smart devices in the Internet of Things. When a user completes a sensing task, the sensing user may want to complete more related items from the previous task as an extended task. However, it is difficult for traditional recommender systems to satisfy sensing user needs for tasks because the recommendation results should be diverse. In this paper, we propose a multi-expert tag recommendation framework (MTRS) with the help of tags for sensing tasks. The main purpose is to predict whether the sensing user wants to extend the task, and provide appropriate related tasks as suggestions. The framework mainly consists of two parts: recommendation migration and recommendation purification. We extract features from multiple aspects. In the information gain expert network, information gain is obtained through the relationship between tags. In the feature interaction expert network, multi-head self-attention is used to model the feature interaction between different feature fields. In similar, the relevance between tags is explicitly emphasized in the degree expert network. Feature information is obtained through different expert networks, and a multi-critic strategy is proposed to judge the importance of each expert network. At the same time, different optimization goals are set for recommendation migration and recommendation purification. In recommendation purification, the user's satisfaction with task tags and the delay cost of task recommendation are specially considered. Finally, experiments demonstrate the correctness, effectiveness and robustness of the MTRS approach.

P156: The Development of the PET@home Toolkit using the refined Experience-Based Co- Design Method (EBCD+)

Objective:The relevance of pets in long-term home care is increasingly recognized due to their positive effects on health outcomes in clients, and the growing numbers of pet-owning clients receiving long-term care at home (LTCH). In the Netherlands, there is a lack of supportive materials concerning pet-related issues in LTCH. The aim of this project was to develop materials to support care for LTCH-clients with pets. Using a participatory research approach, LTCH-clients with pets, family caregivers, and professional caregivers collaborated using the Experience-Based Co-Design (EBCD) method that we fine-tuned for frail clients (EBCD+) to create the PET@Home Toolkit.Methods:The project started with a literature review on the roles of pets for older adults. To determine if similar roles were also relevant in LTCH, individual interviews were conducted with LTCH-clients, family caregivers, and professional caregivers. Thereafter, the original EBCD-method was used including group interviews with (1) LTCH-clients and family, (2) professional caregivers (3) mixed groups of (1) and (2). Participants could participate in multiple phases. Professional caregivers preferred online and weekday meetings and LTCH-clients and family caregivers preferred in person and weekend meetings. Therefore, we organized additional interviews, and separate online and in-person groups. Hence, the EBCD+ method included a review, complementary interviews, the original EBCD-method and continuous refinement and testing of instruments.Results:The review and complementary interviews revealed similar roles related to pets in LTCH (e.g. Relational Aspects, Physical Health, and Social Aspects) to those as in the review on older adults. Based on the results, preliminary tools were developed, e.g., an information brochure. Furthermore, we conducted 14 semi-structured interviews, 6 focus groups, a psychology students workshop, and 4 online meetings with experts in human-animal interaction, education, and animal interest organizations (e.g., a veterinarian). It resulted in the Toolkit with different instruments, e.g., information brochure, e-learning module, and infographic.Conclusion:We successfully used the EBCD+ method to develop an extensive and practically applicable Toolkit to support caregivers and their pet-owning LTCH-clients. The PET@home Toolkit will be available via the University Knowledge network for Older adult care Nijmegen (www.ukonnetwerk.nl).

Inclusion4EU: Co-Designing a Framework for Inclusive Software Design and Development.

Digital technology is now pervasive, however, not all groups have uniformly benefitted from technological changes and some groups have been left behind or digitally excluded. Comprehensive data from the 2017 Current Population Survey shows that older people and persons with disabilities still lag behind in computer and internet access. Furthermore unique ethical, privacy and safety implications exist for the use of technology for older persons and people with disabilities and careful reflection is required to incorporate these aspects, which are not always part of a traditional software lifecycle. In this paper we present the Inclusion4EU project that aims to co-design a new framework, guidelines and checklists for inclusive software design and development with end-users from excluded categories, academics with expertise in human-computer interaction and industry practitioners from software engineering.

The influence of marketing communications agencies on activist brands’ moral competency development and ability to engage in authentic brand activism: Wieden+Kennedy ‘Just Does It’

To compel people to bring about social change, activist brands must develop moral competency to ensure that they are perceived as authentic. However, there is limited research on the processes underpinning brands’ moral competency development. Furthermore, prior research on authentic brand activism has largely conceived of brands as singular entities as opposed to networks of diverse actors. Consequently, little is known about how inter-organisational collaborations influence brands’ moral competency development and ability to engage in authentic activism. We address this gap by presenting a case study of Nike, Inc./Wieden+Kennedy campaigns from 2017 to 2021 centred on women’s empowerment and of controversies from this period surrounding discrimination of female employees at Nike, Inc. By locating brand activism within the advertising client–agency relationship, we develop a cyclical model of activist brands’ moral competency development. Our model highlights that moral competency is not a static feature of brands but develops dynamically, and we identify the mobilisation of interactional expertise as a key driver of moral competency development. Furthermore, our model shows that a brand’s moral competency is not developed by a single organisation but through inter-organisational collaborations. We also demonstrate the challenges emerging from these collaborations and develop practical implications for activist brands.

Bridging the Communication Gap Between People With Cognitive Impairments and Their Caregivers Using mHealth Apps: User-Centered Design and Evaluation Study With People With 22q11 Deletion Syndrome.

In families with children with cognitive impairments, both parents and children experience tension and have questions because of a lack of communication and adequate information. Therefore, there is a great need to develop tools that can help bridge the communication gap between patients and caregivers by stimulating conversations and providing psychoeducational tools. mHealth apps show great potential in this context. The objective of this research is to discover the specific ways young people with cognitive impairments and their families interact with mHealth apps in the context of bridging the communication gap. This newly discovered information leads to potentially more impactful mHealth interventions in the future. Therefore, this paper documents the design and development of a mHealth app for a specific group of people with cognitive impairments-people with 22q11 deletion syndrome (22q11 DS)-and their caregivers, as well as key learnings from the evaluation of this app. An iterative, user-centered design approach is used to design and develop the app. Design and evaluation happens in 2 phases. During the design phase, feedback is gathered from 2 medical experts and 3 human computer interaction (HCI) experts using a low-fidelity paper prototype. During the evaluation phase, feedback is gathered from 8 families with a child with 22q11 DS using a fully working proof of concept. This phase consists of a semistructured interview, a 2-4-week trial period, and a concluding semistructured interview. The evaluation results of the fully working proof of concept led to design recommendations related to four different topics: (1) overcoming usage barriers, (2) stimulating conversation through a mHealth app, (3) providing information, and (4) bringing continual added value. Results are presented according to six different categories obtained in a thematic analysis: (1) feedback about the app "as is," (2) difficulties, (3) comparison between physical and digital tool, (4) extensions, (5) intention, and (6) other. In this research, the need for apps that help bridge the communication gap between a person with cognitive impairment and their caregiver is confirmed. All participating families express their gratitude and mention the added value for other families. Therefore, it is highly encouraged for clinics and institutions to take action and develop an app to be used in practice. Furthermore, considerations when developing for people with 22q11 DS, or more broadly, people with cognitive impairments, are proposed. First, one should keep design principles in mind to overcome usage barriers. Next, recognition is a key concept when stimulating conversations through mobile apps. Third, information should be provided by a trusted source, and more than just clinical information can be considered valuable. Finally, having the possibility of using a digital tool that can be personalized brings continual added value.

Techniques for overcoming difficult interdisciplinary dialogue in expert panels: lessons for interactional expertise

Which techniques and skills can be used to overcome the obstacle of dialogue between scientists in different disciplines? Drawing on Gorman’s book on trading zones and Collins and Evans’ thinking on interactional expertise, this article analyses the work by individuals to manage five interdisciplinary panels commissioned by French ministries. It observes that these panel managers have different techniques to open, construct and close the debate. These techniques, which condition the submission of the final report, call for skills that managers acquire over the course of their experiences in trading zones. Implications of findings for the formation and management of interdisciplinary expert groups and for the concept of interactional expertise are discussed.

VisCoMET: Visually Analyzing Team Collaboration in Medical Emergency Trainings

AbstractHandling emergencies requires efficient and effective collaboration of medical professionals. To analyze their performance, in an application study, we have developed VisCoMET, a visual analytics approach displaying interactions of healthcare personnel in a triage training of a mass casualty incident. The application scenario stems from social interaction research, where the collaboration of teams is studied from different perspectives. We integrate recorded annotations from multiple sources, such as recorded videos of the sessions, transcribed communication, and eye‐tracking information. For each session, an information‐rich timeline visualizes events across these different channels, specifically highlighting interactions between the team members. We provide algorithmic support to identify frequent event patterns and to search for user‐defined event sequences. Comparing different teams, an overview visualization aggregates each training session in a visual glyph as a node, connected to similar sessions through edges. An application example shows the usage of the approach in the comparative analysis of triage training sessions, where multiple teams encountered the same scene, and highlights discovered insights. The approach was evaluated through feedback from visualization and social interaction experts. The results show that the approach supports reflecting on teams' performance by exploratory analysis of collaboration behavior while particularly enabling the comparison of triage training sessions.

Evaluating expertise in forensic anthropology.

The medicolegal system relies on the ability of experts and non-experts alike to make judgments about expertise and use those judgments to reach consequential decisions. Given the lack of standard criteria, mandatory certification, or licensure for establishing expertise required to practice forensic anthropology and testify as an expert witness, we sought to understand how individuals assess and identify expertise in forensic anthropology by using a social science tool called the Imitation Game. This tool assesses immersion in a specific area of study via discourse, with the premise that some individuals lacking expertise themselves imitate or attempt to pass as experts. For this project we recruited volunteers with varying expertise in forensic anthropology to participate in interviews which asked questions about the practice and structure of the discipline. Those interviews were transcribed, anonymized, and evaluated by other recruited individuals with varying expertise in forensic anthropology. Results found that judges who were experts in forensic anthropology performed better than non-expert judges in determining who was not an expert in forensic anthropology based on their anonymized responses; however, nearly half of the non-experts were still able to pass as experts in forensic anthropology. The difficulties in assessing expertise based on discourse interactions demonstrates the value and need for well-defined credentials and mandatory certification to practice forensic anthropology. This study demonstrates that accurately identifying expertise in forensic anthropology may be challenging for both experts and non-experts, especially when relying solely on interactional expertise rather than formal assessments of competency which directly elucidate contributory expertise.

ESTRO-EANO guideline on target delineation and radiotherapy details for glioblastoma

Background and PurposeTarget delineation in glioblastoma is still a matter of extensive research and debate. This guideline aims to update the existing joint European consensus on delineation of the clinical target volume (CTV) in adult glioblastoma patients. Material and MethodsThe ESTRO Guidelines Committee identified 14 European experts in close interaction with the ESTRO clinical committee and EANO who discussed and analysed the body of evidence concerning contemporary glioblastoma target delineation, then took part in a two-step modified Delphi process to address open questions. ResultsSeveral key issues were identified and are discussed including i) pre-treatment steps and immobilisation, ii) target delineation and the use of standard and novel imaging techniques, and iii) technical aspects of treatment including planning techniques and fractionation. Based on the EORTC recommendation focusing on the resection cavity and residual enhancing regions on T1-sequences with the addition of a reduced 15 mm margin, special situations are presented with corresponding potential adaptations depending on the specific clinical situation. ConclusionsThe EORTC consensus recommends a single clinical target volume definition based on postoperative contrast-enhanced T1 abnormalities, using isotropic margins without the need to cone down. A PTV margin based on the individual mask system and IGRT procedures available is advised; this should usually be no greater than 3 mm when using IGRT.

Dimensions of Diversity, Equity, and Inclusion

This paper reports on the ACM SPLASH 2022 conference panel on the Software Profession Dimensions of DEI [Diversity, Equity, and Inclusion]. The panelists observed that increased awareness for the dimensions of DEI will help reduce inequity in systems and technologies. The panel further observed that there are dimensions of diversity to consider beyond age, color, gender, and physical ability. As technologists, we need to leverage diverse talents and perspectives, including by those who may not have in-depth domain knowledge or a university education specific to computer science or engineering. Panelists included academic researchers and industry practitioners: experts in human-computer interaction, teamwork, AI applications, systems design, and gender diversity issues. The hybrid organization of the panel enabled participants from Taiwan and North America to join the in-room Australian and New Zealand panelists. Panelists explored a variety of related topics, ranging from how software can cause harm to the risks of "unconscious bias" in R&D and the challenges of building diverse teams. Panelists shared observations that AI and ML systems can be negatively impacted by the bias inherent with inadequate or incomplete training data used to tune algorithms. The panel discussed and summarized questions to foster increased DEI awareness by software professionals, researchers, and community leaders.

Epistemic Trust as an Interactional Accomplishment in Pediatric Well-Child Visits: Parents’ Resistance to Solicited Advice as Performing Epistemic Vigilance

ABSTRACT Epistemic trust – i.e. the belief in knowledge claims we do not understand or cannot validate – is pivotal in healthcare interactions where trust in the source of knowledge is the foundation for adherence to therapy as well as general compliance with the physician’s suggestions. However, in the contemporary knowledge society professionals can no longer count on unconditional epistemic trust: boundaries of the legitimacy and extension criteria of expertise have become increasingly fuzzier and professionals must take into account laypersons’ expertise. Drawing on a conversation analysis-informed study of 23 videorecorded pediatrician-led well-child visits, the article deals with the communicative constitution of healthcare-relevant phenomena such as: epistemic and deontic struggles between parents and pediatricians, the local accomplishment of (responsible) epistemic trust, and the possible outcomes of blurred boundaries between the layperson’s and the professional’s “expertise.” In particular, we illustrate how epistemic trust is communicatively built in sequences where parents request the pediatrician’s advice and resist it. The analysis shows how parents perform epistemic vigilance by suspending the immediate acceptance of the pediatrician’s advice in favor of inserting expansions that make it relevant for the pediatrician to account for her advice. Once the pediatrician has addressed parents’ concerns, parents perform (delayed) acceptance, which we assume indexes what we call responsible epistemic trust. While acknowledging the advantages of what seems to be a cultural change in parent-healthcare provider encounters, in the conclusion we advance that possible risks are implied in contemporary fuzziness of the legitimacy and extension criteria of expertise in doctor-patient interaction.

Practicing critical physical geography: New trading zones and interactional expertise in an expanding field

Practicing critical physical geography: New trading zones and interactional expertise in an expanding field