China Europe International Business School
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Misleading air quality reports lower the public's perception of pollution and increase travel behavior in China
No full textExperiência de pais enlutados devido ao óbito fetal: revisão de escopo sobre o cuidado de profissionais da saúde
No full textTrata-se de uma revisão de escopo que busca identificar na literatura, as experiências dos pais que passaram pelo luto após uma perda perinatal
The Rise in Occupational Coding Mismatches and Occupational Mobility, 1991-2020
No full textKim, Andrew Taeho and ChangHwan Kim. "The Rise in Occupational Coding Mismatches and Occupational Mobility, 1991-2020." Sociolocial Methods & Research
Passive Digital Marker Laboratory
No full textThis project aims at developing Passive Digital Marker Models for chronic disease prognosis and diagnosis using routine Electronic Medical Records dat
Revising the Trust(worthiness) Questionnaire to Assess The Role of Performance, Utility, Purpose, and Transparency
No full textScience is inherently self-correcting, and with this in mind, we aim to revise both the construct and the scale of our MTQ. After an extensive review of the literature (see Kohn, 2021 for an overview), and with reference to Mayer’s original trust model 1995, we recognize that the construct of our questionnaire has been focused on trustworthiness, rather than trust, from the start. Additionally, findings from multiple studies have revealed that the sensitivity of our questionnaire is limited by the use of a 4-point Likert scale. Therefore, we plan to revise our construct of interest to explicitly focus on trustworthiness and adjust the scale from 4 points to 6 points. We will then investigate the revised scale in terms of its factorial structure, reliability, and validity, using data collected in conjunction with another research question
Biased Mind or Biased World? Assessing How Cultural Beliefs Underlie Social Sampling
No full textSocietal expectations have been found to determine which social roles people should occupy. However, so far, these beliefs have been mainly explored with self-report and response conflict measures where expectation-confirming (vs. violating) judgments elicit faster responding. The present lab study (N = 57) applied a novel approach – the random generation paradigm – to understand how pre-existing social assumptions determine which information is retrieved from memory when prompted by different social categories. Specifically, we asked participants to imagine (hypothetical) people working in certain professions and to say their names out loud. We found that the statistics of the uttered names reflected societal gender stereotypes and environmental statistics of actual people working in these occupations. Importantly, the proportion of female and male names generated for each profession by each participant predicted their performance in a sequential priming task (prime = stereotyped professions, target = female and male faces) better than the environmental statistics or participants’ estimates of gender proportions. Together, these findings offer a new, and widely applicable, method for exploring cultural beliefs and help clarify how social information is sampled from memory when making social judgments
Now is the Time: Operationalizing Generative Neurophenomenology through Interpersonal Methods
No full textLived experience is shaped by intersubjective, social, cultural, and historical dimensions. For the past 30 years, neurophenomenology has adopted an embodied perspective of the mind by integrating first-person experiential and third-person neurobehavioral perspectives. Indeed, the neurophenomenology pragmatic approach has embraced an embodied perspective of the mind by integrating experiential first-person and neurobehavioural third-person perspectives. Neurophenomenology reveals mutual constraints between both, as they co-constitute a person’s lived experience. This article emphasizes the intersubjective and social facets of lived experience as well as the readiness of the scientific community to use a "generative neurophenomenology" approach, envisioned in the 1990s by Francisco Varela. For this endeavour, we clarify three meanings of “generative” as it applies distinctly to generative phenomenology, generative passages, and generative models. Then, we propose to combine existing methods to update neurophenomenology program: First, by transitioning from individual to multiple people phenomenology methods that include intersubjectivity experience; second, by expanding traditional neuroscience to include measures of multimodal interpersonal synchrony; and third, by leveraging multiple computational tools to integrate different viewpoints, thereby enriching our understanding of lived experience; We also underscore the potential of diverse mathematical formalisms to capture aspects of human experience, all while underscoring that using computational approaches to model neurophenomenology does not entail endorsing computationalism as a grounding hypothesis of human experience. Finally, we illustrate the clinical relevance of this paradigm through two case studies in psychiatry—(1) with interactive dyads in autism and (2) with multiple members in family therapy sessions—demonstrating its translational potential
Typing in tandem: language planning in multi-sentence text production is fundamentally parallel
No full textClassical serial models view the process of producing a text as a chain of discrete pauses during which the next span of text is planned, and bursts of activity during which this text is output onto the page or computer screen. In contrast, parallel models assume that by default planning of the next text unit is performed in parallel with previous execution. We instantiated these two views as Bayesian mixed-effects models across six sets of keystroke data from child and adult writers composing different types of multi-sentence text. We modelled interkey intervals with a single distribution, hypothesised by the serial processing account, and with a two-distribution mixture model that is hypothesised by the parallel-processing account. We analysed intervals occuring before-sentence, before word, and within word. Model comparisons demonstrated strong evidence in favour of the parallel view across all datasets. When pausing occurred, sentence initial inter-keystroke intervals were longer than word initial pauses. This is consistent with the idea that edges of larger linguistic
units are associated with higher level planning. However, we found – across populations –
that interkey intervals at word and even at sentence boundaries were often too brief to
plausibly represent time to plan what was written next. Our results cannot be explained by
the serial processing but are in line with the parallel view of multi-sentence text composition