Filling Gaps in the Nomological Networks for Dominance and Affiliation by Examining Self-Informant Agreement on Momentary Interpersonal Behavior

Interpersonal functioning involves an interplay of subjective perceptions and overt behavior. This study examines agreement between self and informant reports of behavior measured naturalistically to investigate the associations between observable behavior, self-perceptions, and others’ perceptions and to enrich the nomological networks for the domains of dominance and affiliation. We studied a sample of romantic couples (N=193) who rated their own and their partner’s interpersonal behavior during a 21-day ambulatory assessment (AA) protocol. We used a multitrait-multimethod-multirater correlation matrix including self- and informant-reported averages and variability of dominance and affiliation measured by AA and cross-sectional self-reports of dominance, affiliation, and interpersonal distress. There was no self-informant agreement on dominance measured by AA, but there was moderate agreement on affiliation averages and variability. Only AA self-reports of average dominance and affiliation, not informant reports, converged with analogous cross-sectional self-reports. Both self and informant reports of dominance and affiliation variability correlated with self-reported interpersonal distress. Results suggest that the internal versus external experiences of dominance and affiliation differ and that these differences have important implications in everyday interpersonal functioning. Our findings also show that self-perceptions of variability in dominance and affiliation, others’ perceptions of variability, and actual behavioral variability relate to interpersonal problems.

Mechanisms of Human Motor Learning Do Not Function Independently

Human motor learning is governed by a suite of interacting mechanisms each one of which modifies behavior in distinct ways and rely on different neural circuits. In recent years, much attention has been given to one type of motor learning, called motor adaptation. Here, the field has generally focused on the interactions of three mechanisms: sensory prediction error SPE-driven, explicit (strategy-based), and reinforcement learning. Studies of these mechanisms have largely treated them as modular, aiming to model how the outputs of each are combined in the production of overt behavior. However, when examined closely the results of some studies also suggest the existence of additional interactions between the sub-components of each learning mechanism. In this perspective, we propose that these sub-component interactions represent a critical means through which different motor learning mechanisms are combined to produce movement; understanding such interactions is critical to advancing our knowledge of how humans learn new behaviors. We review current literature studying interactions between SPE-driven, explicit, and reinforcement mechanisms of motor learning. We then present evidence of sub-component interactions between SPE-driven and reinforcement learning as well as between SPE-driven and explicit learning from studies of people with cerebellar degeneration. Finally, we discuss the implications of interactions between learning mechanism sub-components for future research in human motor learning.

Permutation Entropy as a Universal Disorder Criterion: How Disorders at Different Scale Levels Are Manifestations of the Same Underlying Principle

What do bacteria, cells, organs, people, and social communities have in common? At first sight, perhaps not much. They involve totally different agents and scale levels of observation. On second thought, however, perhaps they share everything. A growing body of literature suggests that living systems at different scale levels of observation follow the same architectural principles and process information in similar ways. Moreover, such systems appear to respond in similar ways to rising levels of stress, especially when stress levels approach near-lethal levels. To explain such communalities, we argue that all organisms (including humans) can be modeled as hierarchical Bayesian controls systems that are governed by the same biophysical principles. Such systems show generic changes when taxed beyond their ability to correct for environmental disturbances. Without exception, stressed organisms show rising levels of ‘disorder’ (randomness, unpredictability) in internal message passing and overt behavior. We argue that such changes can be explained by a collapse of allostatic (high-level integrative) control, which normally synchronizes activity of the various components of a living system to produce order. The selective overload and cascading failure of highly connected (hub) nodes flattens hierarchical control, producing maladaptive behavior. Thus, we present a theory according to which organic concepts such as stress, a loss of control, disorder, disease, and death can be operationalized in biophysical terms that apply to all scale levels of organization. Given the presumed universality of this mechanism, ‘losing control’ appears to involve the same process anywhere, whether involving bacteria succumbing to an antibiotic agent, people suffering from physical or mental disorders, or social systems slipping into warfare. On a practical note, measures of disorder may serve as early warning signs of system failure even when catastrophic failure is still some distance away.

Hybrid Systems to Boost EEG-Based Real-Time Action Decoding in Car Driving Scenarios

The complexity of concurrent cerebral processes underlying driving makes such human behavior one of the most studied real-world activities in neuroergonomics. Several attempts have been made to decode, both offline and online, cerebral activity during car driving with the ultimate goal to develop brain-based systems for assistive devices. Electroencephalography (EEG) is the cornerstone of these studies providing the highest temporal resolution to track those cerebral processes underlying overt behavior. Particularly when investigating real-world scenarios as driving, EEG is constrained by factors such as robustness, comfortability, and high data variability affecting the decoding performance. Hence, additional peripheral signals can be combined with EEG for increasing replicability and the overall performance of the brain-based action decoder. In this regard, hybrid systems have been proposed for the detection of braking and steering actions in driving scenarios to improve the predictive power of the single neurophysiological measurement. These recent results represent a proof of concept of the level of technological maturity. They may pave the way for increasing the predictive power of peripheral signals, such as electroculogram (EOG) and electromyography (EMG), collected in real-world scenarios when informed by EEG measurements, even if collected only offline in standard laboratory settings. The promising usability of such hybrid systems should be further investigated in other domains of neuroergonomics.

Development and Initial Validation of the Duke Misophonia Questionnaire

Misophonia is characterized by decreased tolerance and accompanying defensive motivational system responding to certain aversive sounds and contextual cues associated with such stimuli, typically repetitive oral (e. g., eating sounds) or nasal (e.g., breathing sounds) stimuli. Responses elicit significant psychological distress and impairment in functioning, and include acute increases in (a) negative affect (e.g., anger, anxiety, and disgust), (b) physiological arousal (e.g., sympathetic nervous system activation), and (c) overt behavior (e.g., escape behavior and verbal aggression toward individuals generating triggers). A major barrier to research and treatment of misophonia is the lack of rigorously validated assessment measures. As such, the primary purpose of this study was to develop and psychometrically validate a self-report measure of misophonia, the Duke Misophonia Questionnaire (DMQ). There were two phases of measure development. In Phase 1, items were generated and iteratively refined from a combination of the scientific literature and qualitative feedback from misophonia sufferers, their family members, and professional experts. In Phase 2, a large community sample of adults (n = 424) completed DMQ candidate items and other measures needed for psychometric analyses. A series of iterative analytic procedures (e.g., factor analyses and IRT) were used to derive final DMQ items and scales. The final DMQ has 86 items and includes subscales: (1) Trigger frequency (16 items), (2) Affective Responses (5 items), (3) Physiological Responses (8 items), (4) Cognitive Responses (10 items), (5) Coping Before (6 items), (6) Coping During (10 items), (7) Coping After (5 items), (8) Impairment (12 items), and Beliefs (14 items). Composite scales were derived for overall Symptom Severity (combined Affective, Physiological, and Cognitive subscales) and Coping (combined the three Coping subscales). Depending on the needs of researchers or clinicians, the DMQ may be use in full form, individual subscales, or with the derived composite scales.

PEMBINAAN BAHASA INDONESIA YANG BAIK DAN BENAR DIKALANGAN MAHASISWA DI ERA MILENIAL MELALUI MEDIA SOSIAL

Bahasa Indonesia adalah bahasa nasional negara Indonesia yang memiliki kaidah-kaidah sesuai dengan PUEBI. Dalam berkomunikasi, baik lisan maupun tulisan, kita menggunakan keterampilan berbahasa yang telah dimiliki, meskipun setiap orang memiliki tingkatan atau kualitas yang berbeda-beda. Orang yang memiliki keterampilan berbahasa secara optimal, setiap tujuan komunikasinya akan dapat dengan mudah tercapai. Lain halnya bagi orang yang memiliki tingkat keterampilan bahasa lemah, dalam melakukan komunikasi bukan tujuannya yang akan tercapai, tetapi justru akan sering timbul kesalahpahaman antara penutur dan mitra tuturnya. Tujuan dalam penelitian ini adalah membentuk pemahaman penggunaan bahasa Indonesia yang baik dan benar di era digital pada kalangan mahasiswa, serta membekali target khalayak dalam berperilaku positif di media sosial, sehingga terbentuk perilaku terbuka (overt behavior) yang tampak dari target khalayak. Penelitian ini menggunakan metode deskriptif kualitatif, berarti peneliti menganalisis data yang dikumpulkan dapat berupa kata-kata, gambar dan bukan angka-angka. Dari hasil pembinaan yang dilakukan melalui media sosial instagram dan tik tok, mendapatkan respons positif dari peserta pembinaan bahasa Indonesia. Banyak pengetahuan baru yang mereka dapatkan dari hasil unggahan. Hasil unggahan baik itu melalui instagram dan tik tok dapat menjadi bekal untuk semua kalangan dalam menggunakan bahasa Indonesia yang baik dan benar sesuai dengan PUEBI yang berlaku.

Penyuluhan Pemanfaatan Media Sosial Dalam Mencegah Penyebaran “Hoax” dan “Hate Speech” Bagi Kalangan Pelajar SMU dan Mahasiswa di Wilayah Jabodetabek pada Masa Pandemi COVID-19

Pengabdian yang diselenggarakan pada tanggal 18 Desember 2020 ini bertujuan untuk membentuk pemahaman para pelajar SMU dan mahasiswa di wilayah Jakarta, Bogor, Depok, Tangerang, dan Bekasi (Jabodetabek) mengenai hoax dan hate speech sebagai fenomena di era digital yang semakin meningkat di masa pandemi COVID-19, serta memberikan pembekalan dalam berperilaku positif di media sosial untuk mencegah penyebaran konten negatif, sehingga terbentuk perilaku terbuka (overt behavior) yang tampak dari pelajar SMU dan mahasiswa. Metode kegiatan berupa penyuluhan berbentuk seminar daring (webinar) melalui Zoom Meeting dengan pemaparan materi dengan menggunakan presentasi dan video. Hasil dari pelaksanaan pengabdian ini adalah terbentuknya pengetahuan dan pemahaman para pelajar SMU dan mahasiswa mengenai dampak dari hoax dan hate speech dalam lingkungan masyarakat, sehingga dapat memproduksi, mendistribusikan, dan mengonsumsi informasi di media sosial dengan benar.

The influence of online and offline brand trust on consumer buying intention

PurposeThe study tests a model that considers online brand trust in different nonbrand-owned touchpoints as a multifactorial construct constituted by: social network influencers, bloggers, online retail platforms and brand-related user generated content. Furthermore, it examines the influences that offline and online brand trust exert on consumer buying intention.Design/methodology/approachA convenience sample of 3,335 total individuals participated in the survey. Structural equation modelling was used to test the hypotheses.FindingsOnline brand trust is significantly influenced by trust in all investigated nonbrand-owned touchpoints. Both offline and online brand trust positively influence buying intention.Research limitations/implicationsWhereas brand trust is considered a multidimensional construct that includes both cognitive and affective aspects, in addition to individuals' personality traits, the present study only investigated the rational dimension of the brand trust paradigm. Moreover, this study examined the influence of brand trust on consumers' buying intention and not overt behavior. In addition, even though the extant literature suggests that the relation between trust and behavioral outcomes may vary across cultures, no test of the possible influences that culture exerted on brand trust and BInt was run. Finally, given the convenience sampling method used in this research, statistically significant surveys would provide a more solid basis for the investigated phenomenon, and they would enable an appropriate generalization of the findings.Practical implicationsTo build brand trust and favour buying intention, marketers should monitor and influence the online touchpoints that are partially under or totally out of their control, and reconceive and manage physical stores.Originality/valueThis paper contributes to the stream of literature on online brand trust by proving that it is a multifactorial construct resulting from trust in different non-proprietary online entities and pointing out the prevalent role that physical stores play in shaping consumer buying intention. It also indicates that a trust transfer effect takes place between different online information sources and offline outlets.

Moralizing mental states: The role of trait self-control and control perceptions

Which attributes of a person contribute to their tendency to moralize others’ thoughts? Adopting an individual-difference approach to moral cognition, eight studies (N = 2,033) investigated how people’s ability for self-control shapes their moral reactions to others’ mental states. Specifically, Studies 1a-2b found positive predictive effects of trait self-control (TSC) on the moralization (e.g., blaming) of another person’s fantasies about different immoral behaviors. While ruling out alternative explanations, they furthermore supported the mediating role of ascribing targets control over their mental states. Studies 3a-3b provided correlational evidence of the perceived ability to control one’s own mental states as a mechanism in the relationship between TSC and ascriptions of control to others. Studies 4a-4b followed a causal-chain experimental approach: A manipulation of participants’ self-perceived ability to control their emotions impacted their control ascriptions to others over their immoral mental states (Study 4a), and targets perceived as high (vs. low) in control over their immoral mental states elicited stronger moralizing reactions. Taken together, the present studies elucidate why people moralize others’ purely mental states, even in the absence of overt behavior. More broadly, they advance our knowledge about the role of individual differences, particularly in self-control, in moral cognition.