In the short term, a fully autonomous level of machine intelligence cannot be achieved. Humans are still an important part of HCI systems, and intelligent systems should be able to “feel” and “predict” human intentions in orde...
This study explores the relationship between different implicit and explicit attitudes and green purchase intention. A distinction is made between the cognitive and affective components of implicit attitudes. Negative-oriented attitudes such as cynic...
With the growth of the world’s population, limited healthcare resources cannot provide adequate nursing services for all people in need. The wheelchair-mounted robotic arm (WMRA) with interactive technology could help to improve users’ se...
12 August 2015
The goal of the present study was to examine whether intention type affects eye movement patterns in a change detection task In addition, we assessed whether the eye movement index could be used to identify human implicit intent. We attempted to gene...
9 April 2020
Muscular strength has a strong positive impact on cardiometabolic health and fitness. However, building up strength endurance requires effortful exercises. From a health perspective, it is important to understand which psychological strategies help p...
The information symmetry between humans and machines can enhance mutual perception and understanding, leading to more robust cooperation. Intention recognition is a key technology in natural human–machine collaboration (HMC). However, as the co...
Background: Smoking behaviour change is commonly conceptualized as a stage-based process, yet stage-based cessation status, quit intention, and cessation action may be associated with psychological factors beyond self-reported motivation. Dual-attitu...
This study proposes a scheme to identify insider threats in nuclear facilities through the detection of malicious intentions of potential insiders using subject-wise classification. Based on electroencephalography (EEG) signals, a classification mode...
Background: Although insect-based foods (IBFs) have been recently proposed as a way to face climate crisis and starvation, they encounter aversion from Western countries, which express fear, disgust, and high risk. The contribution of psychology rese...
A situational individual’s mental state contains the dynamic interaction between explicit, conscious cognitive processes and implicit automatisms that develop outside of consciousness. The influence of implicit and unaware processes, often unde...
Sustainable action of brands has become an essential force in cultural sustainability, but there is still a gap in knowledge about how it contributes to brand performance. This study aims to compare the different effects of creative social enterprise...
In this perspective, we follow the idea that an integration of cognitive models with sensorimotor theories of compulsion is required to understand the subjective experience of compulsive action. We argue that cognitive biases in obsessive–compulsive...
Implicit hate speech is difficult to detect because hostile intent is often conveyed through metaphor, irony, coded expressions, stereotypes, or culturally situated allusions rather than direct insults. We first construct a fine-grained Chinese impli...
Health claims may contribute to better informed and healthier food choices and to improved industrial competitiveness by marketing foods that support healthier lifestyles in line with consumer preferences. With the more stringent European Union regul...
Human-centered qualities (e.g., privacy, sense of orientation, etc.) significantly impact the social sustainability of buildings and the well-being of their occupants. However, due to their subjective nature, such qualities are often implicit and are...
Individual responsibility is usually articulated either in terms of an individual’s intentions or in terms of the consequences of her actions. However, many of the situations we encounter on a regular basis are structured in such a way as to re...
Financial text analytics methods are employed to examine social media comments, allowing investors to gain insights and make informed financial decisions. Some emojis within these comments often convey diverse semantics, emotions, or intentions depen...
Green advertising has been shown to motivate consumers to engage in green consumption behavior. However, little is known about how resource scarcity affects the efficacy of explicit and implicit appeals in green advertising. To address it, the presen...
The way we interact with computers has significantly changed over recent decades. However, interaction with computers still falls behind human to human interaction in terms of seamlessness, effortlessness, and satisfaction. We argue that simultaneous...
Popular theories that explain or predict behavioural intentions are based on people’s attitudes and subjective norms. Their application is based on the (often implicit) assumption that people regard a subject (e.g., preventing the spread of COV...
As chatbots become more popular, multi-intent spoken language understanding (SLU) has received unprecedented attention. Multi-intent SLU, which primarily comprises the two subtasks of multiple intent detection (ID) and slot filling (SF), has the pote...
Emotional responses elicited by foods are of great interest for new product developers and marketing professionals, as consumer acceptance proved to be linked to the emotions generated by the product in the consumers. An emotional measurement is gene...
1 April 2022
Vaccination is one of the most important ways of fighting infectious diseases, such as COVID-19. However, vaccine hesitancy and refusal can reduce adherence to vaccination campaigns, and therefore undermine their effectiveness. Although the scientifi...
On food delivery platforms, user decisions are often driven by dynamic contextual factors such as time, intent, and lifestyle patterns. Traditional context-aware recommender systems struggle to capture such implicit signals, especially when user beha...
The implicit feedback information associated with actual behavior can symmetrically reflect consumer preference, which is valuable and deserves a deep investigation. Considering the inherent uncertainty and fuzziness of implicit data, the question of...
16 November 2020
The introduction of the universal two-child policy in 2016 marked a major social transition in China and raised a requirement for family planning services; however, the turnover in family planning staff poses a challenge to satisfying the requirement...
This paper proposes a new CAD model for the design of lattice material components. The CAD model better captures the user’s design intent and provides a dual-scale framework to represent the geometry and material distribution. Conventional CAD...
Human cognitive architecture represents an intelligent natural information processing system that is described by six operational principles: information store, randomness as genesis, borrowing and reorganizing, narrow limits of change, environmental...
In pandemic times, taking advantage of COVID-19-elicited emotions in commercials has been a popular tactic employed by corporations to build successful consumer engagement and, hopefully, increase sales. The present study investigates whether COVID-1...
Discovering tactical knowledge aims to extract tactical data derived from battlefield signal data, which is vital in information warfare. The learning and reasoning from battlefield signal information can help commanders make effective decisions. How...
Due to a culture of resistance around concussion reporting, novel methods are needed to reveal implicit beliefs that could affect symptom reporting. The goal of this study was to elucidate caregivers’ mental models of pediatric concussion sympt...
This study investigates the relationship between the motives behind CSR and consumer extra-role behavior, as well as green purchase intention, specifically within the hospitality industry of an emerging market. This study uses two scenario-based expe...
In recent years, cross-modal retrieval has garnered significant attention due to its potential to bridge heterogeneous data modalities, particularly in aligning visual content with natural language. Despite notable progress, existing methods often st...
This essay is based on a case study of international medical graduates (IMGs) in Canada who migrated from sub-Saharan Africa. The chapter examines how narratives of race are situated and deployed in the field of medicine and can produce some aversive...
The main contribution in this paper is to construct an implicit fixed coefficient Block Backward Differentiation Formulas denoted as
The influenza vaccination rate remains unsatisfactorily low, especially in the healthy adult population. The positive deviant approach was used to identify key psychosocial factors explaining the intention of influenza vaccination in medics and compa...
Tacit communication can be exploited in human robot interaction (HRI) scenarios to achieve desirable outcomes. This paper models a particular search and rescue (SAR) scenario as a modified asymmetric rendezvous game, where limited signaling capabilit...
The problem of identifying Distributed Denial of Service (DDos) attacks is fundamentally a classification problem in machine learning. In relevance to Cloud Computing, the task of identification of DDoS attacks is a significantly challenging problem...
Trajectory prediction is a key component in the development of applications such as mixed urban traffic management and public safety. Traditional models have struggled with the complexity of modeling dynamic crowd interactions, the intricacies of spa...
Accurate comprehension of others’ thoughts and intentions is crucial for smooth social interactions, wherein understanding their perceptual experiences serves as a fundamental basis for this high-level social cognition. However, previous resear...
This study examines the crucial role architecture plays in fostering inclusive and equitable experiences on college campuses, focusing on how physical spaces communicate implicit messages of access and belonging. Drawing on interdisciplinary feminist...
At intersections, road users need to comprehend the intentions of others while also implicitly expressing their own intentions using dynamic information. Identifying patterns of this implicit communication between human drivers and vulnerable road us...
Despite the booming interest in determinants of green (i.e., sustainable) consumption, the psychological factors that influence pro-environmental consumption patterns are not yet fully understood. To answer this call, we developed and analysed a mode...
6 November 2020
This study aimed to assess consumers’ implicit and explicit recall, understanding and perceptions of products with a nutrition claim and a symbol depicting ‘health,’ and to determine whether these perceptions differed among Nutritio...
The large-scale deployment of autonomous vehicles (AVs) in mixed-traffic environments raises an important question: how do human drivers evaluate safety when interacting with AVs under real-world uncertainty? This study aims to examine how drivers&rs...
The question of the authorship of the Daodejing, otherwise known as the Laozi, is a hotly contested debate, and one’s stance on the existence and role of the author can have potential implications for one’s interpretation of the text. Thi...
Noticing the regularity of the task is necessary to enhance motor performance. The experience of noticing further motivates improvement in motor performance. Motor control is explained by a comparator model that modifies the motor command to reduce d...
With the rise of the online ride-hailing market, taxi demand prediction has received more and more research interest in intelligent transportation. However, most traditional research methods mainly focused on the demand based on the original point an...
With the constant exploration and development of intelligent manufacturing, the concept of digital twins has been proposed and applied. In view of the complexity and intellectualization of virtual workshop systems, real workshops can link with virtua...
4 January 2018
Previous studies indicated that television (TV) advertising is associated with higher rates of obesity. The rate of obesity and overweight continues to rise in mainland China, bringing into question whether TV advertising to young audiences might be...
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