Computers in Human Behavior
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6.83
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7,294
Papers 7,188
1 page of 719 pages (7,188 results)
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#1Kaifeng Liu (TJU: Tianjin University)
#2Da Tao (SZU: Shenzhen University)H-Index: 15
Abstract null null AI-based smart healthcare services are emerging as promising tools to improve efficiency and effectiveness of healthcare service delivery. This study aimed to examine the roles of trust and three AI-specific characteristics (i.e., personalization, loss of privacy, anthropomorphism) in public acceptance of smart healthcare services based on an extended Technology Acceptance Model. The model's validity was confirmed using a partial least squares structural equation modeling tech...
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#1Merylin Monaro (UNIPD: University of Padua)H-Index: 11
#2Stéphanie Maldera (UNIPD: University of Padua)
Last. Nicolò Navarin (UNIPD: University of Padua)H-Index: 12
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Abstract null null In the last decades, research has claimed facial micro-expressions are a reliable means to detect deception. However, experimental results showed that trained and naive human judges observing facial micro-expressions can distinguish liars from truth-tellers with an accuracy just slightly above the chance level. More promising results recently came from the field of artificial intelligence, in which machine learning (ML) techniques are used to identify micro-expressions and are...
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#1Beatrice Sciacca (DCU: Dublin City University)
#2Derek Alan Laffan (DCU: Dublin City University)H-Index: 1
Last. Tijana Milosevic (DCU: Dublin City University)H-Index: 7
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During the COVID-19 pandemic, an increasing reliance on digital technology to carry out social, entertainment, work and school activities increased, which may have affected the ways in which parents mediated their children's digital technology use. Given the prominent role that digital technology will have in the future, it is important to investigate parent and child characteristics which impacted parental mediation of children's digital technology use. Therefore, the present study aimed at ana...
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#1Jaegil Lee (PSU: Pennsylvania State University)H-Index: 4
#2Kwan Min Lee (NTU: Nanyang Technological University)H-Index: 28
Abstract null null This study proposes adopting linguistic politeness in vehicle speech interfaces, as active communication between drivers and vehicles will become an essential part of driving with advanced autonomous driving technologies. Two between-subjects experiments were conducted to test the influences of politeness strategies (i.e., asking help, giving a reason, expressing gratitude) on drivers' perceptions of the vehicles. The results indicate that drivers evaluate polite vehicles as m...
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#1Lu GuanH-Index: 3
#2Hai LiangH-Index: 17
Last. Jonathan J. H. ZhuH-Index: 17
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#1Leah Chong (CMU: Carnegie Mellon University)
#2Guanglu Zhang (CMU: Carnegie Mellon University)H-Index: 6
Last. Jonathan Cagan (CMU: Carnegie Mellon University)H-Index: 56
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Abstract null null Artificial intelligence (AI) has shown its promise in assisting human decision-making. However, humans' inappropriate decision to accept or reject suggestions from AI can lead to severe consequences in high-stakes AI-assisted decision-making scenarios. This problem persists due to insufficient understanding of human trust in AI. Therefore, this research studies how two types of human confidence that affect trust, their confidence in AI and confidence in themselves, evolve and ...
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#1Damien Lekkas (Dartmouth College)H-Index: 6
#2George Price (Dartmouth College)H-Index: 1
Last. Nicholas C. JacobsonH-Index: 15
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Abstract null null Intro null As smartphone usage becomes increasingly prevalent in the workplace, the physical and psychological implications of this behavior warrant consideration. Recent research has investigated associations between workplace smartphone use and fatigue and boredom, yet findings are not conclusive. null null null Methods null To build off recent efforts, we applied an ensemble machine learning model on a previously published dataset of N = 83 graduate students in the Netherla...
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#1Obi Ogbanufe (UNT: University of North Texas)H-Index: 5
#2Natalie Gerhart (Creighton University)H-Index: 8
Abstract null null With production increases and new affordances offered by wearable devices, it is surprising that individuals resist the adoption and use of smartwatches. This study examines the barriers to smartwatch adoption to understand why individuals avoid smart technologies. To more fully understand this phenomenon, we draw from reactance theory, which suggests that individuals will react against efforts that infringe upon their perceptions of freedom. Specifically, we develop a researc...
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#1Linda Charmaraman (Wellesley College)H-Index: 12
#2Alicia Doyle LynchH-Index: 10
Last. Jennifer M. Grossman (Wellesley College)H-Index: 49
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Abstract null null Little is known about the effects of social media initiation on digital behaviors from middle childhood to early adolescence, a critical developmental period marked by peer influence and inaugural access to mobile devices. Participants from middle schools in the Northeast U.S. (N = 773; 11–15 years, Mean = 12.6) completed a cross-sectional survey about social media initiation, digital behaviors, and parental restrictions on digital use. Descriptive results demonstrated that ov...
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#1Yael Rozenblatt-Perkal (BGU: Ben-Gurion University of the Negev)
Last. Noa Gueron-Sela (BGU: Ben-Gurion University of the Negev)H-Index: 11
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Abstract null null The present study examined the impact of maternal mobile phone use during mother-child interaction on infants' physiological and behavioral reactivity (i.e., heart rate and negative affect). In this experimental study, 106 mother-infant (M age = 11.88 months; 51% male) dyads were randomly assigned to one of three experimental conditions. All conditions started and ended with a 3-min mother-child free-play and the manipulation occurred in between them: (1) Mobile-phone-disrupti...
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