Increasingly, retailers rely on interactive technologies to improve consumers' shopping experiences. On the one side, interactive kiosks and smart mirrors make use of dedicated devices and software ...to explain, configure, and recommend products. On the other side, computer programs – so-called apps – are installed on the consumer's own device for the same purpose. They can be used at home, or – if installed on a mobile device – in retail outlets or on the move. In all cases, augmented reality (AR) can support these purposes by placing virtual content (e.g. new furniture) in a real environment (the consumer's home). The overall perception and acceptance toward such interactive technologies are discussed in this paper. Users' perceptions and experiences are measured by applying a modified technology acceptance model (TAM). Four experiments, two with marker-based and two with markerless AR apps are presented to support the generalization of the results, the measurement models and the measurement approach. The results are satisfactory with regard to the robustness of the TAM model. However, the relative importance of hedonic (enjoyment, pleasure, fun) and utilitarian (information) aspects varies for different kinds of AR apps and has to be considered for improvement to occur. From a measurement point of view the acquiescence bias has to be dealt with when developing scale items.
•The adoption of Augmented Reality (AR) technologies in retailing is investigated.•Two AR interaction approaches – markerless and marker-based – are compared.•Measurement is performed with a direct and an indirect approach.•Four experiments with a total of 978 participants are used for hypothesis testing.•Findings reflect similarities and dissimilarities of the approaches.
Using meta-analytic techniques, we examined systematically the evidence linking peer social acceptance to academic achievement. Based on 72 studies that yielded 157 effect sizes, we analyzed ...relations between social acceptance and academic outcomes (e.g., academic grades, test scores), including the extent to which relations were moderated by sex, grade level (primary vs. secondary), culture (country of origin), and measurement strategies (peer nomination vs. rating strategies; classroom-based vs. standardized indicators of achievement); and mediated by motivation (self-concept, affective outcomes) and active engagement. A medium effect size suggests that peer social acceptance is related significantly and positively to academic achievement. Moderator effects were medium to large, suggesting that relations were significantly stronger for younger students, students from Asian countries, and for classroom-based assessments of achievement. Small effect sizes suggest that academic-specific self-beliefs (e.g., efficacy), negative affect, and active engagement partly mediate relations between social acceptance and academic performance.
More and more products in everyday life are using artificial intelligence (AI). The purpose of this research is to investigate influence factors in an acceptance model on behavioral intention and use ...behavior for products containing AI in an everyday life environment. Using PLS-Analysis, this study analyzes additional influence factors to the UTAUT2 model in the three application segments mobility, household, and health, using a sample of 21,841 respondents. Except for safety security, all additional factors to the UTAUT2 model play a relevant role in explaining behavioral intention and use behavior of products containing AI. This study answers the applicability of an established acceptance model for products that incorporate AI, extended by five additional influencing factors.
•New research model for measuring the acceptance of products with artificial intelligence.•Research within three segments of everyday life: mobility, household, and health.•Sample in three research areas with more than 7000 respondents each.•Extended the UTAUT2 model by five additional influencing factors.
Grounded in Interpersonal Acceptance-Rejection Theory, this study assessed children’s (
N
= 1315) perceptions of maternal and paternal acceptance-rejection in nine countries (China, Colombia, Italy, ...Jordan, Kenya, the Philippines, Sweden, Thailand, and the United States) as predictors of children’s externalizing and internalizing behaviors across ages 7–14 years. Parenting behaviors were measured using children’s reports on the Parental Acceptance-Rejection Questionnaire. Child externalizing and internalizing behaviors were measured using mother, father, and child reports on the Achenbach System of Empirically-Based Assessment. Using a multilevel modeling framework, we found that in cultures where both maternal and paternal indifference/neglect scores were higher than average–compared to other cultures–children’s internalizing problems were more persistent. At the
within-culture
level, all four forms of maternal and paternal rejection (i.e., coldness/lack of affection, hostility/aggression, indifference/neglect, and undifferentiated rejection) were independently associated with either externalizing and internalizing problems across ages 7–14 even after controlling for child gender, parent education, and each of the four forms of parental rejection. Results demonstrate that the effects of perceived parental acceptance-rejection are panculturally similar.
Highlights
Studied effects of parent coldness, hostility, neglect, and rejection on age 7–14 mental health in 12 cultural groups.
In cultures where mother and father neglect was higher than average, children’s internalizing problems persisted.
Higher than culturally-average levels of the 4 parenting behaviors predicted higher externalizing/internalizing problems.
These between- and within-culture parenting effects persisted controlling for child gender and parent education.
Results demonstrate that the effects of perceived parental acceptance-rejection are panculturally similar.
Although vaccines are considered the most effective and fundamental therapeutic tools for consistently preventing the COVID-19 disease, worldwide vaccine hesitancy has become a widespread public ...health issue for successful immunization. The aim of this review was to identify an up-to-date and concise assessment of potential factors influencing COVID-19 vaccine acceptance and refusal intention, and to outline the key message in order to organize these factors according to country count.
A systematic search of the peer-reviewed literature articles indexed in reputable databases, mainly Pub Med (MEDLINE), Elsevier, Science Direct, and Scopus, was performed between21stJune 2021 and10th July 2021. After obtaining the results via careful screening using a PRISMA flow diagram, 47 peer-reviewed articles met the inclusion criteria and formed the basic structure of the review.
In total, 11 potential factors were identified, of which the greatest number of articles (n = 28) reported "safety" (34.46%; 95% CI 25.05─43.87) as the overarching consideration, while "side effects" (38.73%; 95% CI 28.14─49.32) was reported by 22 articles, which was the next common factor. Other potential factors such as "effectiveness" were identified in 19 articles (29.98%; 95% CI 17.09─41.67), followed by "trust" (n = 15 studies; 27.91%; 95% CI 17.1─38.73),"information sufficiency"(n = 12; 34.46%; 95% CI 35.87─63.07),"efficacy"(n = 8; 28.73%; 95% CI 9.72─47.74), "conspiracy beliefs" (n = 8; 14.30%; 95% CI 7.97─20.63),"social influence" (n = 6; 42.11%; 95% CI 14.01─70.21), "political roles" (n = 4; 16.75%; 95% CI 5.34─28.16), "vaccine mandated" (n = 4; 51.20%; 95% CI 20.25─82.15), and "fear and anxiety" (n = 3; 8.73%; 95% CI 0.59─18.05). The findings for country-specific influential vaccination factors revealed that, "safety" was recognized mostly (n = 14) in Asian continents (32.45%; 95% CI 19.60─45.31), followed by the United States (n = 6; 33.33%; 95% CI12.68─53.98). "Side effects" was identified from studies in Asia and Europe (n = 6; 35.78%; 95% CI 16.79─54.77 and 16.93%; 95% CI 4.70─28.08, respectively), followed by Africa (n = 4; 74.60%, 95% CI 58.08─91.11); however, public response to "effectiveness" was found in the greatest (n = 7) number of studies in Asian countries (44.84%; 95% CI 25─64.68), followed by the United States (n = 6; 16.68%, 95% CI 8.47─24.89). In Europe, "trust" (n = 5) appeared as a critical predictor (24.94%; 95% CI 2.32─47.56). "Information sufficiency" was identified mostly (n = 4) in articles from the United States (51.53%; 95% CI = 14.12─88.74), followed by Asia (n = 3; 40%; 95% CI 27.01─52.99). More concerns was observed relating to "efficacy" and "conspiracy beliefs" in Asian countries (n = 3; 27.03%; 95% CI 10.35─43.71 and 18.55%; 95% CI 8.67─28.43, respectively). The impact of "social influence" on making a rapid vaccination decision was high in Europe (n = 3; 23.85%, 95% CI -18.48─66.18), followed by the United States (n = 2; 74.85%). Finally, "political roles" and "vaccine-mandated" were important concerns in the United States.
The prevailing factors responsible for COVID-19 vaccine acceptance and hesitancy varied globally; however, the global COVID-19 vaccine acceptance relies on several common factors related to psychological and, societal aspect, and the vaccine itself. People would connect with informative and effective messaging that clarifies the safety, side effects, and effectiveness of prospective COVID-19 vaccines, which would foster vaccine confidence and encourage people to be vaccinated willingly.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
•This study tests an artificial intelligent device use acceptance model.•The model provides insights on consumer acceptance/rejection of AI device.•Level of anthropomorphism enhances customers’ ...effort expectancy.•Emotion determines acceptance and rejection of AI devices.•A multi-stage appraisal is necessary to understand behavioral outcomes.
This study develops and empirically tests a theoretical model of artificially intelligent (AI) device use acceptance (AIDUA) that aims to explain customers’ willingness to accept AI device use in service encounters. The proposed model incorporates three acceptance generation stages (primary appraisal, secondary appraisal, and outcome stage) and six antecedents (social influence, hedonic motivation, anthropomorphism, performance expectancy, effort expectancy, and emotion). Utilizing data collected from potential customers, the proposed AIDUA model is tested. Findings suggest that customers go through a three-step acceptance generation process in determining whether to accept the use of AI devices during their service interactions. Findings indicate that social influence and hedonic motivation are positively related to performance expectancy while anthropomorphism is positively related to effort expectancy. Both performance and effort expectancy are significant antecedents of customer emotions, which determines customers’ acceptance of AI device use in service encounters. This study provides a conceptual AI device acceptance framework that can be used by other researchers to better investigate AI related topics in the service context.
Smart homes allow owners to monitor and control wide range of home appliances remotely and intelligently. Despite its potential, the acceptance of smart homes by residents is still far from ...expectations. Thus, this study aims to investigate the factors that influence residents’ acceptance and usage of smart home. By extending the Technology Acceptance Model (TAM), this research incorporates more factors related to users such as trust, awareness, enjoyment, and perceived risks to study intention to use smart homes and investigate their impact quantitatively by using SEM-PLS approach. Results show that trust, awareness, enjoyment, and perceived risks, with perceived usefulness and perceived ease of use significantly influence attitude towards smart homes which, in turn, impact the intention to use smart homes.
•This paper presents a model to understand users' acceptance of smart homes in Jordan.•The model incorporates more factors related to users such as trust, awareness, enjoyment, and perceived risks.•Results show that trust, awareness, and enjoyment are significantly influence the intention to use smart homes.
Examining the determinants of technology acceptance has been a central interest across disciplines. The technology acceptance model (TAM) and its variants and extensions are the most popular ...theoretical frameworks in this line of research. Two model-based meta-analytical approaches, that is, meta-meta-analysis and conventional meta-analysis, are used to pool the correlations and to test the path relationships among the variables of the TAM. We find that the extended TAM, which we term the TAM Plus, prevails in the model fit testing and that the results of the pooled correlations and path coefficients estimated using the meta-meta-analysis and meta-analysis are generally consistent.
Many have proposed that Acceptance and Commitment Therapy (ACT) may be particularly effective for improving outcomes in chronic disease/long-term conditions, and ACT techniques are now being used ...clinically. However, reviews of ACT in this context are lacking, and the state of evidence is unclear. This systematic review aimed to: collate all ACT interventions with chronic disease/long-term conditions, evaluate their quality, and comment on efficacy. Ovid MEDLINE, EMBASE and Psych Info were searched. Studies with solely mental health or chronic pain populations were excluded. Study quality was then rated, with a proportion re-rated by a second researcher. Eighteen studies were included: eight were randomised controlled trials (RCTs), four used pre–post designs, and six were case studies. A broad range of applications was observed (e.g. improving quality of life and symptom control, reducing distress) across many diseases/conditions (e.g. HIV, cancer, epilepsy). However, study quality was generally low, and many interventions were of low intensity. The small number of RCTs per application and lower study quality emphasise that ACT is not yet a well-established intervention for chronic disease/long-term conditions. However, there was some promising data supporting certain applications: parenting of children with long-term conditions, seizure-control in epilepsy, psychological flexibility, and possibly disease self-management.
•A growing body of work (18 studies) has evaluated ACT in long-term conditions.•Study quality is mostly low. As ACT is used clinically, high-quality RCTs are needed.•Some promising evidence for parenting of children with LTCs, seizure control, psychological flexibility, self-management.
A modular, transdiagnostic approach to treatment design and implementation may increase the public health impact of evidence-based psychosocial interventions. Such an approach relies on algorithms ...for selecting and implementing treatment components intended to have a specific therapeutic effect, yet there is little evidence for how components function independent of their treatment packages when employed in clinical service settings. This study aimed to demonstrate the specificity of treatment effects for two components of Acceptance and Commitment Therapy (ACT), a promising candidate for modularization. A randomized, nonconcurrent, multiple-baseline across participants design was used to examine component effects on treatment processes and outcomes in 15 adults seeking mental health treatment. The ACT OPEN module targeted acceptance and cognitive defusion; the ACT ENGAGED module targeted values-based activation and persistence. According to Tau-U analyses, both modules produced significant improvements in psychiatric symptoms, quality of life, and targeted therapeutic processes. ACT ENGAGED demonstrated greater improvements in quality of life and values-based activation. ACT OPEN showed greater improvements in symptom severity, acceptance, and defusion. Both modules improved awareness and non-reactivity, which were mutually targeted, though using distinct intervention procedures. Both interventions demonstrated high treatment acceptability, completion, and patient satisfaction. Treatment effects were maintained at 3-month follow up. ACT components should be considered for inclusion in a modular approach to implementing evidence-based psychosocial interventions for adults.
•ACT component modules were examined for specificity of treatment effects in adults.•Both modules improved symptom severity and life quality, but effect sizes differed.•The OPEN module had larger effects on symptoms, cognitive defusion, and acceptance.•The ENGAGED module had larger effects on life quality and values-based activation.•Both modules improved awareness and nonreactivity to thoughts, feelings, sensations.
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