Factors Influencing Consumers’ Intention to Adopt Fashion Robot Advisors: Psychological Network Analysis

2020 ◽  
pp. 0887302X2094126
Author(s):  
So Young Song ◽  
Youn-Kyung Kim
Keyword(s):  
Network Analysis ◽  
Technology Acceptance ◽  
Social Intelligence ◽  
Online Survey ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Adoption Of Technology ◽  
Intention To Adopt ◽  
Psychological Attributes ◽  
Technology Acceptance Models

Drawing upon the theory of human–robot interaction (HRI), this study examined the relations among perceived characteristics of fashion robot advisors (FRAs), consumers’ negative preconceptions toward robots, and positive dispositions toward technology to identify network differences in adoption and nonadoption groups. For interviews, pretests, and main data collection, we presented video clips of FRAs as stimuli. Based on the data ( n = 464) collected via an online survey, we conducted psychological network analysis to explore defining factors that differentiate adoption and nonadoption groups. The results indicate that perceived characteristics of social intelligence, humanlikeness, and knowledgeableness combined with a positive disposition of technological self-efficacy lead to adoption of FRAs. This study contributes to the literature on the theory of HRI and technology acceptance models, particularly in fashion retail sectors. Furthermore, this study provides a new graphical approach to networks that conceptualizes shoppers’ adoption of technology as a complex interplay of psychological attributes.

Determinants of the Effective Use of UGC (User-Generated Content) on Hotel Room Bookings by Portuguese Travellers

2020 ◽  
Vol 10 (2) ◽  
pp. 30-43
Author(s):  
Susana Bernardino ◽  
J. Freitas Santos ◽  
José Cadima Ribeiro ◽  
André Freitas
Keyword(s):  
Technology Acceptance ◽  
Online Survey ◽  
Empirical Investigation ◽  
Critical Evaluation ◽  
User Generated Content ◽  
Decision Making Process ◽  
Hotel Room ◽  
Technology Acceptance Models ◽  
Hotel Managers ◽  
Effective Use

The presence of user generated content (UGC) on online platforms of hotel room booking operators is changing the way consumers book a hotel room. After a critical evaluation of the technology acceptance models (TAM), the authors discuss the variables that will be employed to predict the effective use of online hotel room bookings by Portuguese travellers. The empirical investigation consists of a linear regression model that was built in order to analyse the data obtained from an online survey of 624 customers of the website Booking.com. The results showed that attitude towards UGC and the perceived ease to use of UGC are important determinants on the buyer's decision-making process of booking a hotel room. This result shows the relevance of UGC (ratings and reviews) for online booking operators, as UGC could influence the booking of a particular hotel room. Further, the result also brings important implications for hotel managers that pay less attention to the feedback of the customers.

scholarly journals The adoption of drones in German agriculture: a structural equation model

2021 ◽  
Author(s):  
Marius Michels ◽  
Cord-Friedrich von Hobe ◽  
Paul Johann Weller von Ahlefeld ◽  
Oliver Musshoff
Keyword(s):  
Technology Acceptance ◽  
Precision Agriculture ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Model ◽  
Latent Factors ◽  
Intention To Adopt ◽  
Binary Model ◽  
Acceptance Model ◽  
Technology Tool

AbstractDrones are one of the latest tools to have been added to farmers’ precision agriculture technology tool kit. Despite the proclaimed benefits, adoption rates of drones are low and literature regarding the adoption of drones in agriculture is scarce. Therefore, this study investigates whether an extended Technology Acceptance Model (TAM) can contribute to the understanding of latent factors influencing farmers’ intention to adopt a drone. The sample of 167 German farmers was collected in 2019 via an online survey. Using partial least squares structural equation modelling and a binary model, the TAM explains 69% of the variance in the intention to use a drone by German farmers. According to the results, raising farmers’ awareness of farm-specific areas of drone application and the confidence level of using a drone can increase farmers’ intention to adopt a drone. The results are of interest for agribusinesses developing drones as well as selling or providing drones. Furthermore, the results are of interest for researchers in precision agriculture technologies.

Classroom Technology Acceptance for Teachers in 3D

2017 ◽  
pp. 221-240
Author(s):  
Vanessa Camilleri ◽  
Sarah de Freitas ◽  
Ian Dunwell ◽  
Matthew Montebello
Keyword(s):  
Teacher Education ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Technology Acceptance ◽  
Learning Technologies ◽  
Teacher Education Programs ◽  
Education Programs ◽  
Adoption Of Technology ◽  
Teachers Perceptions

The acceptance and adoption of technology in the classroom has been identified as a major challenge that many teacher education programs are striving to overcome. This article presents a case study about a 3D immersive VW that has been used as a medium for learning during a teacher education programme. One-hundred-eleven pre-service teachers were enrolled in a 13-week long study unit focusing on the use of different technologies for teaching and learning. A multi-strategy approach was used for data collection and analysis employing quantitative, qualitative and a social network analysis. The findings show that the experience has positively affected the pre-service teachers' perceptions towards different learning technologies. Social network analysis shows that the experience supported learner centric practices. Based on the findings this paper proposes a macro-structure framework that describes a Connectivism-driven agenda for the integration of 3D immersive experiences integrated in teacher education programs.

scholarly journals Hotel Guests' Perceptions of Green Technology Applications, and Practices in the Hotel Industry

2020 ◽  
Vol 4 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Faranak Memarzadeh ◽  
Sulekha Anand
Keyword(s):  
Technology Acceptance ◽  
Online Survey ◽  
Green Technology ◽  
Ease Of Use ◽  
Intention To Adopt ◽  
Technology Applications ◽  
Behavioral Belief ◽  
Positive Correlations ◽  
Acceptance Model ◽  
Industry Sustainability

Although sustainability and technology are two major concerns in the lodging industry, sustainability applications and practices are quite new and in need of more research. This study was conducted to examine and understand hotel guests' perceptions of green technology applications and practices. Data were collected in 2018 from 210 respondents via an online survey. The Technology Acceptance Model was applied to examine how ease of use and usefulness of green technology applications and practices can influence guests' booking decisions. The results showed significant positive correlations between behavioral belief and usefulness and between usefulness and intention to use green technology applications and practices. However, behavioral belief and ease of use were not correlated, nor were ease of use and intention to adopt green technology. These results demonstrate that guests do believe in the important role of green technology in sustainability and they intend to book hotels that adopt this technology.

Mobile apps use for wellness and fitness and university students’ subjective wellbeing

2021 ◽  
pp. 026666692110204
Author(s):  
M Aboelmaged ◽  
Imran Ali ◽  
G Hashem
Keyword(s):  
Technology Acceptance ◽  
Mobile Application ◽  
Subjective Wellbeing ◽  
Mobile Apps ◽  
Decision Makers ◽  
Technology Readiness ◽  
Mediating Effects ◽  
Intention To Adopt ◽  
Technology Acceptance Models ◽  
Health Field

Subjective wellbeing among mobile application users attracted researchers’ interest in recent years due to its prevalent role in enhancing everyday life, particularly during the recent coronavirus pandemic (COVID-19). While previous work has primarily focused on users’ intention to adopt mobile apps for wellness and fitness (MAWF) purposes, scarce attention has been paid to the post-adoption impact of these apps on users’ subjective wellbeing. This study empirically integrates ‘technology readiness’ and ‘technology acceptance’ models (TRAM) to predict subjective wellbeing among MAWF users. It also critically assesses the strength of the mediating effects on the link between technology readiness and subjective wellbeing. Data analysis of 694 actual users of MAWF by means of SEM-PLS approach proves the robust power of the TRAM model in predicting subjective wellbeing. In addition to their mediating effects, technology acceptance constructs tend to be more influenced by positive dimensions (i.e., optimism and innovativeness) than that of negative dimensions (i.e., insecurity and discomfort) of technology readiness. This study is one of the first attempts to predict subjective wellbeing among actual users of MAWF. The study also delineates a broad spectrum of implications that enrich existing research and better inform decision makers in mobile health field.

scholarly journals Success factors for introducing industrial human-robot interaction in practice: an empirically driven framework

2020 ◽  
Author(s):  
Tobias Kopp ◽  
Marco Baumgartner ◽  
Steffen Kinkel
Keyword(s):  
Online Survey ◽  
Success Factors ◽  
Practical Importance ◽  
Human Robot Interaction ◽  
Free Text ◽  
Manufacturing Companies ◽  
Robot Interaction ◽  
Related Factors ◽  
Essential Components ◽  
The Impact

AbstractHuman-robot interaction (HRI) promises to be a means whereby manufacturing companies will be able to address current challenges like a higher demand for customization. However, despite comparably low costs, there are only few applications in practice. To date, it remains unclear which factors facilitate or hinder the successful introduction of industrial collaborative robots (cobots). In a three-step approach, we first developed a comprehensive two-dimensional framework covering three separate phases and four essential components for human-robot working systems. Secondly, we reviewed related literature to identify relevant success factors. Thirdly, in an online survey we asked leading representatives of German manufacturing companies (n = 81) to assess the importance of these factors from a practical point of view. The results reveal that besides technology-related factors like occupational safety and appropriate cobot configuration, employee-centered factors like the fear of job loss and ensuring an appropriate level of trust in the robot are considered important. However, company representatives seem to underestimate the impact of subtle measures to increase employee acceptance which could be incorporated into internal communication strategies prior to and during the introduction of cobots. Comparative analysis based on three distinct application scenarios suggests that most success factors’ practical importance is independent of the motivation for implementing HRI. Furthermore, answers from practitioners in free-text fields reveal that success factors which intuitively come to their mind such as financial factors are not necessarily perceived most important. Finally, we argue for more application-oriented research that focuses on practically relevant factors to guide HRI research, inform cobot development, and support companies in overcoming apparent barriers.

Establishing Face and Content Validity of a Survey to Assess Users’ Perceptions of Automated Vehicles

2020 ◽  
Vol 2674 (9) ◽  
pp. 538-547
Author(s):  
Justin Mason ◽  
Sherrilene Classen ◽  
James Wersal ◽  
Virginia P. Sisiopiku
Keyword(s):  
Technology Acceptance ◽  
Content Validity ◽  
Reliability And Validity ◽  
Face Validity ◽  
Automated Vehicles ◽  
Validity Index ◽  
Adoption Of Technology ◽  
Content Validity Index ◽  
Technology Acceptance Models ◽  
The Face

Fully automated vehicles hold promise for providing numerous societal benefits, including drastically reducing road fatalities. However, we know little about the adoption practices of individuals related to automated vehicles. To assess transportation users’ perceptions of automated vehicles, a 40-item survey was designed using guidance from several technology acceptance models. A focus group was used to assess face validity to ensure the items appeared credible and understandable to the layperson. Seven subject-matter experts rated items for their relevance to provide a content validity index for each item and for the overall survey. The final scale had a scale content validity index rating of 1.00, with 32 of 32 items rated greater than or equal to 0.86 and a scale content validity index of 0.96 (mean content validity index of all items), indicating acceptable content validity. The approach adopted in this study ensured the face and content validity of the survey and enhanced the items’ relevance, concision, and clarity. Future validation is required to assess scale reliability and validity. The paper provides an overview of models used for determining acceptance and adoption of technology and describes in detail the methodology used to establish face and content validity of the questionnaire survey developed for assessing adults’ perceptions of automated vehicles.

Importance of Touch for Conveying Affection in a Multimodal Interaction with a Small Humanoid Robot

2015 ◽  
Vol 12 (01) ◽  
pp. 1550002 ◽  
Author(s):  
Martin D. Cooney ◽  
Shuichi Nishio ◽  
Hiroshi Ishiguro
Keyword(s):  
Social Intelligence ◽  
Humanoid Robot ◽  
Multimodal Interaction ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Main Challenge ◽  
Short Video ◽  
High Degree ◽  
Companion Robots

To be accepted as a part of our everyday lives, companion robots will require the capability to communicate socially, recognizing people's behavior and responding appropriately. In particular, we hypothesized that a humanoid robot should be able to recognize affectionate touches conveying liking or dislike because (a) a humanoid form elicits expectations of a high degree of social intelligence, (b) touch behavior plays a fundamental and crucial role in human bonding, and (c) robotic responses providing affection could contribute to people's quality of life. The hypothesis that people will seek to affectionately touch a robot needed to be verified because robots are typically not soft or warm like humans, and people can communicate through various other modalities such as vision and sound. The main challenge faced was that people's social norms are highly complex, involving behavior in multiple channels. To deal with this challenge, we adopted an approach in which we analyzed free interactions and also asked participants to rate short video-clips depicting human–robot interaction. As a result, we verified that touch plays an important part in the communication of affection from a person to a humanoid robot considered capable of recognizing cues in touch, vision, and sound. Our results suggest that designers of affectionate interactions with a humanoid robot should not ignore the fundamental modality of touch.

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