What facilitates consumers accepting service robots? A conceptual framework

Confronting with an increasing number of robots swarming into service industries to replace human personnel, studies regarding what drives consumers to use service robots leave to be, unfortunately, still fragmented. Motivated by this, based on a content analysis of the existing studies, this paper establishes a conceptual framework to comprehend the current literature for in-depth understanding concerning customer attitude and their intention to use service robots. Drawing upon a triangulation of perspectives on end-user (i.e., technology user, consumer, and network member) in adoption research, this framework adopts technology acceptance theories, service quality, and expectancy-value theory to set up the skeleton. Furthermore, the antecedents impacting customer acceptance of service robots are subdivided into robot-design, consumer-oriented, relational components, as well as exogenous factors. This paper not only elaborates on the present situation of service robot acceptance research but also promotes it by developing a comprehensive framework regarding the effect factors

Instrument Development for R-Service Quality: A Literature Review

Motivated by a paucity of knowledge on the measurement of robotic service (r-service) quality, the current study strives to review the existing literature on r-service quality, with a focus on the potential methodological issues of developing measurement instruments and identifying the dimensionality of r-service quality. With a content analysis of 55 articles, this study identifies several methodological limitations of existing studies in developing measurement scales of r-service quality. This review reveals that dimensions of r-service quality are prone to be contingent on specific con-texts of service industry and service type. Several common dimensions regarding evaluating r-service are identified, including tangibility, responsiveness, reliability, empathy, assurance, ease of use/usability, usefulness, anthropomorphism, perceived intelligence, and social presence. This study is the first systematic literature review on r-service quality dimensionality

How does Nomophobia Impact Life Satisfaction? Exploring the Mediating Effect of Psychological Disorders

Several studies have highlighted the adverse consequences of information system (IS) excessive use. To expand the knowledge on this heated topic, this paper aims among the first to explore the association between nomophobia and life satisfaction mediated by psychological disorders. A big-scale systematic random sampling of over 10 thousand responses is implemented to test the established model empirically. The survey questionnaire collected demographic information, as well as responses to scales, including the nomophobia, psychological disorders (consisted of perceived stress, depression, and loneliness), and life satisfaction. Our results revealed that smartphone usage positively contributes to the development of nomophobia among college students. Noticeably, the relationship between nomophobia and life satisfaction is mediated by psychological disorders. This study offers a flexible reference to understand the occurrence of smartphone usage-related adverse effects through internalization, therefore facilitating future studies designed to discover more comprehensive effecting mechanisms of IS use

How does Nomophobia Exert Impact on Life Satisfaction? Exploring the Mediating Effect of Psychological Wellbeing and Academic Performance

Several studies have highlighted the adverse consequences of information system (IS) overuse. To expand the knowledge on this heated topic, this paper aims among the first to explore the association between nomophobia, a manifestation of smartphone excessive use, and life satisfaction mediated by psychological wellbeing, as well as academic performance. On the other hand, this paper also targets the reverse procedure, namely if life satisfaction mediated by both psychological wellbeing and academic performance prompts nomophobia. To empirically test the established model, a big-scale systematic random sampling over 10 thousand responses is plan to implement. The survey questionnaire collected demographic information and actual grade-point average (GPAs), as well as responses to scales including the nomophobia, psychological wellbeing (consisted of perceived stress, depression, and loneliness), and life satisfaction

(6,6′-Dimeth­oxy­biphenyl-2,2′-di­yl)bis(diphenyl­phosphane) P,P′-dioxide dihydrate

In the title compound, C38H32O4P2·2H2O, the dihedral angle between the meth­oxy­phenol rings is 84.11 (7)°. O—H⋯O hydrogen bonds connect the water mol­ecules of crystallization with the main mol­ecule

How Do Customers Respond to Robotic Service? A Scenario-Based Study from the Perspective of Uncertainty Reduction Theory

Confronted with an increasing popularization and advancement of applying artificial intelligence in robotic technology, practitioners in the service sector have been increasingly deploying service robots in their operations. Motivated by a paucity of knowledge on how consumers would respond to the robotic service, this study establishes on the uncertainty reduction theory to advance a research model that seeks to unveil how both customer trait and service characteristic affect customers\u27 revisit intention to robotic service via perceived risk. Based on a scenario-based experiment with 190 responses in the hotel reception service context, our results reveal that perceived risk partially mediates the relationship between personal innovativeness and service revisit intention, so does between service heterogeneity and revisit intention. Furthermore, the service context, i.e., whether the prior service experience satisfies the customer, can moderate the relationship between personal innovativeness (service heterogeneity) and perceived risk. This study also draws related theoretical and practical implications

Energy-Efficient Non-Orthogonal Transmission under Reliability and Finite Blocklength Constraints

This paper investigates an energy-efficient non-orthogonal transmission design problem for two downlink receivers that have strict reliability and finite blocklength (latency) constraints. The Shannon capacity formula widely used in traditional designs needs the assumption of infinite blocklength and thus is no longer appropriate. We adopt the newly finite blocklength coding capacity formula for explicitly specifying the trade-off between reliability and code blocklength. However, conventional successive interference cancellation (SIC) may become infeasible due to heterogeneous blocklengths. We thus consider several scenarios with different channel conditions and with/without SIC. By carefully examining the problem structure, we present in closed-form the optimal power and code blocklength for energy-efficient transmissions. Simulation results provide interesting insights into conditions for which non-orthogonal transmission is more energy efficient than the orthogonal transmission such as TDMA.Comment: accepted by IEEE GlobeCom workshop on URLLC, 201

Examining Applicability of Uncanny Valley Hypothesis: A Large-Scale Study

Despite a growing interest in applying the uncanny valley hypothesis (UVH) in IS studies, there is a paucity of knowledge on the applicability of UVH and its strength. By summarizing a set of attitudinal variables popularized in the extant IS literature on AI robots, this study examined the strength and applicability of UVH on a large, objectively chosen sample of 80 real-world robots face against these variables. We demonstrate that while robot anthropomorphism does affect users’ attitudes toward the robot, its effects do not necessarily follow a UV pattern, and it has a very limited explanatory power toward users’ attitudinal responses. In addition, robot anthropomorphism has a much stronger linear-like association with a perceived social presence than with the commonly used response variable of perceived likability. Our results offer insights into understanding the applicability and strength of the uncanny valley effect and the impacts of robot anthropomorphism on users’ perceptions

Bedtime smartphone use and academic performance : A longitudinal analysis from the stressor-strain-outcome perspective

The penetration of smartphones into human life finds expression in problematic smartphone use, particularly under the Covid-19 home confinement. Problematic smartphone use is accompanied by adverse impacts on personal wellbeing and individual performance. However, little is known about the mechanism of such adverse impacts. Motivated by this, the present study strives to answer (i) how bedtime smartphone use impacts students’ academic performance through wellbeing-related strains; (ii) how to mitigate the adverse consequences of bedtime smartphone use. Drawing upon the stressor-strain-outcome paradigm, the current work presents a comprehensive understanding of how smartphone use indirectly deteriorates college students’ academic performance through the mediators of nomophobia — “the fear of being unavailable to mobile phones” (Lin et al., 2021) — and sleep deprivation. This allows a more flexible remedy to alleviate the adverse consequences of smartphone use instead of simply limiting using smartphones. This study collects a two-year longitudinal dataset of 6093 college students and employs the structural equation modeling technique to examine the stressor‐strain‐outcome relationship among bedtime smartphone use, nomophobia, sleep deprivation, and academic performance. This study finds robust evidence that wellbeing-related strains (i.e., nomophobia and sleep deprivation) mediate the negative relationship between bedtime smartphone use and academic performance. Furthermore, engaging in physical activity effectively mitigates the adverse effects of bedtime smartphone use upon nomophobia and sleep deprivation. This study not only enriches the current literature regarding the indirect effect mechanism of smartphone use but also provides valuable insights for academics and educational policymakers