Emergence of technostress among employees working with physical robots

Despite the growing body of literature on technostress, there is limited knowledge about the emergence of technostress among people working with physical robots. In this paper, we aim to address this research gap by exploring how technostress emerges among employees working with physical robots. The study was based on qualitative online questionnaire responses from 199 present or previous users of robots at work. Based on our data, we identified several robot-related environmental conditions that contributed to perceived work-related stress. In addition, we identified personal and situational factors that influenced perceived stress. Our findings reveal that the emergence of technostress among employees working with physical robots has distinct characteristics, and that the technostressors identified in previous studies are insufficient for explaining stress in this context. Therefore, our study extends the technostress literature and provides insights into employees’ experiences in organizations that use physical robots

What Makes a (Ro)bot Smart? Examining the Antecedents of Perceived Intelligence in the Context of Using Physical Robots, Software Robots, and Chatbots at Work

In recent years, the acceptance and use of intelligent robots and other kinds of intelligent systems have begun to gain more and more attention also in information systems research. Here, many studies have found the perceived intelligence of robots to act as one critical antecedent for their acceptance and use, but few studies have focused on the antecedents of perceived intelligence itself. In this study, we aimed to address this gap in prior research by examining the effects of individual intelligence dimensions on the overall intelligence perception of robots in the work context. In addition, we also examined the potential differences in these effects as well as in the individual intelligence dimensions and overall intelligence perception themselves between three common types of robots: physical robots, software robots, and chatbots. These examinations were based on online survey data from 1,080 present or prior users of robots at work. In summary, we found that adaptability, personality, autonomy, and multifunctionality act as the most influential antecedents of perceived intelligence in the case of all three types of robots. In addition, we also found that software robots and chatbots perform better than physical robots in most individual intelligence dimensions and in overall intelligence perception

The equity of opportunities in emerging service work robotization

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Robostress, a New Approach to Understanding Robot Usage, Technology, and Stress

Robostress is a user's perceived or measured stress in relation to the use of interactive physical robots. It is an offshoot from technostress where a user perceives experience of stress when using technologies. We explored robostress and the related variables. The methods consisted of a cross-sectional survey conducted in Finland, Qatar and Japan among university students and staff members (n�=�60). The survey data was analyzed with descriptive statistics and a Pearson Correlation Test. The results presented that people perceived stress when or if using the robots and the concept of robostress exists. The reasons for robostress were lack of time and technical knowledge, but the experience of technical devices and applications mitigate robostress. - 2019, Springer Nature Switzerland AG.Scopu