Human-Robot Interaction and Collaboration
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Item How Robotic Process Automation Helps Employees Attain Work-Life Balance(2025-01-07) Noordeen, AbdulThis study explores how Robotic Process Automation (RPA) enhances life satisfaction (LS) for lower-level employees by automating repetitive tasks in business processes like expense management and customer relationship management. By freeing employees from mundane tasks, RPA allows them to engage in more creative work, potentially improving work-life balance (WLB) and overall well-being. The paper reviews the literature on WLB and RPA perceptions across different demographics, identifying a research gap in how RPA's impact on LS varies with factors like age, gender, and culture. It utilizes Nam’s (2014) theory of work-life balance and Shao & Li’s (2022) extended adaptive structuration theory, which examines adaptation to technology through the interplay of technology, individual characteristics, and job features. By proposing a conceptual model that links job eustress and perceived workload with LS through RPA, the research aims to offer insights into tailoring RPA implementations to diverse employee demographics to maximize LS leading WLB.Item Enhanced Human-Robot Teaming Through Attention Multi Convolutional Neural Network-Based Multi-Modal Sensor Fusion for Hand Gesture Recognition and Orientation Control(2025-01-07) Gonsholt, Alf Stian Sundo; Greca, Eivind Enea; Haddad, Mustapha; Zafar, Muhammad Hamza; Sanfilippo, FilippoOur study aims at enhancing Human-Robot Interaction, Collaboration, and Teaming (HRI/C/T) in industrial automation by developing a novel framework for real-time gesture control of a robotic hand. We use an Inertial Measurement Unit (IMU) sensor for precise orientation control of the end effector, and surface Electromyography (sEMG) sensors to detect muscle movements. The sEMG signals are processed by an Attention-based Multi Convolutional Neural Network (A-MCNN) for accurate gesture detection, enabling the robotic hand to mimic these gestures in real-time. Our method achieves notable results for gesture recognition, with the A-MCNN model attaining an accuracy of 97.89%, a precision of 97.49%, a recall of 97.71%, and an F1 score of 97.65%. This integration of IMU and sEMG technologies with advanced neural networks creates a responsive and intuitive control mechanism, improving safety, usability, and interaction of collaborative robots in shared workspaces. Our approach aims to transition towards Human-Robot Teaming (HRT), significantly advancing the seamless and safe integration of robots in industrial environments, enhancing productivity and collaboration.Item Interaction Context is Key: A Meta-Analysis of Experimental Evidence on Interventions against Algorithm Aversion(2025-01-07) Capogrosso, Andrea; Treffers, Theresa; Welpe, IsabellAlgorithm aversion is a barrier to the adoption of advanced technologies, and individuals prefer human judgement over superior algorithmic decisions in certain contexts. Previous literature has looked at various interventions against algorithm aversion, but all studies have been domain specific. Therefore, this study investigates whether experimentally tested interventions are effective across various domains. We conducted a meta-analysis of 32 experimental studies with 89 effect sizes, demonstrating that these aggregated interventions significantly reduce algorithm aversion (overall effect size=0.23). In line with current research, we split the analysis into human, algorithm and context-specific subsamples and find that modifying the interaction environment shows the highest effectiveness (g=0.55) in overcoming algorithm aversion. Future research should test the intervention approaches identified here as most promising, such as providing information about how many other people found the algorithm useful, or simply framing the task in a more objective way to reduce bias against algorithms.Item Working with a Service Robot – Case “Kalle” the Robot in Hotel Hanaholmen(2025-01-07) Turunen, Emmi; Tuunainen, Virpi; Liu, YongThis study employs a case study approach and qualitative methods to explore performance outcomes and factors influencing the effectiveness of service robots in room-service delivery. Conducting 22 interviews with employees of Hotel Hanaholmen that experimented with a service robot, we identified key subjective and taskwork outcomes of human-robot collaboration. The study links task-technology fit with performance impacts in human-robot interactions, enhancing the literature on service robots by offering qualitative insights and understanding employee reactions to working with these robots. Practically, it provides valuable insights for integrating service robots, emphasizing feasibility requirements for optimal use.Item Perceptions of Moral Patiency Across Social Robot Morphologies(2025-01-07) Banks, JaimeEvidence indicates humans can see robots as moral patients—entities worthy of moral consideration. Although there is evidence that related considerations (e.g., empathy, mentalizing) vary across robot shapes, it is not yet understood whether the perception of moral patiency (PMP, a social-moral status ascription) may differ across robot morphologies. This paper reports a content-analytic secondary analysis of elicited stories (N = 1,395 by 465 respondents; Banks, 2021) about how humans may treat social robots morally or immorally across 36 forms of PMP. Results indicate that the presence of PMP is largely non-different across anthropomorphic, zoomorphic, and mechanomorphic robots. The exception is the Liberty-related notion of ceding resources to the robot (most likely for zoomorphic, though likely a matter of distancing oneself from the stimulus spider-shaped robot) and the Liberty-related notion of making robots free-by-design (most likely for anthropomorphic robots, potentially a matter of transferring valued states to a self-similar machine).Item Introduction to the Minitrack on Human-Robot Interaction and Collaboration(2025-01-07) Sanfilippo, Filippo; Robert, Lionel; Esterwood, Connor; You, Sangseok