Human-Drone-Interaction: A Case Study to Investigate the Relation Between Autonomy and User Experience
Autonomous robots effectively support the human workforce in a variety of industries such as logistics or health care. With an increasing level of system autonomy humans normally have to give up control and rely on the system to react appropriately. We wa
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Image-based Biomedical Modeling Group, Technical University of Munich (TUM), Munich, Germany {patrick.christ,bjoern.menze}@tum.de Chair for Human-Computer-Interaction, University of Munich (LMU), Munich, Germany {florian.lachner,butz}@ifi.lmu.de 3 Center for Digital and Technology Management, TUM and LMU, Munich, Germany [email protected], {christ,lachner}@cdtm.de 4 Department Electrical and Computer Engineering, Technical University of Munich (TUM), Munich, Germany [email protected]
Abstract. Autonomous robots effectively support the human workforce in a variety of industries such as logistics or health care. With an increasing level of system autonomy humans normally have to give up control and rely on the system to react appropriately. We wanted to investigate the effects of different levels of autonomy on the User Experience (UX) and ran a case study involving autonomous flying drones. In a student competition, four teams developed four drone prototypes with varying levels of autonomy. We evaluated the resulting UX in 24 semi-structured interviews in a setting with high perceived workload (competition, autonomous vs. manual) and a non-competition setting (autonomous). The case study showed that the level of autonomy has various influences on UX, particularly in situations with high perceived workload. Based on our findings, we derive recommendations for the UX-oriented development of autonomous drones. Keywords: Human-robot interaction · Drones · Assistive technologies · User experience
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Introduction
With an increasing technical reliability of autonomous systems, more and more human responsibilities are carried out by machines. The increasing level of autonomy shall increase the efficiency and the safety and shall simultaneously decrease P.F. Christ and F. Lachner contributed equally. c Springer International Publishing Switzerland 2016 G. Hua and H. J´ egou (Eds.): ECCV 2016 Workshops, Part II, LNCS 9914, pp. 238–253, 2016. DOI: 10.1007/978-3-319-48881-3 17
Human-Drone-Interaction
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Fig. 1. Levels of autonomy of the team’s drone prototypes using a checkerboard (1), a light source (2), a human face (3), and a floor marking (4) as control unit.
the human workload [1]. Traditionally, the design of autonomous systems focuses on the technical implementation aspects, especially technology-heavy disciplines such as computer vision and robotics, ranging from the system’s functionality to associated sensors and software [2]. Previous research in the field of human-robot interaction, such as [3–6], already intensively analyzes the utility of computer vision technology for autonomous drones. However, these projects do not focus on the experience of interacting with vision-based drones. In this paper, we want to take this thought further and investigate the relation between autonomy and User Experience (UX) under different levels of perceived workload. We see this consideration as a key issue in the success of future assistive technologies. To create different levels of perceived workload, we chose to conduct a case stu
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