Responsible Automation: Exploring Potentials and Losses Through Automation in Human-Computer Interaction from a Psychological Perspective. (Study 1 and Study 2)

Citation: Diefenbach, Sarah and Ullrich, Daniel and Lindermayer, Tim and Isaksen, Kaja-Lena: Responsible Automation: Exploring Potentials and Losses Through Automation in Human-Computer Interaction from a Psychological Perspective. (Study 1 and Study 2). 29. July 2024. Open Data LMU. 10.5282/ubm/data.514

Abstract

Robots and smart technologies become part of everyday life and private households. While this automation of mundane tasks typically creates pragmatic benefits (e.g., efficiency, accuracy, time savings), it may also come with psychological losses, such as in meaning, competence, or re-sponsibility. Depending on the domain (e.g., AI-assisted surgery, automated decision making), especially the user's felt responsibility could have far-reaching consequences. The present re-search systematically explores such effects, building a more structured base for responsible au-tomation in Human-Computer Interaction (HCI). Based on a framework of seven dimensions, study 1 (N=122) evaluates users' reflections on automating five mundane tasks (e.g., gardening, paperwork) and identifies reasons for or against automation in different domains (e.g., creativi-ty, care work, decision making). Study 2 (N=57) provides deeper insights into effects of automa-tion on responsibility perceptions. Based on the example of a vacuum cleaner robot, an experi-mental laboratory study contrasted a non-robotic manual vacuum cleaner to a robot, whereby the user's perceptions of device agency (higher for the robot) and own competence (higher for the manual device) were central mediator for the perceived responsibility for the result. We po-sition our findings as part of a broader idea of responsible design and automation from a us-er-centered design perspective. Data to: Diefenbach, S., Ullrich, D., Lindermayer, T., & Isaksen, K.-L. (2024). Responsible Automation: Exploring Potentials and Losses through Automation in Human–Computer Interaction from a Psychological Perspective. Information, 15(8), 460. doi:10.3390/info15080460

• Item Type: Data
• Contact Person: Diefenbach, Sarah
• E-Mail of Contact: sarah.diefenbach at psy.lmu.de
• Subjects: Psychology and Educational Sciences; Mathematics, Computer Science and Statistics
• Dewey Decimal Classification: 000 Computers, Information and General Reference > 004 Data processing computer science; 100 Philosophy and Psychology > 150 Psychology