‹
Back
11:00 - 12:30
Parallel sessions 2
›
11:00 - 12:30
Room: HSZ - N2
Chair/s:
Nadia Said
The introduction of new technologies has always shaped societies. Artificial intelligence (AI) applications, especially AI chatbots, are already part of everyday human life. Robots – for example in healthcare but also in other service areas – are also becoming more and more common. Generally, perceptions of these new technologies are mixed. Whereas some of them are widely accepted (e.g., use of generative AI tools like ChatGPT or DeepL), others are highly controversial (e.g., use of AI in classrooms or robots as companions in elderly homes). This raises the question of which factors influence human perceptions of and ultimately human interaction with AI and robots? The aim of this symposium is to present novel insights into human-AI and human-robot interaction by taking three different perspectives: (i) how far do social perceptions also extend to robots and how does this influence the interaction with robots?, (ii) what factors shape humans’ interaction with generative AI tools and how does such an interaction impact them?, (iii) do people differ in their perception of AI and robots? To provide answers to these questions, the first talk investigates the perception of robots as social actors. More specifically, the talk focuses on how similar robots are perceived to be, for example, to human partners. The second talk then tackles the question whether established social heuristics (such as the bystander effect) govern human behavior toward robots. Moving from embodied artificial actors to generative AI tools, the third talk focuses on the influence of external factors (explainability, content, culture) on the perception of an AI chatbot. The fourth talk investigates factors influencing the choice to use generative AI as a cognitive offloading tool and its consequences for human memory and performance. In the final talk, the question of whether Artificial Intelligence and robots are perceived differently is discussed. Jointly, these talks provide a broad overview of human-AI and human-robot interaction by examining the topic from different perspectives.
Submission 264
The Bystander Effect in Human-Robot Interaction: How the Presence of Bystanders Inhibits Help for a Social Robot
SymposiumTalk-02
Presented by: Guiying Liu
Guiying Liu 1, Tatjana Korbanka 1, Jasmin Timm 1, Naomi Veit 1, Laura Maier 1, Markus Huff 1, 2, Frank Papenmeier 1
1 Department of Psychology, University of Tübingen, Germany
2 Leibniz-Institut für Wissensmedien, Tübingen, Germany
As humans and social robots increasingly coexist, a crucial question remains: Do established social heuristics (such as the bystander effect) govern human behavior toward robots? Through two pre-registered experiments (N = 401 and N = 616), we demonstrate that the presence of bystanders consistently inhibits helping behavior toward robots in human-robot interaction (HRI), mirroring classic findings in human-human interaction. In Experiment 1, we found that when bystanders were present, individuals were less likely to help a social robot in need than if they were alone. In Experiment 2, we used video stimuli with higher ecological validity and incorporated a human victim as a control group, generalizing this effect and revealing its robust stability. While the presence of bystanders generally inhibited helping intentions (regardless of whether the victim was human or robot), the strength of the bystander effect did not differ between human and robot victims. These findings provide the first empirical evidence that the bystander effect can be replicated in human-robot interaction (HRI). Our work contributes to the extension of the application boundaries of the bystander effect and the construction of a harmonious human-robot symbiotic society.