Robots in the City: Persona-Based Perceptions of Urban Robots
Overview
This research examines how the presence and type of robots affect perceived safety in urban environments.
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Event evidence and corrections
0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Reported quantity · images: 18 other · Basis not reported
“arXiv:2611.05954v1 Announce Type: cross Abstract: Pedestrians increasingly encounter robots in urban public spaces without interacting with them, but how robots change the perceived safety of a street remains unclear. We examine how robot presence and type affect perceived safety across urban contexts. We generate 18 images of Seoul streets that vary in time of day, road class, and robot condition (no robot, a delive”
Exact source · revision 1Source owner not reported
Reported quantity · personas: 500 other · Basis not reported
“ry robot, or a humanoid). Two multimodal large language models (MLLMs), Qwen3.8-27B and Gemma4-26B, each conditioned on 500 synthetic personas, choose the safer image in each pair, and 25 human respondents complete the same task. Both models prefer streets without robots and favor the delivery robot over the humanoid. Robots are chosen more often at night and less often by older personas, whereas road class has small”
Exact source · revision 1Source owner not reported
Reported quantity · human respondents: 25 other · Basis not reported
“ry robot, or a humanoid). Two multimodal large language models (MLLMs), Qwen3.8-27B and Gemma4-26B, each conditioned on 500 synthetic personas, choose the safer image in each pair, and 25 human respondents complete the same task. Both models prefer streets without robots and favor the delivery robot over the humanoid. Robots are chosen more often at night and less often by older personas, whereas road class has small”
Exact source · revision 1Source owner not reported
Reported quantity · models: 2 other · Basis not reported
“ry robot, or a humanoid). Two multimodal large language models (MLLMs), Qwen3.8-27B and Gemma4-26B, each conditioned on 500 synthetic personas, choose the safer image in each pair, and 25 human respondents complete the same task. Both models prefer streets without robots and favor the delivery robot over the humanoid. Robots are chosen more often at night and less often by older personas, whereas road class has small”
Exact source · revision 1Source owner not reported
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- arXiv Robotics — research abstractsSignalRobots in the City: Persona-Based Perceptions of Urban Robots
This research examines how the presence and type of robots affect perceived safety in urban environments.
Event coverage history
Current attention 3·Peak within the comparable range 3（2026-11-07 01:00 UTC）·Change within the comparable range over 24 hours –
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