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Placing Objects on Table Is Preferred over Direct Handovers When Users Are Occupied.

Thieu Long Phan1, Akansel Cosgun1

  • 1School of IT, Deakin University, Melbourne, VIC 3125, Australia.

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Summary

Service robots should default to placing objects on tables, especially when users are busy. This strategy improves user experience, safety, and confidence compared to direct handovers, regardless of user attentiveness.

Keywords:
human–robotinteractionobject handoversservice robots

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Area of Science:

  • Human-Robot Interaction
  • Service Robotics
  • User Experience Research

Background:

  • Service robots often use direct handovers for object delivery, assuming user attention.
  • Real-world scenarios frequently involve users being occupied with other tasks, complicating direct handovers.

Purpose of the Study:

  • To investigate user preferences between direct handovers and table placement for service robot object delivery.
  • To determine how user attentiveness influences the preferred delivery strategy.

Main Methods:

  • A user study with 25 participants was conducted.
  • Participants interacted with a service robot in scenarios with varying attentiveness levels (occupied via typing task vs. unoccupied).
  • User experience was evaluated based on satisfaction, perceived safety, confidence, and intuitiveness.

Main Results:

  • Table placement significantly improved user experience (satisfaction, safety, confidence, intuitiveness) when users were occupied.
  • Direct handovers were preferred over occupied-user handovers but underperformed compared to table placement.
  • Table placement demonstrated consistent high performance across both occupied and unoccupied user states.

Conclusions:

  • Table placement is a superior object delivery strategy for service robots, particularly in environments with variable user attention.
  • Service robots should consider table placement as the default delivery method to enhance user experience and interaction.
  • Findings inform robot design and suggest future research into adaptive object delivery behaviors.