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Tail Wagging the Dog:

Perceptions of Canine vs Non-Canine Behavior in a Quadruped Robot

Ruchi Bhalani, Alekhya Kuchimanchi, Hanaa Siddiqui, Justin Hart

Learning Agents Research Group (LARG)

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Motivation

  • Quadruped robots have recently become available to researchers and developers 1
  • These robots are often referred to as “robot dogs”
  • Can we behaviorally increase the impression of these robots as being canine?

1 https://www.bostondynamics.com/products/spot

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Approach

01

02

03

Determine what constitutes canine-like behavior

Human Survey

Pick out the top responses from the survey to implement on the robot

Analyze

Develop canine body movements on the robot

Body Language

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Approach

04

05

Evaluate robot’s new social behaviors

Human Survey

Determine if behavior is more canine.

Evaluate people’s perceptions of the robot.

Analyze

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Pre-Survey: What constitutes “canine-like”?

  • “What behaviors make dogs seem _______?”

  • Brief video of Boston Dynamics Spot2
  • What behaviors should be added to the Spot robot in order for it to appear more dog-like?
  • 57 voluntary participants recruited on social media

    • Friendly
    • Happy
    • Aggressive
    • Anxious
    • Sad
    • Relaxed

2https://www.youtube.com/watch?v=lwaVAkI5-zk

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Number of Participant Mentions Per Behavior

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Behaviors Implemented

  1. Tail Wagging

The robot tilts to the right, returns to the center, tilts to the left, returns to the center, and continues in a smoothly-interpolated motion

  • Play Bow

Like a dog “bowing” during play, robot tilts body forward

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Behaviors Implemented

3. Sit

Opposite of play bow, robot tilts body backwards

4. Walk in a Circle

Robot follows linearly interpolated waypoints in the shape of a circle

5. Spin

Mimicking chasing a tail

Like walk in circle but robot turns in a circle in place

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Human Survey: “How canine-like does Spot seem?”

  • Survey Questions adapted from Godspeed Questionnaire3

3C. Bartneck, D. Kulic, E. Croft, and S. Zoghbi, “Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots,” International Journal of Social Robotics, vol. 1, pp. 71–81, November 2009.

    • Machinelike vs Doglike
    • Fake vs Natural
    • Unconscious vs Conscious
    • Artificial vs Lifelike
    • Remote controlled vs Autonomous
    • Moving Rigidly vs Moving Elegantly
    • Inert vs Interactive
    • Apathetic vs Responsive
    • Incompetent vs Competent
    • Ignorant vs Knowledgeable
    • Dislike vs Like
    • Unfriendly vs Friendly
    • Unpleasant vs Pleasant
    • Awful vs Nice
  • Participants rated the robot on a 7-Point Likert scale

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Human Survey: “How canine-like does Spot seem?”

  • Two vignettes:
    • Canine condition
    • Non-canine condition
  • Inter-participant
  • Each vignette ran on Speedway with a QR code nearby on two separate days
  • Responses:
    • 112 Canine responses
    • 110 Non-canine responses

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Participants’ Perceptions of the Robot

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Conclusion and Applications

  • The results affirms the effectiveness of the implemented behaviors.

  • Create enriching interactions
  • Increase the acceptance of these robots in their deployments
    • Service dogs
    • Delivery bots
    • Exploratory robots

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Thank You!

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Body Position

Tail Wagging

Play Bow

Sitting

Roll

-π/16 to π/16

0

0

Pitch

0

0 to 3π/14

-π/7 to 0

Yaw

-π/8 to π/8

0

0

Changes in Roll, Pitch, Yaw of Body Positions

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Body Movement

Velocityx (m/s)

Velocity y (m/s)

Rotation Angle (rad)

Trajectory Points

Walk in Circle

2

0

-1.5 to 1.5

12

Spin

0

0

-1 to 1

8

Changes in Velocities and Angles of Body Movements

Walk in circle

Spin

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Human Survey: “How canine-like does Spot seem?”

  • When I encountered the robot I felt “___”
    • Curious
    • Cautious
    • Calm, Nervous
    • Excited
    • Scared
  • I would be comfortable seeing this robot “_____”
    • Walking in the classroom
    • Walking in the library
    • Providing delivery services on campus
    • Providing delivery services to my home, serving food in a restaurant

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Conclusion

  • The addition of canine social body language was significant

  • Second round of testing with descriptions of behavior

  • Develop more motions to demonstrate canine social body language