Three Alternatives to Measure the Human-Likeness of a Handshake Model in a Turing-like Test

Nisky, Ilana; Avraham, Guy; Karniel, Amir

doi:10.1162/pres_a_00097

Cited by 11 publications

(14 citation statements)

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“…They develop a Model Human-Likeness Grade (MHLG) which measure how human-like the motions are from the participants' feedback. Nisky et al [58] extend this to three different versions of the test. The first is a computer vs human test, where the participant is presented wither with a purely algorithmic handshake or a purely human handshake.…”

Section: Miscellaneous Shaking Systemsmentioning

confidence: 95%

“…This is based on the perceived probability by a participant of the model being a human shaking the stylus or the algorithm. Nisky et al [58] propose different ways to perform this Turing test for motor intelligence. There are described in further detail in Sect.…”

Section: Handshake Evaluation Methodsmentioning

confidence: 99%

“…The mean duration of handshakes was 2.2 s with 24.8 N as the mean sum of forces measured on the robot hand exerted Jouaiti et al [39] Chua et al [18] Avraham et al [9] Kasuga and Hashimoto [41] Dai et al [19] Karniel et al [40] Melnyk et al [3], Melnyk and Henaff [46] Mura et al [51] Nisky et al [58] Papageorgio and Doulgeri [65] W a n g e t a l . [ 86,87] Pedemonte et al [67] Sato et al [71] Yamato et al [89] Zeng et al [91] by the humans.…”

Section: Controlling Hand Grasps In Handshakingmentioning

confidence: 99%

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Human-Robot Handshaking: A Review

Prasad

Stock‐Homburg

Peters

2021

Int J of Soc Robotics

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For some years now, the use of social, anthropomorphic robots in various situations has been on the rise. These are robots developed to interact with humans and are equipped with corresponding extremities. They already support human users in various industries, such as retail, gastronomy, hotels, education and healthcare. During such Human-Robot Interaction (HRI) scenarios, physical touch plays a central role in the various applications of social robots as interactive non-verbal behaviour is a key factor in making the interaction more natural. Shaking hands is a simple, natural interaction used commonly in many social contexts and is seen as a symbol of greeting, farewell and congratulations. In this paper, we take a look at the existing state of Human-Robot Handshaking research, categorise the works based on their focus areas, draw out the major findings of these areas while analysing their pitfalls. We mainly see that some form of synchronisation exists during the different phases of the interaction. In addition to this, we also find that additional factors like gaze, voice facial expressions etc. can affect the perception of a robotic handshake and that internal factors like personality and mood can affect the way in which handshaking behaviours are executed by humans. Based on the findings and insights, we finally discuss possible ways forward for research on such physically interactive behaviours.

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Section: Miscellaneous Shaking Systemsmentioning

confidence: 95%

Section: Handshake Evaluation Methodsmentioning

confidence: 99%

Section: Controlling Hand Grasps In Handshakingmentioning

confidence: 99%

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Human-Robot Handshaking: A Review

Prasad

Stock‐Homburg

Peters

2021

Int J of Soc Robotics

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“…In this respect, it may be more crucial that humanoids behave in a human-like manner, rather than they resemble humans. Thus, Nisky et al (2012) proposed a Turing-like test for assessing alternative styles of handshake performed by a machine. The test is administered through a telerobotic system in which an interrogator holds a robotic stylus and interacts with another party, human or artificial.…”

Section: Introductionmentioning

confidence: 99%

How long did it last? You would better ask a human

et al. 2014

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In the future, human-like robots will live among people to provide company and help carrying out tasks in cooperation with humans. These interactions require that robots understand not only human actions, but also the way in which we perceive the world. Human perception heavily relies on the time dimension, especially when it comes to processing visual motion. Critically, human time perception for dynamic events is often inaccurate. Robots interacting with humans may want to see the world and tell time the way humans do: if so, they must incorporate human-like fallacy. Observers asked to judge the duration of brief scenes are prone to errors: perceived duration often does not match the physical duration of the event. Several kinds of temporal distortions have been described in the specialized literature. Here we review the topic with a special emphasis on our work dealing with time perception of animate actors versus inanimate actors. This work shows the existence of specialized time bases for different categories of targets. The time base used by the human brain to process visual motion appears to be calibrated against the specific predictions regarding the motion of human figures in case of animate motion, while it can be calibrated against the predictions of motion of passive objects in case of inanimate motion. Human perception of time appears to be strictly linked with the mechanisms used to control movements. Thus, neural time can be entrained by external cues in a similar manner for both perceptual judgments of elapsed time and in motor control tasks. One possible strategy could be to implement in humanoids a unique architecture for dealing with time, which would apply the same specialized mechanisms to both perception and action, similarly to humans. This shared implementation might render the humanoids more acceptable to humans, thus facilitating reciprocal interactions.

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“…Though the models for a handshake are well thought, they would need to be redefined when transferred to a more complex telerobotic interface. Moreover, all models concentrate on just the shaking movement during a handshake and ignore other aspects, like the reaching and grasping of the hand, etc., as they are limited with a simple haptic interface [1,[3][4][5]8]. Evaluating the human-likeness of a handshake on a more complex android robot yields different challenges.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Handshake Turing Test for anthropomorphic Robots

Stock‐Homburg

Peters

Schneider

et al. 2020

Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction

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Handshakes are fundamental and common greeting and parting gestures among humans. They are important in shaping first impressions as people tend to associate character traits with a person's handshake. To widen the social acceptability of robots and make a lasting first impression, a good handshaking ability is an important skill for social robots. Therefore, to test the human-likeness of a robot handshake, we propose an initial Turing-like test, primarily for the hardware interface to future AI agents. We evaluate the test on an android robot's hand to determine if it can pass for a human hand. This is an important aspect of Turing tests for motor intelligence where humans have to interact with a physical device rather than a virtual one. We also propose some modifications to the definition of a Turing test for such scenarios taking into account that a human needs to interact with a physical medium.

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Three Alternatives to Measure the Human-Likeness of a Handshake Model in a Turing-like Test

Cited by 11 publications

References 69 publications

Human-Robot Handshaking: A Review

Human-Robot Handshaking: A Review

How long did it last? You would better ask a human

Evaluation of the Handshake Turing Test for anthropomorphic Robots

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