Exploring Variables That Affect Robot Likeability

Zhong, Vivienne Jia; Murset, Nicolas; Jäger, Janine; Schmiedel, Theresa

doi:10.1109/hri53351.2022.9889602

Cited by 5 publications

(1 citation statement)

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“…It is therefore important to consider the entire robot to identify potential communicative cues that might shape the interaction and the primary message that is intended to be transferred to the human counterpart. Zhong et al [43], for example, aimed to investigate whether voice determines robot likeability. For this purpose, they had participants evaluate two distinct robots (Pepper by Softbank Robotics, Joey by Jinn-Bot Robotics & Design).…”

Section: The Source or The "Who" In Hrimentioning

confidence: 99%

A Framework to Study and Design Communication with Social Robots

Kunold

Onnasch

2022

Robotics

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Communication is a central component in social human–robot interaction that needs to be planned and designed prior to the actual communicative act. We therefore propose a pragmatic, linear view of communication design for social robots that corresponds to a sender–receiver perspective. Our framework is based on Lasswell’s 5Ws of mass communication: Who, says what, in which channel, to whom, with what effect. We extend and adapt this model to communication in HRI. In addition, we point out that, besides the predefined communicative acts of a robot, other characteristics, such as a robot’s morphology, can also have an impact on humans, since humans tend to assign meaning to every cue in robots’ behavior and appearance. We illustrate the application of the extended framework to three different studies on human–robot communication to demonstrate the incremental value as it supports a systematic evaluation and the identification of similarities, differences, and research gaps. The framework therefore offers the opportunity for meta-analyses of existing research and additionally draws the path for future robust research designs for studying human–robot communication.

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Section: The Source or The "Who" In Hrimentioning

confidence: 99%