What is it about?
How can information from social robots be better understood by people? We draw inspiration from different ways animals communicate across different species to present a way to design robot communication to people. We present the basic method and provide examples of how it could be applied to past articles.
Featured Image
Photo by Andy Kelly on Unsplash
Why is it important?
Designing communication from a robot to humans is difficult and there are many things that need to be considered. The method that we present builds on previous work and provides useful points to consider when designing a robot's interaction with a person. You can also use this method to analyze why some interactions are misunderstood.
Perspectives
This article was a nice build-up of previous work from the past couple of years. It was also a chance to write a more theoretical article, which brought up some interesting discussions during the writing. The feedback we got through the review stage strengthened and clarified the points we wanted to make in the article, and I'm pleased with the result.
Trenton Schulz
Norsk Regnesentral
Read the Original
This page is a summary of: Communicative Robot Signals, March 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3568162.3578631.
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Resources
Paper presentation
Presentation video for a new typology for classifying signals from robots when communicating with humans. We briefly introduce underlying theories from the study of animal behaviour and use previous efforts from literature to define the typology. We then explain in detail five properties that we use to characterise communicative robot signals: the origin where the signal comes from, the deliberateness of the signal, the signal's reference, the genuineness of the signal, and its clarity (i.e., how implicit or explicit it is). Using an example, we present an accompanying worksheet that we recommend using for examining previous human-robot interactions and when designing new robot behaviours.
Open Access Paper
We present a new typology for classifying signals from robots when they communicate with humans. For inspiration, we use ethology, the study of animal behaviour and previous efforts from literature as guides in defining the typology. The typology is based on communicative signals that consist of five properties: the origin where the signal comes from, the deliberateness of the signal, the signal's reference, the genuineness of the signal, and its clarity (i.e., how implicit or explicit it is). Using the accompanying worksheet, the typology is straightforward to use to examine communicative signals from previous human-robot interactions and provides guidance for designers to use the typology when designing new robot behaviours.
Contributors
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