Designing an API at an appropriate abstraction level for programming social robot applications. (April 2017)

• Record Type: Journal Article
• Authors: Diprose, James; MacDonald, Bruce; Hosking, John; Plimmer, Beryl
• Is Part Of: Journal of visual languages & computing. Volume 39(2017)
• Page Start: 22
• Page End: 40
• Publication Date: 2017-04
• Subjects: Application programming interfaces -- API -- Usability -- Design -- Cognitive dimensions -- Human robot interaction -- Social robot interaction -- Humanoid robot; Visual programming languages (Computer science) -- Periodicals; Visual programming (Computer science) -- Periodicals; Programming languages (Electronic computers) -- Semantics -- Periodicals; Langages de programmation visuelle -- Périodiques; Programmation visuelle -- Périodiques; Langages de programmation -- Sémantique -- Périodiques; Programming languages (Electronic computers) -- Semantics; Visual programming (Computer science); Visual programming languages (Computer science); Periodicals; Electronic journals; 005
• DOI: 10.1016/j.jvlc.2016.07.005
• Languages: English
• ISSNs: 1045-926X

Abstract

Abstract: Whilst robots are increasingly being deployed as social agents, it is still difficult to program them to interact socially. To create usable tools for programming these robots, tool developers need to know what abstraction levels are appropriate for programming social robot applications. We explore this through the iterative design and evaluation of an API for programming social robots. The results show that high level primitives, with a close mapping to social interaction, are suitable for programming social robot applications. However, the abstraction level should not be so high that it takes away too much control from programmers. This has the potential to enable programmers to produce high quality social robot applications with less programming effort. Abstract : Highlights: We seek abstraction levels appropriate for programming social robot applications. High level primitives with a close mapping to social interaction are appropriate. But the abstraction level should not be so high that it takes away too much control. Benefits: a close mapping, high abstraction level and high local visibility. Negative effect: low remote visibility, making progressive evaluation harder.