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dc.contributor.authorNorth, S
dc.date.accessioned2018-12-04T13:05:44Z
dc.date.issued2018-12-07
dc.description.abstractIn this descriptive paper, the author reports developing a set of prototype, programmable animatronic, robotic horse ears. Applications are: (i) when worn by a human, to explore interaction between horses and humans, using (technologically enhanced) body language and (ii) when used stand-alone, as a potential robotic companion for solo, stressed or recuperating horses. This work compliments literature on horses’ use of ear-based attentional cues and their understanding of human facial expressions. The ears have: user-triggered movements (when worn by a human) and random movements when there is no user input. Also proposed: a path to modelling the personalities and moods of real, individual horses, using an ethogram for logging horse ear movement characteristics. Configurable code profiles are built from these observations, customising the random movements of the ears. This work suggests possibilities for studying a horse’s response to experiencing her own ear movement characteristics reflected back at her, via technology.en_GB
dc.identifier.citationACI 2018: Fifth International Conference on Animal-Computer Interaction, 4-6 December 2018, Atlanta, Georgia, USAen_GB
dc.identifier.doi10.1145/3295598.3295606
dc.identifier.urihttp://hdl.handle.net/10871/34984
dc.language.isoenen_GB
dc.publisherACM (Association for Computing Machinery)en_GB
dc.rights© 2018 ACMen_GB
dc.subjectEASEen_GB
dc.subjectExeter Anthrozoology as Symbiotic Ethicsen_GB
dc.subjectanthrozoologyen_GB
dc.subjectacien_GB
dc.subjectanimal-computer interactionen_GB
dc.subjectanimal-robot interactionen_GB
dc.subjectanimatronicsen_GB
dc.subjecthorseen_GB
dc.subjecthorse-computer interactionen_GB
dc.subjecthuman-animal interactionen_GB
dc.subjectrobotic earsen_GB
dc.subjectroboticsen_GB
dc.subjectumamimien_GB
dc.titleUmamimi robotic horse ears – using configurable code profiles to replicate individuality in equine animatronicsen_GB
dc.typeConference paperen_GB
dc.date.available2018-12-04T13:05:44Z
exeter.place-of-publicationNew York, NY, USAen_GB
dc.descriptionThis is the author accepted manuscript. The final version is available from ACM via the DOI in this recorden_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
pubs.funder-ackownledgementNoen_GB
dcterms.dateAccepted2018-08-01
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2018-12-07
rioxxterms.typeConference Paper/Proceeding/Abstracten_GB
refterms.dateFCD2018-12-03T12:38:24Z
refterms.versionFCDAM
refterms.dateFOA2018-12-04T13:05:46Z
refterms.panelCen_GB


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