| Title: |
Assessment of Working Dog Suitability from Quantimetric Data |
| Authors: |
Alcaidinho, Joelle; Valentin, Giancarlo; Yoder, Nate; Tai, Stephanie; Mundell, Paul; Jackson, Melody Moore |
| Contributors: |
Georgia Institute of Technology. School of Interactive Computing; Georgia Institute of Technology. Animal Computer Interaction (ACI) Lab; Whistle Labs, Inc. San Fransisco, CA; Canine Companions. Santa Rosa, CA |
| Publisher Information: |
Georgia Institute of Technology |
| Publication Year: |
2014 |
| Collection: |
Georgia Institute of Technology: SMARTech - Scholarly Materials and Research at Georgia Tech |
| Subject Terms: |
Animal-computer interaction; Quantimetrics; Working dog |
| Description: |
Copyright © ACM ; We propose new approaches to assessing the suitability of potential working dogs for a given occupation. The main focus is placed on continuously-recording technology that does not rely on constant human observation. An example is provided in the form of a pilot study relying on activity and human-proximity data collected from dogs both prior to and during advanced training at Canine Companions for Independence. We conclude by noting other technologies that could also be used to achieve this purpose. |
| Document Type: |
conference object |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
https://hdl.handle.net/1853/52812 |
| Availability: |
https://hdl.handle.net/1853/52812 |
| Accession Number: |
edsbas.861CBC8D |
| Database: |
BASE |