Devon Martin, Timothy R. N. Holder, Colt Nichols, Jeremy Park, David L. Roberts, A. Bozkurt
{"title":"Comparing Accelerometry and Depth Sensing-Based Computer Vision for Canine Tail Wagging Interpretation","authors":"Devon Martin, Timothy R. N. Holder, Colt Nichols, Jeremy Park, David L. Roberts, A. Bozkurt","doi":"10.1145/3565995.3566025","DOIUrl":"https://doi.org/10.1145/3565995.3566025","url":null,"abstract":"This paper presents a preliminary effort to evaluate alternative sensing modalities for automated, high-resolution tracking of dog tail position and movement as a behavioral communication tool. We compare two different methods: (1) inertial measurement devices placed on dog outfits, and (2) remotely positioned cameras supported with custom vision-based tail wag detection algorithms. The small size and non-invasiveness of the inertial sensors and the non-contact and remote nature of the camera system both promote subject comfort and continuous signal acquisition while not affecting the mechanics of dog tail movement. The preliminary findings support that the higher-resolution and continuous interpretations on the dog tail movements and positions can pave the way for assessing their emotional states and designing more appropriate training and play environments.","PeriodicalId":432998,"journal":{"name":"Proceedings of the Ninth International Conference on Animal-Computer Interaction","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132223978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fernanda Hernández-Luquin, H. Escalante, Luis Villaseñor-Pineda, Verónica Reyes-Meza, Humberto Pérez-Espinosa, Benjamín Gutiérrez-Serafín
{"title":"Dog emotion recognition from images in the wild: DEBIw dataset and first results","authors":"Fernanda Hernández-Luquin, H. Escalante, Luis Villaseñor-Pineda, Verónica Reyes-Meza, Humberto Pérez-Espinosa, Benjamín Gutiérrez-Serafín","doi":"10.1145/3565995.3566041","DOIUrl":"https://doi.org/10.1145/3565995.3566041","url":null,"abstract":"Emotions play a transcendental role in the behavior of dogs. Their emotional response to certain stimuli and situations can be decisive in their actions. Automatic recognition of dog emotions gives ethologists and trainers the ability to monitor dog reactions and help profile them more accurately. On the other hand, providing dog-computer interaction systems with the ability to know the emotional state of the canine user can help improve the objectives of the interaction. This work presents the creation of a new database of images of dogs representing emotions such as (aggression, anxiety, contentment and fear) and a method to classify them automatically. This database consists of 15,599 images downloaded from the Internet directly. Each image was manually labeled by multiple taggers using a web-based interface. Using a variety of state-of-the-art image classification approaches, including an AutoML solution that performed the best (0.67 of the macro average f1 measure), the plausibility of automatic dog emotion recognition was assessed. This is remarkable, given that the input to the classification model is an image downloaded from the Internet without applying any cleaning, segmentation, characterization, or key point marking technique. The proposed methodology can serve as a non-invasive, easy-to-instrument, and easy-to-retrain means for the implementation of dog emotion-aware computational systems. More importantly, the created dataset will allow the in-depth study of this relevant problem. * Both authors contributed equally to this research.","PeriodicalId":432998,"journal":{"name":"Proceedings of the Ninth International Conference on Animal-Computer Interaction","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129716033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Noisy technology, unhappy dogs: where technology might support caregiving in the home","authors":"Jasmine Forester-Owen, D. van der Linden","doi":"10.1145/3565995.3566032","DOIUrl":"https://doi.org/10.1145/3565995.3566032","url":null,"abstract":"While the advance of technology in our homes makes human lives easier, it also presents an ever growing source of sounds that may be confusing for the dogs that share our homes with us. To understand to what extent this may be a challenge, we present the findings of an empirical study (N=104) into the perception of dogs’ reactions to sound-producing technology in the home, and to what extent caregivers seem to have accurate understandings of dog body language. We found that dogs commonly react to any device in the home that produces sound, with some types of sounds seeming to lead to positive reactions, while others seem to trigger negative reactions consistent with anxiety and other fearful behavior. Our findings further indicated that caregivers seem to struggle with identifying dog body language indicative of such anxiety and fearful behavior, leading to the need for support in doing so. We present and discuss the initial design of technological support to identify when dogs are responding to sounds in the home in negative ways, and how this might be used to both inform caregiving towards dogs, as well as optimize home environments for multispecies co-existence.","PeriodicalId":432998,"journal":{"name":"Proceedings of the Ninth International Conference on Animal-Computer Interaction","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127843762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Chamberlain, Steve Benford, J. Fischer, Pepita Barnard, C. Greenhalgh, Ju Row Farr, Nick Tandavanitj, M. Adams
{"title":"Designing for Trust: Autonomous Animal - Centric Robotic & AI Systems","authors":"A. Chamberlain, Steve Benford, J. Fischer, Pepita Barnard, C. Greenhalgh, Ju Row Farr, Nick Tandavanitj, M. Adams","doi":"10.1145/3565995.3566046","DOIUrl":"https://doi.org/10.1145/3565995.3566046","url":null,"abstract":"From cat feeders and cat flaps to robot toys, humans are deploying increasingly autonomous systems to look after their pets. In parallel, industry is developing the next generation of autonomous systems to look after humans in the home – most notably robot arms that might assist with all manner of domestic tasks. How might the animals and humans in these spaces engage with these and with each other? This research focuses upon the role that ‘Trust’ plays in autonomous animal-centric robotic systems and the ways in which we as researchers can further understand how to design, develop, and evaluate such systems by taking a Responsible Research and Innovation (RRI) approach. Understanding, designing for, and negotiating ‘Trust’ is complex, particularly in contexts where animals, humans, and intelligent systems (including Robotics, AI, & IoT) come together in a social context, in which bonds are created, friendships develop, and mutual care plays a part in the interaction and developing relationship between people and animals.","PeriodicalId":432998,"journal":{"name":"Proceedings of the Ninth International Conference on Animal-Computer Interaction","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128416378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Timothy R. N. Holder, Mushfiqur Rahman, E. Summers, David L. Roberts, Chau-Wai Wong, A. Bozkurt
{"title":"Contact-Free Simultaneous Sensing of Human Heart Rate and Canine Breathing Rate for Animal Assisted Interactions","authors":"Timothy R. N. Holder, Mushfiqur Rahman, E. Summers, David L. Roberts, Chau-Wai Wong, A. Bozkurt","doi":"10.1145/3565995.3566039","DOIUrl":"https://doi.org/10.1145/3565995.3566039","url":null,"abstract":"Animal Assisted Interventions (AAIs) involve pleasant interactions between humans and animals and can potentially benefit both types of participants. Research in this field may help to uncover universal insights about cross-species bonding, dynamic affect detection, and the influence of environmental factors on dyadic interactions. However, experiments evaluating these outcomes are limited to methodologies that are qualitative, subjective, and cumbersome due to the ergonomic challenges related to attaching sensors to the body. Current approaches in AAIs also face challenges when translating beyond controlled clinical environments or research contexts. These also often neglect the measurements from the animal throughout the interaction. Here, we present our preliminary effort toward a contact-free approach to facilitate AAI assessment via the physiological sensing of humans and canines using consumer-grade cameras. This initial effort focuses on verifying the technological feasibility of remotely sensing the heart rate signal of the human subject and the breathing rate signal of the dog subject while they are interacting. Small amounts of motion such as patting and involuntary body shaking or movement can be tolerated with our custom designed vision-based algorithms. The experimental results show that the physiological measurements obtained by our algorithms were consistent with those provided by the standard reference devices. With further validation and expansion to other physiological parameters, the presented approach offers great promise for many scenarios from the AAI research space to veterinary, surgical, and clinical applications.","PeriodicalId":432998,"journal":{"name":"Proceedings of the Ninth International Conference on Animal-Computer Interaction","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131468656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jérémy Félix Barbay, F. Jaña, Crist'obal Sepulveda 'Alvarez
{"title":"Measuring Discrimination Abilities of Monk Parakeets Between Discreet and Continuous Quantities Through a Digital Life Enrichment Application","authors":"Jérémy Félix Barbay, F. Jaña, Crist'obal Sepulveda 'Alvarez","doi":"10.1145/3565995.3566040","DOIUrl":"https://doi.org/10.1145/3565995.3566040","url":null,"abstract":"Ain et al. [1] measured three African Grey (Psittacus Erithacus) parrots’ discrimination abilities between discrete and continuous quantities. Some features of their experimental protocol make it difficult to apply to other subjects and/or species without introducing a risk for some bias, as subjects could read cues from the experimenter (even though the study’s subjects probably did not). Can digital life enrichment techniques permit us to replicate their results with other species with less risk for experimental bias, with a better precision, and at lower cost? Inspired by previous informal digital life enrichment experiments with parrots, we designed and tested a web application to digitally replicate and extend Ain et al.’s experimental setup. We were able to obtain similar results to theirs for two individuals from a distinct species of parrots, Monk Parakeets (Myiopsitta Monachus), with increased guarantees against potential experimental biases, in a way which allows the replication of such experiments at larger scale and at a much lower cost.","PeriodicalId":432998,"journal":{"name":"Proceedings of the Ninth International Conference on Animal-Computer Interaction","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133098488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proceedings of the Ninth International Conference on Animal-Computer Interaction","authors":"","doi":"10.1145/3565995","DOIUrl":"https://doi.org/10.1145/3565995","url":null,"abstract":"","PeriodicalId":432998,"journal":{"name":"Proceedings of the Ninth International Conference on Animal-Computer Interaction","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128321022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}