Dogs do look at images - eye tracking in canine cognition research

Somppi, Sanni; Törnqvist, Heini; Hänninen, Laura; Vainio, Outi; Krause, Christina M.

doi:10.1016/j.jveb.2010.09.045

Cited by 11 publications

(16 citation statements)

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“…The 45°angle was reached when (a) the horse's eyeball facing the loudspeaker disappeared with only the curve of the eye socket remaining visible and (b) the nostril of that same side was out of sight. The ''moment'' (C120 ms) of gazing fixedly compared to the fact that dogs needed an average of 95 ms to check a blank monitor for novelties (Somppi et al 2010). …”

Section: Analysis Of Videotapesmentioning

confidence: 99%

Cross-modal recognition of human individuals in domestic horses (Equus caballus)

Lampe

Andre

2012

Anim Cogn

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This study has shown that domestic horses are capable of cross-modal recognition of familiar humans. It was demonstrated that horses are able to discriminate between the voices of a familiar and an unfamiliar human without seeing or smelling them at the same moment. Conversely, they were able to discriminate the same persons when only exposed to their visual and olfactory cues, without being stimulated by their voices. A cross-modal expectancy violation setup was employed; subjects were exposed both to trials with incongruent auditory and visual/olfactory identity cues and trials with congruent cues. It was found that subjects responded more quickly, longer and more often in incongruent trials, exhibiting heightened interest in unmatched cues of identity. This suggests that the equine brain is able to integrate multisensory identity cues from a familiar human into a person representation that allows the brain, when deprived of one or two senses, to maintain recognition of this person.

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Section: Analysis Of Videotapesmentioning

confidence: 99%

Cross-modal recognition of human individuals in domestic horses (Equus caballus)

Lampe

Andre

2012

Anim Cogn

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“…Describe any modifications to the experimental protocols made to reduce adverse events, and if some still remain give details of them in each experimental group [10][18] [24]. See examples in [7][8] [31].…”

Section: Altchi: Ethics Chi 2013: Changing Perspectives Paris Francementioning

confidence: 99%

“…See examples in[7][31].Characteristics: Explain the composition of animals, number of subjects, how many individuals are in each control group, the number of control groups, and how control groups relate to the experiment[10][18][24][25][29]. Describe also how individuals are assigned to the groups[25][29].…”

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confidence: 99%

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Ethical issues and guidelines when conducting HCI studies with animals

Väätäjä

Pesonen

2013

CHI '13 Extended Abstracts on Human Factors in Computing Systems

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The number of studies in the field of Human-Computer Interaction (HCI) with animals has increased in recent years. When planning and carrying out the studies with animals, it is important and necessary to take into account the welfare of the animals as well as deal with the short-and long-term effects of the developed technology and related interventions on animal welfare. This paper addresses the ethical issues, presents the key concepts and provides guidelines for carrying out studies with animals based on a literature review. The guidelines cover the phases from planning of the studies, to carrying out and reporting the studies.

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“…In such cases, a user's behaviour can be analysed to indicate welfare (both physical and mental) and to indicate choice and the users' decisions (Dawkins, 2004). To study behaviour, designers of ACI systems have created their own toolbox of requirement gathering tactics which include interpreting gestures and body language , using body/face/eye/gaze/ trackers (Somppi et al, 2012;Pons et al, 2014;Williams et al, 2011), seeking physiological signs and vocal behaviour (Taylor, et al, 2014), gathering owner reports (Hirskyj-Douglas et al, 2013) and using animal behaviourists' opinions (Lemansoon et al, 2015). This paper contributes in this area of system requirement gathering and evaluation in Dog-Computer Interaction (DCI) by presenting a tool to increase a human evaluators' knowledge of behaviour in order to improve the value of human observations of the dog: DISH is a specially designed information sheet showing typical behaviours displayed by dogs particularly when interacting with technology.…”

Section: Introductionmentioning

confidence: 99%

Using Behavioural Information to Help Owners Gather Requirements from their Dogs’ Responses to Media Technology

Hirskyj-Douglas

Read

2016

Electronic Workshops in Computing

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The study of non-human animals' interactions with technology is referred to as Animal-Computer Interaction (ACI). Data gathering with these non-human animal users typically relies on the owner as a proxy to gather requirements and feedback from the animal's behavioural reactions. These owners, however, may provide poor information, as they are habitually not knowledgeable in animal behaviour. To improve data gathering in Dog-Computer Interaction (DCI) research, we present a Dog Information Sheet (DISH) for owners which contains known dog physical behaviours and their potential cognitive reactions. This is used to create a more informed dog owner observer in order to improve feedback in ACI. DISH's effect on owner evaluations is assessed by gauging their own dog's behavioural reactions to persuasively designed media. The findings established that when using DISH, owners were better at identifying both the behaviour perceived and at reasoning behind their dogs' reactions. However, owners using the DISH were unable to recognize the different dogs' behavioral states unless they considered themselves experts at dog behaviour. Whilst this research is centred on collecting data on dogs to improve User Experience (UX) in a Dog-Computer Interaction (DCI) context, the method presented behind the DISH can be applied to both ACI and Human-Computer Interaction (HCI) field to help interpret behaviours during requirement gathering and evaluative practices for non-vocal and limited cognitive users.

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Dogs do look at images - eye tracking in canine cognition research

Cited by 11 publications

References 0 publications

Cross-modal recognition of human individuals in domestic horses (Equus caballus)

Cross-modal recognition of human individuals in domestic horses (Equus caballus)

Ethical issues and guidelines when conducting HCI studies with animals

Using Behavioural Information to Help Owners Gather Requirements from their Dogs’ Responses to Media Technology

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