Watch dogs: A mixed-methods investigation of dog owners’ views on dog monitoring technologies

IF 5.1 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS
Luís Fernando Costa Garrido , Ruan R. Daros , Bianca Vandresen , Courtney Graham , Beth A. Ventura
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Abstract

Dog monitoring technologies are increasingly integrated into dog owners’ routines, yet the perceived impacts of these technologies on dogs and their owners remain underexplored. This study aimed to investigate the perceptions of dog owners (n = 86) regarding use and impacts of these technologies through a mixed-methods questionnaire. Qualitative content analysis was conducted to identify owners’ reasons for adopting dog monitoring technologies and their perceived impacts. Quantitative data were summarized descriptively and associations of perceived impacts with owner demographics, dog characteristics, technology characteristics and scores on the Monash Dog Owner Relationship Scale were assessed using mixed-effect logistic regression models. Five main themes were identified as reasons for adopting and using technologies: 1) monitoring dog safety, 2) monitoring dog behavior, 3) monitoring dog health or disease, 4) owner-related factors, and 5) miscellaneous reasons. Perceived positive impacts on dogs included improved care and increased off-leash opportunities, while negative impacts involved owners’ low trust in the technology’s reliability and concerns about dog behavioral issues and discomfort. Most owners identified a positive impact on themselves, including reduced anxiety and enhanced self-assessed pet parenting. Stress and financial concerns were mentioned as negative effects. No associations were found between quantitative variables and perceived positive or negative impacts. The findings underscore the importance of considering both the benefits and potential drawbacks of these technologies to ensure their ethical and effective integration into the lives of dogs and the humans who care for them.
看门狗:对狗主人对狗监测技术看法的混合方法调查
狗监测技术越来越多地融入狗主人的日常生活,但这些技术对狗和主人的影响仍未得到充分探讨。本研究旨在通过混合方法问卷调查狗主人(n = 86)对这些技术的使用和影响的看法。进行定性内容分析,以确定主人采用狗监测技术的原因及其感知影响。对定量数据进行描述性总结,并使用混合效应逻辑回归模型评估感知影响与主人人口统计学、狗的特征、技术特征和莫纳什狗主人关系量表得分之间的关联。采用和使用技术的原因主要有五个:1)监测狗的安全,2)监测狗的行为,3)监测狗的健康或疾病,4)与主人有关的因素,以及5)其他原因。对狗的积极影响包括改善了对狗的照顾和增加了不拴狗绳的机会,而负面影响包括主人对技术可靠性的信任度较低,以及对狗的行为问题和不适的担忧。大多数主人认为这对他们自己产生了积极的影响,包括减少了焦虑,提高了对宠物养育的自我评估。压力和财务问题被认为是负面影响。数量变量与感知到的积极或消极影响之间没有关联。研究结果强调了考虑这些技术的好处和潜在缺点的重要性,以确保它们在道德和有效地融入狗和照顾它们的人类的生活中。
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来源期刊
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies 工程技术-计算机:控制论
CiteScore
11.50
自引率
5.60%
发文量
108
审稿时长
3 months
期刊介绍: The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...
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