1,721,178 research outputs found
Toward affective social interaction in VR
Full text linkGiulio Jacucci shares his views on affective social interaction in virtual reality (VR). In social interaction, emotions can be expressed through gestures, posture, facial expressions, speech and its acoustic features, and touch. The expressions are recorded first by capturing the live presentation from a professional actor, using a facialtracking software that also animates a virtual character. Expressions can then be manually adjusted to last for the same amount of time and end with a neutral expression. Emotion tracking is more challenging in the case of a wearable VR headset, as facial expressions cannot be easily tracked through recent computervision software. Eye tracking can be used both to identify whether users attend to a particular stimulus to track its emotional response, and to track psychophysiological phenomena such as cognitive load and arousal. Affective interaction here can motivate physical exercise or monitor psychophysiological states such as engagement or relaxation.Non peer reviewe
Interactive tables in the wild - visitor experiences with multi-touch tables in the Arctic exhibit at the Vancouver Aquarium
No full textFunding: Alberta Innovates–Technology Futures (Alberta Ingenuity & iCORE), CFI, NSERC, and SMART Technologies.This report describes and discusses the findings from a field study that was conducted at the Vancouver Aquarium to investigate how visitors explore and experience large horizontal multi-touch tables as part of public exhibition spaces. The study investigated visitors’ use of two different tabletop applications—the Collection Viewer and the Arctic Choices table—that are part of the Canada’s Arctic exhibition at the Vancouver Aquarium. Our findings show that both tabletop exhibits enhanced the exhibition in different ways. The Collection Viewer table evoked visitors curiosity by presenting visually interesting information and engaged by supporting lightweight, playful, and open-ended information exploration. The Arctic Choices table enabled visitors to explore a variety of information about environmental and political changes within the Arctic in depth by providing detailed data visualizations. The application triggered a lot of insightful discussions among visitors. Our study findings include a discussion of the factors that attracted visitors’ attention and triggered interaction with both tabletop exhibits, the character and duration of information exploration, general exploration strategies, and factors that triggered social and collaborative information exploration. We also discuss usability issues of both tabletop applications alongside possible solutions
Oops, I forgot the light on! The cognitive mechanisms supporting the execution of energy saving behaviors
No full textSymbiotic Interaction: A Critical Definition and Comparison to other Human-Computer Paradigms Symbiotic Interaction
No full textWe propose a definition of symbiotic interaction that is informed by current developments in computing. We clearly distinguish this definition from previous ones and from selected paradigms that address the human-computer relationship. The definition is also informed by a variety of human-centered frameworks in human-computer interaction, including embodied interactions, situationist frameworks, and participatory and work-oriented design perspectives. Symbiotic interactions can be achieved by combining computation, sensing technology, and interaction design to realize deep perception, awareness, and understanding between humans and computers. Important aspects to implement are transparency, reciprocity, and collaborative use of resources for both computers and humans. The symbiotic relationship is also characterized by goals and agency independence of humans and computers. The definition sets the premise to discuss in a critical way future research agendas for symbiotic interactions that are sensitive to human-centered values
Naturalistic digital task modeling for personal information assistance via continuous screen monitoring
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From Hyperlinks to Hypercues : Entity-Based Affordances for Fluid Information Exploration
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Proceedings of the International Working Conference on Advanced Visual Interfaces, AVI' 14, Como, Italy, May 27-29, 2014.
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Watching inside the Screen: Digital Activity Monitoring for Task Recognition and Proactive Information Retrieval
Full text linkWe investigate to what extent it is possible to infer a user’s work tasks by digital activity monitoring and use the task models for proactive information retrieval. Ten participants volunteered for the study, in which their computer screen was monitored and related logs were recorded for 14 days. Corresponding diary entries were collected to provide ground truth to the task detection method. We report two experiments using this data. The unsupervised task detection experiment was conducted to detect tasks using unsupervised topic modeling. The results show an average task detection accuracy of more than 70% by using rich screen monitoring data. The single-trial task detection and retrieval experiment utilized unseen user inputs in order to detect related work tasks and retrieve task-relevant information on-line. We report an average task detection accuracy of 95%, and the corresponding model-based document retrieval with Normalized Discounted Cumulative Gain of 98%. We discuss and provide insights regarding the types of digital tasks occurring in the data, the accuracy of task detection on different task types, and the role of using different data input such as application names, extracted keywords, and bag-of-words representations in the task detection process. We also discuss the implications of our results for ubiquitous user modeling and privacy.Peer reviewe
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