1,720,986 research outputs found

    Why do people take Screenshots on their Smartphones?

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    Computer-Cognition Interfaces: Sensing and influencing mental processes with computer interaction

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    The variety of information about users hidden in the details of interaction data is increasingly being utilized for recognizing complex mental processes. Digital systems can correspondingly influence mental processes of users, paving the way for new interactive systems that interface with the human mind. This thesis presents advances to such interfaces: through four papers I show how human affect and cognition can be sensed and influenced computationally. Paper 1 presents two studies that together show that affect influences mobile interaction, which allows for binary discrimination between neutral and positive affect using sensor led machine learning classification. Paper 2 builds upon the methods presented in Paper 1 and extends the classification domain to dishonesty, also using mobile interaction data. The paper shows across three studies how dishonesty and honesty vary in interactional details, and how this difference can be utilized for estimating the veracity of user behavior based on features that are engineered by mobile interaction data. Paper 3 presents a feasibility study of conducting virtual reality studies outside a laboratory, to increase heterogeneity and power. The paper shows through two studies how a range of VR tasks can be conducted without the use of an immediate experimenter, with participants carrying out experiments themselves. In Paper 4 I apply this methodology, and conduct a VR study with more than 200 participants to study how manipulations to avatars can influence affect responses. The paper presents evidence supporting the link between affect and avatars, and additionally discusses the interplay between positive affect and body ownership

    Replicating replicability modelling

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    Effects of Processing Fluency of Video on Credibility Assessments

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    The processing fluency with which people process a claim has been found to impact its believability, such that people are more likely to believe a claim that they can process easily. We will evaluate whether this relationship holds for fluency of videos. Does the processing fluency of a video effect whether people deem it credible? We will investigate the effects of reduced visual fluency on processing fluency and credibility. Depending on the group they are assigned to, participants will be shown a version of the same two minutes long video clip and tasked to evaluate it using a questionnaire

    How we Guide, Write, and Cite at CHI

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    There are many opinions on how to write an influential CHI paper, ranging from writing in an active voice to including colons in the title. However, little is known about how we actually write, and how writing influences impact. We conducted quantitative analyses of the full text of all 6578~CHI papers published since 1982 to investigate. We looked at readability, titles, novelty, and name-dropping and related these measures to the papers' citation count; overall and for different subcommittees. We found that CHI papers are more readable than papers from other fields. Furthermore, readability, title length, and novelty markers all influence citation counts

    Preregistration for study in Hand Textures Data Report

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    This preregistration describes the method, procedure, and data analyses for a study aimed at validating an open source hand texture data set for virtual reality

    Hand Textures Data Report

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    The Processing Fluency and Message Credibility of Deepfake Videos

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    AI generated videos, so called deepfakes, are known to be near life-like in their imitation of recorded videos. However, they typically bear features that are unusual or even impossible in recorded videos, so called artifacts. The Feeling as Information Theory suggests that, as video viewers do not expect these artifacts, videos that feature them will be processed less fluently than those that do not. Prior research has found a link between processing fluency and credibility judgements. We investigate the effects of a synthetized presenter and a synthetized voice in video processing fluency and credibility assessment
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