@article{53200,
  abstract     = {{Customer misbehavior poses a major risk in the sharing economy. For example, property damage to shared accommodations imposes burdens on both sharing platforms and hosts, especially if misbehaving guests purposefully, not coincidentally conceal, or fail to report damages. Such misbehavior might be facilitated by remote listing management and the lack of face-to-face interactions between hosts and guests. Therefore, this study investigated the effects of host–guest interaction modes (face-to-face, online-only) and frequency on guests’ misbehavior concealment intentions. Social identification and irritation emerged as bright- and dark side mediators, respectively. Guests who interacted face-to-face (vs. online-only) with hosts exhibited weaker intentions to conceal their misbehavior due to increased social identification. Platforms can elicit social identification by engaging guests in virtual communities. However, when face-to-face interactions become excessive, guests experience irritation and are more likely to conceal their misbehavior. These insights offer practical implications for both peer-to-peer sharing platforms and hosts.}},
  author       = {{Ozuna, Edna and Steinhoff, Lena}},
  issn         = {{0148-2963}},
  journal      = {{Journal of Business Research}},
  keywords     = {{Sharing economy, Customer misbehavior, Peer-to-peer services, Face-to-face interactions, Experimental research}},
  publisher    = {{Elsevier BV}},
  title        = {{{“Look me in the eye, customer”: How do face-to-face interactions in peer-to-peer sharing economy services affect customers’ misbehavior concealment intentions?}}},
  doi          = {{10.1016/j.jbusres.2024.114582}},
  volume       = {{177}},
  year         = {{2024}},
}

@article{5617,
  abstract     = {{CAPTCHAs are challenge-response tests that aim at preventing unwanted machines, including bots, from accessing web services while providing easy access for humans. Recent advances in artificial-intelligence based attacks show that the level of security provided by many state-of-the-art text-based CAPTCHAs is declining. At the same time, techniques for distorting and obscuring the text, which are used to maintain the level of security, make text-based CAPTCHAs diffcult to solve for humans, and thereby further degrade usability. The need for developing alternative types of CAPTCHAs which improve both, the current security and usability levels, has been emphasized by several researchers. With this study, we contribute to research through (1) the development of two new face recognition CAPTCHAs (Farett-Gender and Farett-Gender&Age), (2) the security analysis of both procedures, and (3) the provision of empirical evidence that one of the suggested CAPTCHAs (Farett-Gender) is similar to Google's reCAPTCHA and better than KCAPTCHA concerning effectiveness (error rates), superior to both regarding learnability and satisfaction but not effciency.}},
  author       = {{Schryen, Guido and Wagner, Gerit and Schlegel, Alexander}},
  journal      = {{Computers & Security}},
  keywords     = {{CAPTCHA, Usability, Facial features, Gender classiffcation, Age classification, Face recognition reverse Turing test}},
  number       = {{July}},
  pages        = {{95--116}},
  publisher    = {{Elsevier}},
  title        = {{{Development of two novel face-recognition CAPTCHAs: a security and usability study}}},
  volume       = {{60}},
  year         = {{2016}},
}

@article{6080,
  abstract     = {{Peripheral visual cues lead to large shifts in psychometric distributions of temporal-order judgments. In one view, such shifts are attributed to attention speeding up processing of the cued stimulus, so-called prior entry. However, sometimes these shifts are so large that it is unlikely that they are caused by attention alone. Here we tested the prevalent alternative explanation that the cue is sometimes confused with the target on a perceptual level, bolstering the shift of the psychometric function. We applied a novel model of cued temporal-order judgments, derived from Bundesen’s Theory of Visual Attention.We found that cue–target confusions indeed contribute to shifting psychometric functions. However, cue-induced changes in the processing rates of the target stimuli play an important role, too. At smaller cueing intervals, the cue increased the processing speed of the target. At larger intervals, inhibition of return was predominant. Earlier studies of cued TOJs were insensitive}},
  author       = {{Tünnermann, Jan and Scharlau, Ingrid}},
  issn         = {{1664-1078}},
  journal      = {{Frontiers in Psychology}},
  keywords     = {{cueing, temporal-order judgements, theory of visual attention (TVA), peripheral cue, processing speed, stimulus encoding, prior entry, Attention, Cues, Face Perception, Judgment}},
  title        = {{{Peripheral visual cues: Their fate in processing and effects on attention and temporal-order perception.}}},
  doi          = {{10.3389/fpsyg.2016.01442}},
  volume       = {{7}},
  year         = {{2016}},
}

@article{11892,
  abstract     = {{For an environment to be perceived as being smart, contextual information has to be gathered to adapt the system's behavior and its interface towards the user. Being a rich source of context information speech can be acquired unobtrusively by microphone arrays and then processed to extract information about the user and his environment. In this paper, a system for joint temporal segmentation, speaker localization, and identification is presented, which is supported by face identification from video data obtained from a steerable camera. Special attention is paid to latency aspects and online processing capabilities, as they are important for the application under investigation, namely ambient communication. It describes the vision of terminal-less, session-less and multi-modal telecommunication with remote partners, where the user can move freely within his home while the communication follows him. The speaker diarization serves as a context source, which has been integrated in a service-oriented middleware architecture and provided to the application to select the most appropriate I/O device and to steer the camera towards the speaker during ambient communication.}},
  author       = {{Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}},
  journal      = {{IEEE Journal of Selected Topics in Signal Processing}},
  keywords     = {{audio streaming, audio visual data streaming, context information speech, face identification, face recognition, image segmentation, middleware, multimodal telecommunication, online diarization, service oriented middleware architecture, sessionless telecommunication, software architecture, speaker identification, speaker localization, speaker recognition, steerable camera, telecommunication computing, temporal segmentation, terminal-less telecommunication, video streaming}},
  number       = {{5}},
  pages        = {{845--856}},
  title        = {{{Online Diarization of Streaming Audio-Visual Data for Smart Environments}}},
  doi          = {{10.1109/JSTSP.2010.2050519}},
  volume       = {{4}},
  year         = {{2010}},
}

@article{6076,
  abstract     = {{In the present study, we examined whether the detection advantage for negative-face targets in crowds of positive-face distractors over positive-face targets in crowds of negative faces can be explained by differentially efficient distractor rejection. Search Condition A demonstrated more efficient distractor rejection with negative-face targets in positive-face crowds than vice versa. Search Condition B showed that target identity alone is not sufficient to account for this effect, because there was no difference in processing efficiency for positive- and negative-face targets within neutral crowds. Search Condition C showed differentially efficient processing with neutral-face targets among positive- or negative-face distractors. These results were obtained with both a within-participants (Experiment 1) and a between-participants (Experiment 2) design. The pattern of results is consistent with the assumption that efficient rejection of positive (more homogenous) distractors is an im}},
  author       = {{Horstmann, Gernot and Scharlau, Ingrid and Ansorge, Ulrich}},
  issn         = {{1069-9384}},
  journal      = {{Psychonomic Bulletin & Review}},
  keywords     = {{angry face distractors, visual search, negative face distractors, Adult, Anger, Attention, Face, Female, Happiness, Humans, Male, Rejection (Psychology), Visual Perception, Distraction, Face Perception, Visual Perception, Visual Search}},
  number       = {{6}},
  pages        = {{1067 -- 1073}},
  title        = {{{More efficient rejection of happy than of angry face distractors in visual search.}}},
  volume       = {{13}},
  year         = {{2006}},
}