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Purpose – To better understand how some users enjoy using Facebook as it breaks the tension between their desire to stare and the social norm dictating one should not stare.

Methodology – An interpretivist methodology was employed to understand why staring behaviour was so attractive to some Facebook users. 11 Facebook users took part in the study and were observed using Facebook, interviewed about their time online and asked to discuss posts that they had stared at in the past.

Findings – From the study it was shown that staring was commonplace on Facebook and ranged from harmless information searching to more extreme forms of Schadenfreude Staring. Regardless of the staring behaviour, the motivation remained constant. That is, Facebook allowed the users to engage in behaviour that is often stigmatised in offline settings.

Implications – This research highlights the importance of online behaviour as a release from offline tension and constraint. The research also highlights how some users may be actively engaging in behaviour online that offline may be deemed unsuitable or deviant.

Originality – Although much literature has looked at the role of online environments in identity formation, very little has looked at the role of online engagement as a means to specifically break with offline social norms. This research also highlights the growing trend of seeking information that elicits a sensation of Schadenfreude for the viewer. Further research should look to see how other forms of behaviour would elicit similar feelings of Schadenfreude and what implications this has on consumer culture.

Based on interviews with 27 victims’ family members and survivors, this chapter explores how memory of the Oklahoma City bombing was constructed through participation in groups formed after the bombing and participation in the trials of Timothy McVeigh and Terry Nichols. It first addresses the efficacy of a collective memory perspective. It then describes the mental context in which interviewees joined groups after the bombing, the recovery functions groups played, and their impact on punishment expectations. Next, it discusses a media-initiated involuntary relationship between McVeigh and interviewees. Finally, this chapter examines execution witnesses’ perceptions of communication with McVeigh in his trial and execution.

Malta is a small, densely populated, and dominantly Catholic island republic not too far off the North-African coast. Before 2002, Malta never had to deal with many irregular immigrants. Nevertheless, negative stigmas toward “southerners” were pre-existent and seemed to have been around for centuries. This stigmatization was caused by a historical identification of the self of Maltese citizens as Christian Europeans. By 2002, irregular migration patterns changed and thousands of African irregular immigrants started arriving by boat every year. Keeping in mind the smallness of the island, this had a considerable impact on its ethnographic landscape. Pre-existing stigmas strongly persisted, additional stigmas were created, and many supposed inconveniences were fabricated by the Maltese citizenry. The title “outsiders as invaders” is quoted from an interview with a Maltese expert on irregular migration. This brings attention to the fact that stigmatized persons who are living in Malta are still regularly demonized and seen as “the others” by mainstream society. Even today barely any effort is made by Maltese society, institutions, or even its government to support integration and acceptance of non-European outsiders.

COMPANIES ARE BEING URGED to go hunting for export orders, but cannot afford to send men abroad. Airlines are in such a bad way, some staring at bankruptcy, because they cannot fill their seats. What a ludicrous situation.

Artificial intelligence (AI) has a large number of applications at the industry and user levels. However, AI's uniqueness neglect is becoming an obstacle in the further application of AI. Based on the theory of innovation resistance, this paper aims to explore the effect of AI's uniqueness neglect on consumer resistance to AI.

The authors tested four hypothesis across four studies by conducting lab experiments. Study 1 used a questionnaire to verify the hypothesis that AI's uniqueness neglect leads to consumer resistance to AI; Studies 2 focused on the role of human–AI interaction trust as an underlying driver of resistance to medical AI. Study 3–4 provided process evidence by way of a measured moderator, testing whether participants with a greater sense of non-verbal human–AI communication are more reluctant to have consumer resistance to AI.

The authors found that AI's uniqueness neglect increased users' resistance to AI. This occurs because the uniqueness neglect of AI hinders the formation of interaction trust between users and AI. The study also found that increasing the gaze behavior of AI and increasing the physical distance in the interaction can alleviate the effect of AI's uniqueness neglect on consumer resistance to AI.

This paper explored the effect of AI's uniqueness neglect on consumer resistance to AI and uncovered human–AI interaction trust as a mediator for this effect and gaze behavior and physical distance as moderators for this effect.

That's what the ILL and Cataloging Micro Enhancer software used to say to each other here at NJIT. We thought we were going to have a shootout at the M310 Workstation, with all the catalogers staring down all the interlibrary loan honchos. But that's before “Sheriff Batch File” rode into town and taught us that all we really had was a failure to communicate.

The aim of the research project which resulted in this work is to achieve a cost‐effective approach for instantaneous hyperspectral imaging.

This paper presents a simulation study and an experimental evaluation of a novel imaging spectroscopy technique, where multi‐channel image data are acquired instantaneously and transformed into spectra by using a statistical modelling approach. A digital colour camera equipped with an additional colour filter array was used to acquire an instantaneous single image that was demosaicked to generate a multi‐channel image. A statistical transformation approach was employed to convert this image into a hyperspectral one.

The feasibility of this method was investigated through extensive simulation and experimental tasks where promising results were obtained.

The small size of the initially acquired single instantaneous image makes this approach useful for applications where video‐rate hyperspectral imaging is required.

For the first time, a simplified prototype of this novel imaging spectroscopy technique was built and evaluated experimentally. And the results were compared with those of a more ideal simulation study. Recommendations for how to improve the prototype were also suggested as a result of the comparison between the simulation and the prototype evaluation results.