In the Eye of the Beholder: Accounting for Variability in Attitudes and Cognitive/Affective Reactions Toward the Threat of Nuclear War1

The present study was designed to evaluate four characteristics of subjects [i.e., generation (students vs. parents), gender, nuclear threat orientation, and political affiliation] in terms of potential differences in attitudes and cognitive/affective reactions toward the threat of nuclear war. Subjects were 297 college students and their parents (n= 546), who completed a multifaceted questionnaire concerning nuclear-related thoughts, feelings, opinions, and predictions. Multivariate analyses suggested that college students were more distressed than parents about the threat of nuclear war, that men were less anxious than women and more supportive of a “peace through strength” perspective, that individuals endorsing the Disarmist orientation were more worried about nuclear war yet more optimistic than other groups concerning their ability to help reduce the nuclear threat, and that Republicans and Democrats were split along party lines in terms of their attitudes and cognitive/affective responses. Results are discussed with regard to the potential influence of sex-role socialization processes and the importance of optimism in a nuclear world.     

Single-component microcomputer-driven assessment of attention

The Gordon Diagnostic System (GDS) is a single-component microcomputer-based instrument that can be used to administer 11 psychological tests. The game-like tasks provide objective data for evaluating possible attention-deficit hyperactivity disorder or other conditions that affect a person’s ability to sustain attention and exert self-control. The core of the instrument is an integrated circuit with a microprocessor, a random access memory, and an erasable, programmable read-only memory (EPROM). It can be programmed with an IBM PC and an EPROM programmer. The assembly language source is compiled into machine language, which is used to simulate the GDS on the IBM PC or is “burned” into the ROM. The memory is erasable with ultraviolet light, so revisions can be made easily. The GDS illustrates that “custom” programming a ROM is not limited to large industrial concerns, and that it can be done within small research groups.     

Online shopping experience in an emerging e‐retailing market: Towards a conceptual model

We develop a comprehensive and integrated framework of online shopping experience (hereafter OSE) from an emerging market perspective. Using a netnographic research method, we content analysed 284 experiential reviews of 2 leading Nigerian e‐retailers. Augmented by the theory of customer engagement, we identify 8 dimensions of OSE that activate shoppers' affective and cognitive states, which consequently lead to 4 behavioural outcomes, namely, internal responses to service experience, external responses to service experience, repurchase intentions, and word of mouth intentions. The proposed dynamic and comprehensive framework reflects all phases of the consumer decision‐making process and demonstrates that OSE has both perceptual and behavioural components. We make 3 important contributions. First, the paper provides a comprehensive and dynamic model of customer experience that encompasses all the stages in the customer decision‐making process by drawing on a new theoretical perspective to demonstrate how the unique attributes of OSE contribute to extant customer experience research. Second, we advance experiential consumption theory by incorporating attributes of OSE evolved through a unique qualitative research method into existing frameworks of customer experience. Third, we compare and contrast findings from an emerging market with research from more mature markets, when they were undergoing similar development patterns. From a managerial perspective, we illustrate how online retailers operating in emerging markets can draw from the experiences of mature markets and understand the key differences between markets so that they can develop customer experience management strategies by concentrating on the most important components of customer experience.     

Visual search in scenes involves selective and nonselective pathways

How does one find objects in scenes? For decades, visual search models have been built on experiments in which observers search for targets, presented among distractor items, isolated and randomly arranged on blank backgrounds. Are these models relevant to search in continuous scenes? This article argues that the mechanisms that govern artificial, laboratory search tasks do play a role in visual search in scenes. However, scene-based information is used to guide search in ways that had no place in earlier models. Search in scenes might be best explained by a dual-path model: a 'selective' path in which candidate objects must be individually selected for recognition and a 'nonselective' path in which information can be extracted from global and/or statistical information.