Dataset Information

The Experience of Novelty and the Novelty of Experience.

ABSTRACT: In cognitive psychology novelty is an antecedent of attention, emotion, memory, and behavior. However, the relationship between novelty and experience memorability remains conceptually underdeveloped in tourism. This research applies cognitive appraisal theory (CAT) to explore the contribution of novelty and emotion to memorable tourism experiences (MTEs). Seventy-five novel travel episodes were identified through semi-structured interviews. Analysis focused on the antecedent and consequent conditions of novelty. Novel experiences, whether positive or negative, were identified as critical to experience memorability. Novelty could be segmented into trip-related and event-related dimensions. Novelty contributes to how spatial, temporal, and contextual details of tourism experiences are remembered and reconstructed due to the elicitation of intense emotions. Analysis revealed negative experiences deemed as novel were found to be re-evaluated and often remembered as a positive experience. A conceptual model titled "cognitive appraisal of novelty in memorable tourism experiences" is presented for consideration in future research. By applying a retrospective and prospective approach the conceptual model explores the role of novelty through the process of cognitive appraisal, identifying goals, attention, and prior experiences as central for the experience of novelty. Future research should consider the application of recent advance in CAT to advance inquiry on tourism experiences as a psychological phenomenon.

SUBMITTER: Skavronskaya L

PROVIDER: S-EPMC7057242 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The Experience of Novelty and the Novelty of Experience.

Skavronskaya Liubov L Moyle Brent B Scott Noel N

Frontiers in psychology 20200226

In cognitive psychology novelty is an antecedent of attention, emotion, memory, and behavior. However, the relationship between novelty and experience memorability remains conceptually underdeveloped in tourism. This research applies cognitive appraisal theory (CAT) to explore the contribution of novelty and emotion to memorable tourism experiences (MTEs). Seventy-five novel travel episodes were identified through semi-structured interviews. Analysis focused on the antecedent and consequent cond ...[more]

PMID: 32174872

Similar Datasets

Project description:High-throughput sequencing of small-subunit (SSU) rRNA genes has revolutionized understanding of microbial communities and facilitated investigations into ecological dynamics at unprecedented scales. Such extensive SSU rRNA gene sequence libraries, constructed from DNA extracts of environmental or host-associated samples, often contain a substantial proportion of unclassified sequences, many representing organisms with novel taxonomy (taxonomic "blind spots") and potentially unique ecology. Indeed, these novel taxonomic lineages are associated with so-called microbial "dark matter," which is the genomic potential of these lineages. Unfortunately, characterization beyond "unclassified" is challenging due to relatively short read lengths and large data set sizes. Here we demonstrate how mining of phylogenetically novel sequences from microbial ecosystems can be automated using SSUnique, a software pipeline that filters unclassified and/or rare operational taxonomic units (OTUs) from 16S rRNA gene sequence libraries by screening against consensus structural models for SSU rRNA. Phylogenetic position is inferred against a reference data set, and additional characterization of novel clades is also included, such as targeted probe/primer design and mining of assembled metagenomes for genomic context. We show how SSUnique reproduced a previous analysis of phylogenetic novelty from an Arctic tundra soil and demonstrate the recovery of highly novel clades from data sets associated with both the Earth Microbiome Project (EMP) and Human Microbiome Project (HMP). We anticipate that SSUnique will add to the expanding computational toolbox supporting high-throughput sequencing approaches for the study of microbial ecology and phylogeny. IMPORTANCE Extensive SSU rRNA gene sequence libraries, constructed from DNA extracts of environmental or host-associated samples, often contain many unclassified sequences, many representing organisms with novel taxonomy (taxonomic "blind spots") and potentially unique ecology. This novelty is poorly explored in standard workflows, which narrows the breadth and discovery potential of such studies. Here we present the SSUnique analysis pipeline, which will promote the exploration of unclassified diversity in microbiome research and, importantly, enable the discovery of substantial novel taxonomic lineages through the analysis of a large variety of existing data sets.

Dataset Information

The Experience of Novelty and the Novelty of Experience.

Publications

The Experience of Novelty and the Novelty of Experience.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets