scholarly journals YOUTH TRAVEL EXPERIENCE: AN ANALYSIS OF THE RELATIONS BETWEEN MOTIVATIONS, SATISFACTION AND PERCEIVED CHANGE

2018 ◽  
Author(s):  
SIMONA STAFFIERI ◽  
ELENA CAVAGNARO

2020 ◽  
Vol 5 ◽  
pp. 78-83
Author(s):  
S.A. Mikhailov ◽  

The tourism industry has grown rapidly in recent years, and IT technology is also having a big impact on tourists. Tourism services, information generated by tourists and other sources can be used to build models of tourist behavior. These models can improve the travel experience in various ways. The author presents the system for analyzing tourist behavior based on the concept of a digital pattern of life. The system determines the tourist, possible data sources, ways of storing and presenting data, as well as tools for analyzing behavior. The author used artifi cial neural networks to analyze behavior from a dataset of tourist travels made with cars. One scenario of tourist behavior using artifi cial neural networks is presented. The collected results will be used for improving tourist services.



2020 ◽  
Author(s):  
Kate Lawler ◽  
Caroline Earley ◽  
Ladislav Timulak ◽  
Angel Enrique ◽  
Derek Richards

BACKGROUND Treatment dropout continues to be reported from iCBT interventions and lower completion rates are generally associated with lower treatment effect sizes. However, evidence is emerging to suggest that completion of a pre-defined number of modules is not always necessary for clinical benefit nor considerate of the needs of each individual patient. OBJECTIVE The study aimed to carry out a qualitative analysis of patients’ experiences of an iCBT intervention in a routine care setting in order to achieve a deeper insight into the phenomenon of dropout. METHODS Fifteen purposively sampled participants (8 female) from a larger parent RCT were interviewed via telephone using a semi-structured interview schedule that was developed from the existing literature and research on dropout in iCBT. Data was analysed using the descriptive-interpretive approach. RESULTS The experience of treatment leading to dropout can be understood in terms of ten domains: Relationship to Technology, Motivation to Start, Background Knowledge and Attitudes towards iCBT, Perceived Change in Motivation, Usage of the Programme, Changes due to the Intervention, Engagement with Content, Experience Interacting with the Supporter, Experience of Online Communication and Termination of the Supported Period. CONCLUSIONS Patients who drop out of treatment can be distinguished in terms of their change in motivation: those who felt ready to leave treatment early and those who had negative reasons for dropping out. These two groups of participants have different treatment experiences, revealing potential attributes and non-attributes of dropout. The reported between group differences should be examined further to consider those attributes that are strongly descriptive of the experience and regarded with less importance those that have become loosely affiliated.



2019 ◽  
Vol 49 (4) ◽  
pp. 298-315
Author(s):  
Nafisa Yeasmin ◽  
Timo Koivurova ◽  
Elli Heikkilä


2020 ◽  
Vol 10 (24) ◽  
pp. 8930
Author(s):  
Akira Sasaki ◽  
Fu Xiang ◽  
Rina Hayashi ◽  
Yuko Hiramatsu ◽  
Kazutaka Ueda ◽  
...  

We have been studying a sightseeing support application using Bluetooth Low Energy (BLE) beacons and mobile phones since 2014 to support sightseeing in Nikko, one of Japan’s World Heritage sites. Travelers can receive information relating to their position by using this application. We tried to use some psychological effects to increase travelers’ satisfaction when they receive such information. Moreover, we tried to emphasize travel memories of the place (scenery, culture, food, etc.) to encourage them to revisit or inspire their friends to visit it. Our tests prove the usefulness of our sightseeing support application for enhancing the travel experience. However, we had not yet developed a function to provide information that met the travelers’ intentions or needs. Moreover, it is hazardous to use a smartphone during walking, especially in an unfamiliar place. If a traveler uses a smartphone during walking, they might miss the beautiful scenery, historic buildings, and exotic atmosphere. We tried to adapt our sightseeing support application for use with a wearable device (smartwatch) to avoid using a smartphone during walking and introduced a prospect theory to evaluate information according to personal interest and behavior. Our experiments proved that our application provided the most appropriate sightseeing information to travelers and prevented danger during walking.



2019 ◽  
Vol 2 ◽  
pp. 205920431984735
Author(s):  
Roger T. Dean ◽  
Andrew J. Milne ◽  
Freya Bailes

Spectral pitch similarity (SPS) is a measure of the similarity between spectra of any pair of sounds. It has proved powerful in predicting perceived stability and fit of notes and chords in various tonal and microtonal instrumental contexts, that is, with discrete tones whose spectra are harmonic or close to harmonic. Here we assess the possible contribution of SPS to listeners’ continuous perceptions of change in music with fewer discrete events and with noisy or profoundly inharmonic sounds, such as electroacoustic music. Previous studies have shown that time series of perception of change in a range of music can be reasonably represented by time series models, whose predictors comprise autoregression together with series representing acoustic intensity and, usually, the timbral parameter spectral flatness. Here, we study possible roles for SPS in such models of continuous perceptions of change in a range of both instrumental (note-based) and sound-based music (generally containing more noise and fewer discrete events). In the first analysis, perceived change in three pieces of electroacoustic and one of piano music is modeled, to assess the possible contribution of (de-noised) SPS in cooperation with acoustic intensity and spectral flatness series. In the second analysis, a broad range of nine pieces is studied in relation to the wider range of distinctive spectral predictors useful in previous perceptual work, together with intensity and SPS. The second analysis uses cross-sectional (mixed-effects) time series analysis to take advantage of all the individual response series in the dataset, and to assess the possible generality of a predictive role for SPS. SPS proves to be a useful feature, making a predictive contribution distinct from other spectral parameters. Because SPS is a psychoacoustic “bottom up” feature, it may have wide applicability across both the familiar and the unfamiliar in the music to which we are exposed.



2012 ◽  
Vol 29 (4) ◽  
pp. 359-375 ◽  
Author(s):  
Freya Bailes ◽  
Roger T. Dean

this study investigates the relationship between acoustic patterns in contemporary electroacoustic compositions, and listeners' real-time perceptions of their structure and affective content. Thirty-two participants varying in musical expertise (nonmusicians, classical musicians, expert computer musicians) continuously rated the affect (arousal and valence) and structure (change in sound) they perceived in four compositions of approximately three minutes duration. Time series analyses tested the hypotheses that sound intensity influences listener perceptions of structure and arousal, and spectral flatness influences perceptions of structure and valence. Results suggest that intensity strongly influences perceived change in sound, and to a lesser extent listener perceptions of arousal. Spectral flatness measures were only weakly related to listener perceptions, and valence was not strongly shaped by either acoustic measure. Differences in response by composition and musical expertise suggest that, particularly with respect to the perception of valence, individual experience (familiarity and liking), and meaningful sound associations mediate perception.





2006 ◽  
Vol 39 (1) ◽  
pp. 59-71 ◽  
Author(s):  
Roger Sapsford ◽  
Pamela Abbott

This paper looks at trust and confidence in people and institutions in eight of the countries that have undergone transformation since the breakup of the Soviet Union. While the questions are not identical to those asked in previous research in post-Soviet societies, our findings are comparable—greatest trust in relatives and friends, less in people in general and least in politicians and institutions of social control. Levels of trust are not high, and there are interesting differences between the countries, giving support to the view that trust and confidence are eroded by sudden and dramatic negatively perceived change.



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