Social interaction in co creating the tourist experience An exploratory study of Chinese visitors to Japan

Author(s):  
Xing Han ◽  
Carolus L.C. Praet ◽  
Liyong Wang

Tourists are increasingly looking for experiences that allow them to actively participate (Campos et al., 2015), and the role of the tourist as a co-creator, or even the sole creator, of the tourism experience is becoming widely recognized among tourism scholars and practitioners (Binkhorst & Dekker, 2009; Rihova et al., 2013; Campos et al., 2015). Some even regard active value co-creation as the most important aspect of the tourism experience (e.g.Boswijk, Thijssen & Peelen, 2007; Binkhorst & Dekker, 2009). Destinations may be viewed as a space in which tourists co-create their own memorable experiences through social and other interactions (Morgan & Xu, 2009). Following this conceptualization, social interaction among participants is an essential condition for value co-creation. Categories of social actors participating in tourism value co-creation include service providers (e.g., Salvado, 2011; Minkiewicz, Evans & Bridson, 2014), the local community (e.g., Azevedo, 2009; Richards, 2010), and other tourists (e.g., Rihova et al., 2013, 2015; Reichenberger, 2017). Surprisingly perhaps, previous tourism studies have tended to take social interactions among actors in tourism for granted, and have often treated them as inherently positive. Hence, we feel that an investigation of these basic assumptions of positive social interactions and how they are perceived by tourists is warranted. Furthermore, tourists’ perceptions and attitudes towards different types of on-site social actors may lead to different forms of value co-creation. We therefore need to study from the perspective of the tourist how different types of social actors participate in the tourism value co-creation process, and what is the relative impact of each type of social actor on this process.

Author(s):  
Erik den Hartigh

Direct social interactions between economic agents (people) are important in determining their choices. When choosing a new car, you will likely ask some of your friends or acquaintances what their opinion is on different types and brands of cars. When choosing a new photo camera, you are likely to visit an Internet forum to see what other peoples’ opinions are on the different brands and types of cameras. These are examples of social interaction. Social interaction effects are therefore important in determining buying behavior. The rise of the Internet has considerably facilitated such social interactions, making social interaction effects even more important.


2019 ◽  
Author(s):  
Leyla Isik ◽  
Anna Mynick ◽  
Dimitrios Pantazis ◽  
Nancy Kanwisher

The ability to detect and understand other people’s social interactions is a fundamental part of the human visual experience that develops early in infancy and is shared with other primates. However, the neural computations underlying this ability remain largely unknown. Is the detection of social interactions a rapid perceptual process, or a slower post-perceptual inference? Here we used magnetoencephalography (MEG) decoding and computational modeling to ask whether social interactions can be detected via fast, feedforward processing. Subjects in the MEG viewed snapshots of visually matched real-world scenes containing a pair of people who were either engaged in a social interaction or acting independently. The presence versus absence of a social interaction could be read out from subjects’ MEG data spontaneously, even while subjects performed an orthogonal task. This readout generalized across different scenes, revealing abstract representations of social interactions in the human brain. These representations, however, did not come online until quite late, at 300 ms after image onset, well after the time period of feedforward visual processes. In a second experiment, we found that social interaction readout occurred at this same latency even when subjects performed an explicit task detecting social interactions. Consistent with these latency results, a standard feedforward deep neural network did not contain an abstract representation of social interactions at any model layer. We further showed that MEG responses distinguished between different types of social interactions (mutual gaze vs joint attention) even later, around 500 ms after image onset. Taken together, these results suggest that the human brain spontaneously extracts the presence and type of others’ social interactions, but does so slowly, likely relying on iterative top-down computations.


2019 ◽  
Author(s):  
Artur Czeszumski ◽  
Sara Eustergerling ◽  
Anne Lang ◽  
David Menrath ◽  
Michael Gerstenberger ◽  
...  

Social interactions are a crucial part of human life. Understanding the neural underpinnings of social interactions is a challenging task that the hyperscanning method is trying to tackle in the last two decades. Here, we review the existing literature and evaluate the current state of the hyperscanning method. We review the type of methods (fMRI, M/EEG, fNIRS) that are used to measure brain activity from more than one participant simultaneously and their pros and cons for hyperscanning. Further, we discuss different types of analyses that are used to estimate between brain networks and synchronization. Lastly, we present results of hypercanning studies in the context of different cognitive functions and their relations to social interactions. All in all, we aim to comprehensively present methods, analyses, and results of the last twenty years of hyperscanning research.


2021 ◽  
pp. 014616722110482
Author(s):  
Laura Tian ◽  
Ravin Alaei ◽  
Nicholas O. Rule

Disclosing idiosyncratic preferences can help to broker new social interactions. For instance, strangers exchange music preferences to signal their identities, values, and preferences. Recognizing that people’s physical appearances guide their decisions about social engagement, we examined whether cues to people’s music preferences in their physical appearance and expressive poses help to guide social interaction. We found that perceivers could detect targets’ music preferences from photos of their bodies, heads, faces, eyes, and mouths (but not hair) and that the targets’ apparent traits (e.g., submissiveness, neatness) undergirded these judgments. Perceivers also desired to meet individuals who appeared to match their music preferences versus those who did not. Music preferences therefore seem to manifest in appearance, regulating interest in others and suggesting that one’s identity redundantly emerges across different types of cues. People may thus infer others’ music preferences to identify candidates for social bonding.


2010 ◽  
Vol 19 (4) ◽  
pp. 108-114 ◽  
Author(s):  
Lisa M. Mellman ◽  
Laura S. DeThorne ◽  
Julie A. Hengst

Abstract The present qualitative study was designed to examine augmentative and alternative communication (AAC) practices, particularly surrounding speech-generating devices (SGDs), in the classroom setting. We focused on three key child participants, their classroom teachers, and associated speech-language pathologists across three different schools. In addition to semi-structured interviews of all participants, six classroom observations per child were completed. Data were coded according to both pre-established and emergent themes. Four broad themes emerged: message-focused AAC use, social interactions within the classroom community, barriers to successful AAC-SGD use, and missed opportunities. Findings revealed a lack of SGD use in the classroom for two children as well as limited social interaction across all cases. We conclude by highlighting the pervasive sense of missed opportunities across these classroom observations and yet, at the same time, the striking resiliency of communicative effort in these cases.


1996 ◽  
Vol 12 (2) ◽  
pp. 124-131 ◽  
Author(s):  
Carlos Santoyo

The present paper deals with behavioral assessment of social interaction in natural settings. The design of observational systems that allow the identification of the direction, contents, quality and social agents involved in a social interchange is an aim of social interaction assessment and research. In the first part a description of a system of behavioral observation of social interaction is presented. This system permits the identification of the above mentioned aspects. Secondly a strategy for the behavioral assessment of social skills is described. This strategy is based on the consequences and effects of social interaction, and it is supported by three basic processes: social effectiveness, social responsiveness and reciprocity.


2021 ◽  
pp. 193896552110335
Author(s):  
John W. O’Neill ◽  
Jihwan Yeon

In recent years, short-term rental platforms in the lodging sector, including Airbnb, VRBO, and HomeAway, have received extensive attention and emerged as potentially alternative suppliers of services traditionally provided by established commercial accommodation providers, that is, hotels. Short-term rentals have dramatically increased the available supply of rooms for visitors to multiple international destinations, potentially siphoning demand away from hotels to short-term rental businesses. In a competitive market, an increase in supply with constant demand would negatively influence incumbent service providers. In this article, we examine the substitution effects of short-term rental supply on hotel performance in different cities around the world. Specifically, we comprehensively investigate the substitution effects of short-term rental supply on hotel performance based on hotel class, location type, and region. Furthermore, we segment the short-term rental supply based on its types of accommodations, that is, shared rooms, private rooms, and entire homes, and both examine and quantify the differential effects of these types of short-term rentals on different types of hotels. This study offers a comprehensive analysis regarding the impact of multiple short-term rental platforms on hotel performance and offers both conceptual and practical insights regarding the nature and extent of the effects that were identified.


2021 ◽  
pp. 0192513X2098555
Author(s):  
Shiv Ratan Agrawal

The present study was an attempt to identify the most prevailing means of digital devices and its impact as digital pollution on family and social interactions. Despite the obvious benefits of digital devices, in recent years researchers have taken more concern about its potential negative effect on human attitude and behavior, which in turn affects our society. A total of 613 usable responses were collected from Bangalore, India of excessive users of digital devices, such as a smartphone, computer/laptop, and television. All statistical analyses were performed using SPSS 23.0, AMOS 23.0, and SmartPLS 3.0. The results indicated that as the use of smartphone and computer/laptop increases, levels of digital pollution also increase, which in turn significantly triggers unfavorable impact on family and social interactions. The study indicated that digital pollution appears as an important predictor, which significantly affects social interaction unfavorably. The present study explored the various critical dimensions within this domain and delineated gaps in our knowledge of digital pollution. It was found that smartphones are more responsible for digital pollution among all the identified digital devices, followed by computer/laptop.


Author(s):  
Banita Lal ◽  
Yogesh K. Dwivedi ◽  
Markus Haag

AbstractWith the overnight growth in Working from Home (WFH) owing to the pandemic, organisations and their employees have had to adapt work-related processes and practices quickly with a huge reliance upon technology. Everyday activities such as social interactions with colleagues must therefore be reconsidered. Existing literature emphasises that social interactions, typically conducted in the traditional workplace, are a fundamental feature of social life and shape employees’ experience of work. This experience is completely removed for many employees due to the pandemic and, presently, there is a lack of knowledge on how individuals maintain social interactions with colleagues via technology when working from home. Given that a lack of social interaction can lead to social isolation and other negative repercussions, this study aims to contribute to the existing body of literature on remote working by highlighting employees’ experiences and practices around social interaction with colleagues. This study takes an interpretivist and qualitative approach utilising the diary-keeping technique to collect data from twenty-nine individuals who had started to work from home on a full-time basis as a result of the pandemic. The study explores how participants conduct social interactions using different technology platforms and how such interactions are embedded in their working lives. The findings highlight the difficulty in maintaining social interactions via technology such as the absence of cues and emotional intelligence, as well as highlighting numerous other factors such as job uncertainty, increased workloads and heavy usage of technology that affect their work lives. The study also highlights that despite the negative experiences relating to working from home, some participants are apprehensive about returning to work in the traditional office place where social interactions may actually be perceived as a distraction. The main contribution of our study is to highlight that a variety of perceptions and feelings of how work has changed via an increased use of digital media while working from home exists and that organisations need to be aware of these differences so that they can be managed in a contextualised manner, thus increasing both the efficiency and effectiveness of working from home.


2000 ◽  
Vol 5 (3) ◽  
pp. 139-141
Author(s):  
Sally Beveridge ◽  
Sue Pearson

The three articles from Volume 14 that are reviewed here are linked by a common theme: the social interactions of children with special educational needs. The countries involved, the target group of pupils and the methodology vary but each one draws attention to the complexities of the social dimension of inclusion and suggest that physical proximity alone does not ensure positive social interaction.


Sign in / Sign up

Export Citation Format

Share Document