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Tourist Non-Verbal Preferences Dataset
Data Science and Analytics
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About
This dataset captures insights into the non-verbal communication preferences of tourists, offering a valuable resource for understanding diverse customer interactions. Nonverbal communication encompasses a wide array of signals, including eye contact, facial expressions, gestures, posture, body language, social cues, spatial distance (proxemics), physical appearance, voice characteristics (paralanguage), and touch (haptics). It also considers the use of time (chronemics) and various aspects of eye behaviour (oculesics) [1]. This collection is particularly useful for professionals in tourism, hospitality, and customer service seeking to enhance their engagement with international visitors by understanding subtle communication nuances.
Columns
- sex: The gender of the client, recorded as Female (F) or Male (M) [2].
- age: The age of the client, with values ranging from 24 to 81 years and a mean age of 47.3 [2, 3].
- country: The client's country of origin, including categories such as England, Canada, and various others [3].
- returning: A boolean indicator specifying if the client is a returning customer (true) or a new one (false) [3, 4].
- GImg1: Preferences regarding handshakes, categorised as 'likes', 'indifferent', or 'dislikes' [4].
- GImg2: Preferences regarding hugs, categorised as 'likes', 'indifferent', or 'dislikes' [4].
- GImg3: Preferences regarding kisses, categorised as 'likes', 'indifferent', or 'dislikes' [4, 5].
- PImg1: Preferences regarding a consent posture, categorised as 'likes' or 'indifferent' [5].
- PImg2: Preferences regarding an interest posture, typically 'likes' [5].
- PImg3: Preferences regarding a neutral posture, categorised as 'likes', 'dislikes', or 'indifferent' [5].
- PImg4: Preferences regarding a reflexive posture, categorised as 'likes', 'indifferent', or 'dislikes' [6].
- PImg5: Preferences regarding a negative posture, typically 'dislikes' [6].
- Tense - relaxed: An observed emotional climate score indicating relaxation levels (1 is very tensed, 10 is very relaxed), with a mean of 2.23 [6, 7].
- Authoritative -anarchic: An observed emotional climate score indicating authority levels (1 is very authoritative, 10 is very anarchic) [7].
- Hostile - friendly: An observed emotional climate score indicating friendliness levels (1 is very hostile, 10 is very friendly), with a mean of 2.23 [7, 8].
- TAudio1: Preferences regarding an authoritative tone of voice, categorised as 'A', 'B', or 'Other' indicating different levels of preference or indifference [8].
- TAudio2: Preferences regarding a sarcastic tone of voice, typically 'dislikes' or 'indifferent' [8].
- TAudio3: Preferences regarding a friendly tone of voice, typically 'dislikes' or 'indifferent' [8, 9].
- QAudio1: Preferences regarding spitting sounds, typically 'likes' or 'indifferent' [9].
- QAudio2: Preferences regarding humming sounds, typically 'dislikes' or 'indifferent' [9].
- QAudio3: Preferences regarding sighing sounds, typically 'dislikes' or 'indifferent' [9, 10].
- Proxemics: The preferred physical distance for the client, categorised by standard proxemic zones: A (intimate), B (personal), C (social), D (public) [10].
- Type of Client: A classification of the client type, with values ranging from 0 to 5 and a mean of 2.49 [10, 11].
Distribution
The dataset is provided in a CSV (Comma Separated Values) format [2, 12]. It has a file size of 10.39 kB and contains 23 distinct columns with data for 73 records or rows [2]. This tabular structure makes it straightforward to process and analyse.
Usage
This dataset is ideally suited for:
- Enhancing customer service training programmes in the tourism and hospitality sectors, especially for staff interacting with a diverse international clientele.
- Developing targeted marketing and communication strategies that respect cultural differences in non-verbal cues.
- Conducting behavioural research into human interaction, cross-cultural communication, and the psychology of tourism.
- Informing business development initiatives aimed at improving tourist satisfaction and loyalty through better interpersonal understanding.
Coverage
- Geographic: The data includes clients from various countries, with significant representation from England and Canada, alongside 30 other nations [3].
- Demographic: It covers a range of demographics based on sex (male/female) and age (24 to 81 years) [2, 3]. The dataset also distinguishes between returning and new customers [3, 4].
- Time Range: The specific time range over which the data was collected is not indicated in the provided information.
License
(CC BY-SA 4.0)
Who Can Use It
- Tourism and Hospitality Professionals: For improving guest experiences and staff cultural competency.
- Market Researchers: To segment tourists based on communication preferences and tailor outreach.
- Academic Researchers: Scholars in fields such as anthropology, sociology, psychology, and communication studies.
- Customer Experience Managers: To design more empathetic and effective service interactions.
- Cross-Cultural Trainers: To educate individuals and teams on international non-verbal etiquette.
Dataset Name Suggestions
- Tourist Non-Verbal Preferences Dataset
- Global Traveller Communication Study
- Non-Verbal Cues in Tourism
- International Tourist Behaviour Dataset
- Visitor Interaction Preferences
Attributes
Original Data Source: Tourist Non-Verbal Preferences Dataset
QUALITY