Behavioral Correlates of the Muzak Experience

The current work seeks to characterize a unique genre of music, elevator music (Muzak), using behavioral crowd-sourcing data from Amazon Mechanical Turk. Participants rated excerpts of elevator music along with more rewarding genres of music for pleasure, valence, familiarity, and recognition. Our results demonstrate that elevator music is rated as neutrally pleasurable, with high valence, and highly familiar. Data collection is ongoing, and future experiments use computational models of music to tease apart the neutral effects of elevator music listening. Our results have practical significance in that they may provide a potential control musical stimulus to be used with self-selected rewarding music.

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Does hotel cleanliness correlate with surfaces guests contact?

International Journal of Contemporary Hospitality Management ◽

10.1108/ijchm-02-2018-0105 ◽

2019 ◽

Vol 31 (7) ◽

pp. 2933-2950 ◽

Cited By ~ 2

Author(s):

Haeik Park ◽

Sheryl Fried Kline ◽

Jooho Kim ◽

Barbara Almanza ◽

Jing Ma

Keyword(s):

Data Collection ◽

Empirical Data ◽

Design Methodology ◽

Mechanical Turk ◽

Amazon Mechanical Turk ◽

Data Sets ◽

Holistic View ◽

Content Type ◽

Public Areas ◽

Collection Methods

Purpose This study aims to strengthen implications about hotel cleaning outcomes by comparing guests’ perception of the amount of contact they have with cleanliness of hotel surfaces. Design/methodology/approach This study used two data-collection methods, a survey and an adenosine triphosphate (ATP) test. Data were collected from recent hotel guests using Amazon Mechanical Turk. Guests were asked to identify hotel surfaces that they touch most frequently. Actual hotel cleanliness was measured using empirical data collected with ATP meters. The two data sets were used to compare guests’ perceptions about the amount of contact they have with actual cleanliness measurements of those hotel surfaces. Findings This study found that amount of guest contact was related to cleanliness of surfaces in guestrooms. Significant differences were found in guest perception between high- and low-touch areas and between guestrooms and hotel public areas. More high-touch areas and higher ATP readings were found in guestrooms than in hotel public areas. Originality/value To the best of the authors’ knowledge this study is the first to compare guest contact with hotel surfaces to a scientific measure of hotel cleanliness. In addition, this study is unique because it assesses guest contact and cleanliness of public areas to provide a holistic view of hotel-cleaning needs. The study offers industry empirically based results from guest perception and scientifically based data that can be used to improve hotel housekeeping programs.

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Crowdsourcing a Normative Natural Language Dataset: A Comparison of Amazon Mechanical Turk and In-Lab Data Collection

Journal of Medical Internet Research ◽

10.2196/jmir.2620 ◽

2013 ◽

Vol 15 (5) ◽

pp. e100 ◽

Cited By ~ 32

Author(s):

Daniel R Saunders ◽

Peter J Bex ◽

Russell L Woods

Keyword(s):

Data Collection ◽

Natural Language ◽

Mechanical Turk ◽

Amazon Mechanical Turk

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Crowd-sourcing (who, why and what)

International Journal of Crowd Science ◽

10.1108/ijcs-07-2017-0005 ◽

2018 ◽

Vol 2 (1) ◽

pp. 27-41 ◽

Cited By ~ 3

Author(s):

Henry Oluchukwu Ikediego ◽

Mustafa Ilkan ◽

A. Mohammed Abubakar ◽

Festus Victor Bekun

Keyword(s):

Problem Solving ◽

Design Methodology ◽

Mechanical Turk ◽

Amazon Mechanical Turk ◽

Crowd Sourcing ◽

Content Type ◽

Internet Age ◽

The Future ◽

Part Time ◽

Work Model

Purpose There is growing interest in innovative online problem-solving models such as crowdsourcing to serve individuals, firms and the society as a whole. Crowdsourcing is the combination of efforts from various sets of individuals who are either volunteering or working part-time for socioeconomic production, basically in the cyber world. This hybrid work model is already in use by businesses and entrepreneurs; some of the platforms include Amazon mechanical Turk, 99designs, Hit RECORD and Design Crowd. Design/methodology/approach Much has been parleyed and published, and this is primarily because of the efficient socioeconomic potentials crowdsourcing offers. Findings This paper addressed the following three questions to help have a better understanding of crowdsourcing: who can perform crowdsourcing? why it is relevant to crowdsource in this present proliferated internet age and if there are going to be some changes in the future and the last but not the least what can be done to promote it in the society? Originality/value This paper discusses the three W’s and concludes with challenges facing the crowdsourcing work model.

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