Software testing and Android applications: a large-scale empirical study

Abstract Persuasion success is often related to hard-to-measure characteristics, such as the way the persuader speaks. To examine how vocal tones impact persuasion in an online appeal, this research measures persuaders’ vocal tones in Kickstarter video pitches using novel audio mining technology. Connecting vocal tone dimensions with real-world funding outcomes offers insight into the impact of vocal tones on receivers’ actions. The core hypothesis of this paper is that a successful persuasion attempt is associated with vocal tones denoting (1) focus, (2) low stress, and (3) stable emotions. These three vocal tone dimensions—which are in line with the stereotype content model—matter because they allow receivers to make inferences about a persuader’s competence. The hypotheses are tested with a large-scale empirical study using Kickstarter data, which is then replicated in a different category. In addition, two controlled experiments provide evidence that perceptions of competence mediate the impact of the three vocal tones on persuasion attempt success. The results identify key indicators of persuasion attempt success and suggest a greater role for audio mining in academic consumer research.

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Large-Scale Software Testing Environment Using Cloud Computing Technology for Dependable Parallel and Distributed Systems

2010 Third International Conference on Software Testing, Verification, and Validation Workshops ◽

10.1109/icstw.2010.59 ◽

2010 ◽

Cited By ~ 24

Author(s):

Toshihiro Hanawa ◽

Takayuki Banzai ◽

Hitoshi Koizumi ◽

Ryo Kanbayashi ◽

Takayuki Imada ◽

...

Keyword(s):

Cloud Computing ◽

Distributed Systems ◽

Software Testing ◽

Large Scale ◽

Computing Technology ◽

Testing Environment

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The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study

IEEE Transactions on Software Engineering ◽

10.1109/tse.2022.3140868 ◽

2022 ◽

pp. 1-1

Author(s):

Emanuele Iannone ◽

Roberta Guadagni ◽

Filomena Ferrucci ◽

Andrea De Lucia ◽

Fabio Palomba

Keyword(s):

Empirical Study ◽

Large Scale ◽

Software Vulnerabilities

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An Empirical Study of a Large Scale Online Recommendation System

Web Technologies and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28121-6_2 ◽

2015 ◽

pp. 15-25

Author(s):

Huazheng Fu ◽

Kang Chen ◽

Jianbing Ding

Keyword(s):

Empirical Study ◽

Large Scale ◽

Recommendation System

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Topic in Music: An Empirical Study of Memorability, Openness, and Emotion in Mozart's String Quintet in C Major and Beethoven's String Quartet in A Minor

Music Perception An Interdisciplinary Journal ◽

10.2307/40285781 ◽

1998 ◽

Vol 16 (1) ◽

pp. 119-134 ◽

Cited By ~ 14

Author(s):

Carol L. Krumhansl

Keyword(s):

Empirical Study ◽

Real Time ◽

String Quartet ◽

Large Scale ◽

Musical Training ◽

Discourse Structure ◽

Musical Form ◽

Psychological Reality ◽

String Quintet ◽

A Minor

This study examines possible parallels between large-scale organization in music and discourse structure. Two experiments examine the psychological reality of topics in the first movements of W. A. Mozart's String Quintet No. 3 in C major, K. 515, and L. van Beethoven's String Quartet No. 15 in A minor, Op. 132. Listeners made real-time judgments on three continuous scales: memorability, openness, and amount of emotion. All three kinds of judgments could be accounted for by the topics identified in these pieces by Agawu (1991) independently of the listeners' musical training. The results showed hierarchies of topics. However, these differed for the three tasks and for the two pieces. The topics in the Mozart piece appear to function as a way of establishing the musical form, whereas the topics in the Beethoven piece are more strongly associated with emotional content.

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