Personality trait attributions to voice mail user interfaces

Chin, John P.

doi:10.1145/257089.257305

Cited by 3 publications

(5 citation statements)

References 4 publications

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“…Research in Human-Machine Interaction investigated the role of personality perception in the case of synthetic speech [6], [104], [105], [106], [107], artificial agents [108], [109], [110], [111], [112], [113] and robots [114], [115], [116], [117], [118], [119], [120], [121].…”

Section: Automatic Personality Synthesismentioning

confidence: 99%

“…The results show that it is actually possible to stimulate the perception of desired personality traits. The evaluation in [107], probably the earliest attempt of its kind, shows that 50 assessors (25 expert and 25 naïve raters) consistently assign the same traits (practical, intelligent,courteous, etc.) to spoken messages adopted in voice mail systems.…”

Section: Speech Based Apsmentioning

confidence: 99%

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A Survey of Personality Computing

Vinciarelli

Mohammadi

2014

IEEE Trans. Affective Comput.

440

309

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Abstract-Personality is a psychological construct aimed at explaining the wide variety of human behaviors in terms of a few, stable and measurable individual characteristics. In this respect, any technology involving understanding, prediction and synthesis of human behavior is likely to benefit from Personality Computing approaches, i.e. from technologies capable of dealing with human personality. This paper is a survey of such technologies and it aims at providing not only a solid knowledge base about the state-of-the-art, but also a conceptual model underlying the three main problems addressed in the literature, namely Automatic Personality Recognition (inference of the true personality of an individual from behavioral evidence), Automatic Personality Perception (inference of personality others attribute to an individual based on her observable behavior) and Automatic Personality Synthesis (generation of artificial personalities via embodied agents). Furthermore, the article highlights the issues still open in the field and identifies potential application areas.

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Section: Automatic Personality Synthesismentioning

confidence: 99%

Section: Speech Based Apsmentioning

confidence: 99%

A Survey of Personality Computing

Vinciarelli

Mohammadi

2014

IEEE Trans. Affective Comput.

440

309

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“…Psychologists show that vocal behaviour is the individual channel that covariates most with whole person judgments like the attribution of personality traits (compared to facial expressions and bodily postures) [2]. Hence, it is not surprising to observe that previous APS work often aims at personality-coloured speech synthesis, both as a single modality [6], [7], [8], [9], [10] and in conjunction with other behavioural channels [11], [12], [13], [14], [15], [16].…”

Section: Speech-based Automatic Personality Synthesismentioning

confidence: 99%

Section: Speech-based Automatic Personality Synthesismentioning

confidence: 99%

“…The earliest observations showing that human listeners tend to attribute personality traits to synthetic voices were proposed in [7]. However, no attempt was made in [7] to manipulate speech parameters with the goal of influencing the personality traits attributed to a synthetic voice. The experiments in [6], [8] show that increasing pitch, frequency range and speaking rate tends to lead to the attribution of higher Extraversion scores.…”

Section: Speech-based Automatic Personality Synthesismentioning

confidence: 99%

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Speech Synthesis for the Generation of Artificial Personality

Aylett

Vinciarelli

Wester

2020

IEEE Trans. Affective Comput.

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A synthetic voice personifies the system using it. In this work we examine the impact text content, voice quality and synthesis system have on the perceived personality of two synthetic voices. Subjects rated synthetic utterances based on the Big-Five personality traits and naturalness. The naturalness rating of synthesis output did not correlate significantly with any Big-Five characteristic except for a marginal correlation with openness. Although text content is dominant in personality judgments, results showed that voice quality change implemented using a unit selection synthesis system significantly affected the perception of the Big-Five, for example tense voice being associated with being disagreeable and lax voice with lower conscientiousness. In addition a comparison between a parametric implementation and unit selection implementation of the same voices showed that parametric voices were rated as significantly less neurotic than both the text alone and the unit selection system, while the unit selection was rated as more open than both the text alone and the parametric system. The results have implications for synthesis voice and system type selection for applications such as personal assistants and embodied conversational agents where developing an emotional relationship with the user, or developing a branding experience is important.

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Voice Messaging User Interface

Blanchard

Lewis

Human Factors and Voice Interactive Systems

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Personality trait attributions to voice mail user interfaces

Cited by 3 publications

References 4 publications

A Survey of Personality Computing

A Survey of Personality Computing

Speech Synthesis for the Generation of Artificial Personality

Voice Messaging User Interface

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