Developing a Personality Model for Speech-based Conversational Agents Using the Psycholexical Approach

We present the first systematic analysis of personality dimensions developed specifically to describe the personality of speech-based conversational agents. Following the psycholexical approach from psychology, we first report on a new multi-method approach to collect potentially descriptive adjectives from 1) a free description task in an online survey (228 unique descriptors), 2) an interaction task in the lab (176 unique descriptors), and 3) a text analysis of 30,000 online reviews of conversational agents (Alexa, Google Assistant, Cortana) (383 unique descriptors). We aggregate the results into a set of 349 adjectives, which are then rated by 744 people in an online survey. A factor analysis reveals that the commonly used Big Five model for human personality does not adequately describe agent personality. As an initial step to developing a personality model, we propose alternative dimensions and discuss implications for the design of agent personalities, personality-aware personalisation, and future research.Comment: 14 pages, 2 figures, 3 tables, CHI'2

The Validity and Structure of Culture-Level Personality Scores: Data From Ratings of Young Adolescents

We examined properties of culture-level personality traits in ratings of targets (N=5,109) ages 12 to 17 in 24 cultures. Aggregate scores were generalizable across gender, age, and relationship groups and showed convergence with culture-level scores from previous studies of self-reports and observer ratings of adults, but they were unrelated to national character stereotypes. Trait profiles also showed cross-study agreement within most cultures, 8 of which had not previously been studied. Multidimensional scaling showed that Western and non-Western cultures clustered along a dimension related to Extraversion. A culture-level factor analysis replicated earlier findings of a broad Extraversion factor but generally resembled the factor structure found in individuals. Continued analysis of aggregate personality scores is warranted. This article is a US Government work and is in the public domain in the USA.Fil: McCrae, Robert R.. National Institute on Ageing; CanadáFil: Terracciano, Antonio. National Institute on Ageing; CanadáFil: De Fruyt, Filip. University of Ghent; BélgicaFil: De Bolle, Marleen. University of Ghent; BélgicaFil: Gelfand, Michele J.. University of Maryland; Estados UnidosFil: Costa Jr., Paul T.. National Institute on Ageing; CanadáFil: Klinkosz, Waldemar. The John Paul II Catholic University of Lublin; PoloniaFil: Knežević, Goran. Belgrade University; SerbiaFil: Leibovich de Figueroa, Nora. Universidad de Buenos Aires; ArgentinaFil: Löckenhoff, Corinna E.. Cornell University; Estados UnidosFil: Martin, Thomas A.. Susquehanna University; Estados UnidosFil: Marušić, Iris. Institute for Social Research; CroaciaFil: Mastor, Khairul Anwar. Universiti Kebangsaan Malaysia; MalasiaFil: Nakazato, Katsuharu. Iwate Prefectural University; AfganistánFil: Nansubuga, Florence. Makerere University; UgandaFil: Porrata, Jose. No especifíca;Fil: Purić, Danka. Belgrade University; SerbiaFil: Realo, aAnu. University of Tartu; EstoniaFil: Reátegui, Norma. Universidad Peruana Cayetano Heredia; PerúFil: Rolland, Jean Pierre. Universite Paris Ouest Nanterre la Defense; FranciaFil: Schmidt, Vanina Ines. Universidad de Buenos Aires. Facultad de Psicología. Instituto de Investigaciones; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Sekowski, Andrzej. The John Paul II Catholic University of Lublin; PoloniaFil: Shakespeare Finch, Jane. Queensland University of Technology; AustraliaFil: Shimonaka, Yoshiko. Bunkyo Gakuin University; JapónFil: Simonetti, Franco. Pontificia Universidad Católica de Chile; ChileFil: Siuta, Jerzy. Jagiellonian University;Fil: Szmigielska, Barbara. Jagiellonian University;Fil: Vanno, Vitanya. Srinakharinwirot University; TailandiaFil: Wang, Lei. Peking University; ChinaFil: Yik, Michelle. The Hong Kong University of Science and Technology; Hong Kon