Preface to the special issue on personality in personalized systems

Tkalčič, Marko; Quercia, Daniele; Graf, Sabine

doi:10.1007/s11257-016-9175-9

Cited by 10 publications

(4 citation statements)

References 17 publications

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“…There is growing interest in personalization to personality, as seen from the UMUAI 2016 special issue on “Personality in Personalized Systems” (Tkalčič et al. 2016) and the “Emotions and Personality in Personalized Systems” (EMPIRE) workshops. Research on personalization to personality has focused mainly in three domains: Persuasive Technology, Intelligent Tutoring Systems, and Recommender Systems.…”

Section: Related Workmentioning

confidence: 99%

A methodology for creating and validating psychological stories for conveying and measuring psychological traits

Smith

Dennis

Masthoff

et al. 2019

User Model User-Adap Inter

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Personality impacts all areas of our lives; it governs who we are and how we react to life’s challenges. Personalized systems that adapt to end users should take into account the user’s personality to perform well. Several methodologies (e.g. User-as-Wizard, indirect studies) that use personality adaptation require first for personality to be conveyed to the participant; this has few validated approaches. Furthermore, measuring personality is often time consuming, prone to response bias (e.g. using questionnaires) or data intensive (e.g. using behaviour or text mining). This paper presents a methodology for creating and validating stories to convey psychological traits and for using such stories with a personality slider scale to measure these traits. We present the validation of the scale and evaluate its reliability. To evidence the validity of the methodology, we outline studies where the stories and scale have been effectively applied (in recommender systems, intelligent tutoring systems, and persuasive systems).

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Section: Related Workmentioning

confidence: 99%

A methodology for creating and validating psychological stories for conveying and measuring psychological traits

Smith

Dennis

Masthoff

et al. 2019

User Model User-Adap Inter

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“…After analyzing empirical literature, Zmud concluded that individual differences are a significant force in determining the success of information systems and technology. Based upon these findings, extensive research has been conducted considering the impact of human factors, including the unique characteristics of the users, on the adoption and effectiveness of information technology [8][9][10][11]. Most of these studies have used the five-factor model (FFM) [12] to assess personal characteristics.…”

Section: Introductionmentioning

confidence: 99%

Personality Types as Moderators of the Acceptance of Information Technologies in Organizations: A Multi-Group Analysis in PLS-SEM

et al. 2019

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This study aims to examine the influence of personality types on the acceptance of information technologies at work. Based on the model of the five dominant personality traits and the unified theory of acceptance and use of technology, 155 users of Enterprise Resource Planning systems were examined in two Chilean organizations. A cluster analysis applied to personality traits identified three different types of personalities. Subsequently, a multi-group analysis in Partial Least Squares of the technology acceptance model detected statistically significant differences among these types of personalities. Specifically, although for all personality types, the intention to use technology is explained in more than 60 percent, the strength of the antecedent variables changes radically depending on the type of personality. These findings indicate that personality type plays an essential role as a moderator of technology acceptance at work. This study is one of the first attempts where personality types, instead of specific personality traits, have been associated with technology acceptance models. In it, we performed an analysis of statistically significant differences among the types. Its practical implications are to identify the personality type of employees and adapt the implementation of innovations accordingly. This can help organizations to implement technology successfully, which, in turn, contributes to their sustainability.

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“…Personality and emotion are important psychological constructs. While personality characteristics of humans are a predictable and stable measure that shapes human behaviors, emotions are shortterm a ective responses to a particular stimulus [179]. Both have been shown to in uence music tastes [72,154,159] and user requirements for MRS [70,74].…”

Section: Psychologically-inspired Music Recommendationmentioning

confidence: 99%

Current challenges and visions in music recommender systems research

Schedl

Zamani

Chen

et al. 2018

Int J Multimed Info Retr

259

155

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Music recommender systems (MRS) have experienced a boom in recent years, thanks to the emergence and success of online streaming services, which nowadays make available almost all music in the world at the user's ngertip. While today's MRS considerably help users to nd interesting music in these huge catalogs, MRS research is still facing substantial challenges. In particular when it comes to build, incorporate, and evaluate recommendation strategies that integrate information beyond simple user-item interactions or content-based descriptors, but dig deep into the very essence of listener needs, preferences, and intentions, MRS research becomes a big endeavor and related publications quite sparse. e purpose of this trends and survey article is twofold. We rst identify and shed light on what we believe are the most pressing challenges MRS research is facing, from both academic and industry perspectives. We review the state of the art towards solving these challenges and discuss its limitations. Second, we detail possible future directions and visions we contemplate for the further evolution of the eld. e article should therefore serve two purposes: giving the interested reader an overview of current challenges in MRS research and providing guidance for young researchers by identifying interesting, yet under-researched, directions in the eld.

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Preface to the special issue on personality in personalized systems

Cited by 10 publications

References 17 publications

A methodology for creating and validating psychological stories for conveying and measuring psychological traits

A methodology for creating and validating psychological stories for conveying and measuring psychological traits

Personality Types as Moderators of the Acceptance of Information Technologies in Organizations: A Multi-Group Analysis in PLS-SEM

Current challenges and visions in music recommender systems research

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