Review(s) of: Quiet: The power of introverts in a world that can't stop talking, by Susan Cain, Crown Publishers 2012, HB. RRP $32.95.

Quiet: The power of introverts in a world that can't stop talking [Book Review]

Attached to your smartphone? A dyadic perspective on perceived partner phubbing and attachment in long-term couple relationships

This paper presents a new multimodal dataset Moodo that can aid the development of affective music information retrieval systems. Moodo’s main novelties are a multimodal approach that links emotional and color perception to music and the inclusion of user context. Analysis of the dataset reveals notable differences in emotion-color associations and their valence-arousal ratings in non-music and music context. We also show differences in ratings of perceived and induced emotions, especially for those with perceived negative connotation, as well as the influence of genre and user context on perception of emotions. By applying an intermediate data fusion model, we demonstrate the importance of user profiles for predictive modeling in affective music information retrieval scenarios.

The Moodo dataset: Integrating user context with emotional and color perception of music for affective music information retrieval

The EMPIRE workshop attempts to provide some answers to the growing interest of the user modeling research community on the role of human factors, especially personality and emotions, on various aspects of user modeling. This second edition of the workshop has nine accepted papers.

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Preface: EMPIRE 2014 - 2nd Workshop on Emotions and Personality in Personalized Services

The study tested a model of first-year university students’ financial socialization focusing on parents as financial socialization agents and students’ present financial outcomes. Results from 395 ...

https://journals.sagepub.com/doi/pdf/10.1177/2167696819882178

Does Parental Financial Socialization for Emerging Adults Matter? The Case of Austrian and Slovene First-Year University Students:

We investigated the occurrence of selected types of problematic social media and mobile phone use in emerging adults, specifically social media and mobile phone overuse, phubbing, creeping, and catfishing. Contemporaneous relations with age, gender, and Big Five personality traits were examined. The participants comprised 459 Slovenian emerging adults, aged 18 to 29 years (68% female). The results suggest that problematic behaviors associated with social media and mobile phone use, with the exception of catfishing, are relatively common among young people. The examined behaviors were negatively related to age, and overuse of mobile phones, social media, and creeping were more prevalent in females than males. The Big Five personality traits, most notably high neuroticism and low conscientiousness, uniquely predicted problematic social media and mobile phone use, after accounting for age, gender, and time spent on social media. Mobile phone overuse and phubbing were also associated with high extraversion and low openness, while low agreeableness was related to creeping and catfishing.

Personal correlates of problematic types of social media and mobile phone use in emerging adults

The paper presents a new dataset of mood-dependent and color responses to music. The methodology of gath-ering user responses is described along with two new inter-faces for capturing emotional states: the MoodGraph and MoodStripe. An evaluation study showed both inter-faces have significant advantage over more traditional methods in terms of intuitiveness, usability and time complexity. The preliminary analysis of current data (over 6.000 responses) gives an interesting insight into participants’ emotional states and color associations, as well as relationships between musically perceived and induced emotions. We believe the size of the dataset, in-terfaces and multi-modal approach (connecting emo-tional, visual and auditory aspects of human perception) give a valuable contribution to current research.

Introducing a dataset of emotional and color responses to music

The paper presents a new dataset that captures the effect of mood on visual and auditory perception of music With an online survey, we have collected a dataset of over 6600 responses capturing users’ mood, emotions evoked and expressed by music and the perception of color with regard to emotions and music We describe the methodology of gathering the responses and present two new models for capturing users’ emotional states: the MoodGraph and MoodStripe Also, general research questions and goals, as well as possible future applications of the collected dataset, are being discussed

/pdf/gathering-a-dataset-of-multi-modal-mood-dependent-perceptual-4vs7a7pnk8.pdf

Gathering a Dataset of Multi-Modal Mood-Dependent Perceptual Responses to Music.

This study presents an evaluation of two interfaces for gathering user feedback in online surveys. We evaluated the intuitiveness, usability and time complexity of the proposed interfaces in comparison to the more standard approaches. Over 900 users first participated in an online survey exploring the influence of mood on their emotional responses to music and colors. We included several new interfaces in this survey, so after it was completed, users were asked to complete a second survey where they evaluated various aspects of the interfaces. Our analysis shows reduced time complexity and increased intuitiveness of the new interfaces, compared to standard approaches, resulting in lower mental difficulty and frustration of participants.

Mojca Poredoš

Papers

Does Parental Financial Socialization for Emerging Adults Matter? The Case of Austrian and Slovene First-Year University Students:

Personal correlates of problematic types of social media and mobile phone use in emerging adults

Introducing a dataset of emotional and color responses to music

Gathering a Dataset of Multi-Modal Mood-Dependent Perceptual Responses to Music.

Capturing the mood: Evaluation of the moodstripe and moodgraph interfaces