This article outlines a potential synergy between sustainability and well-being research. Currently aims within research focus on increasing well-being. First, is defined important concepts it highlighted, that is, aims, interdependencies, constraints, values balanced adaptive processes. It suggested positioning more clearly the framework can enhance role of sustainability; for example, in terms monitoring progress. In turn, outlined, guides second part article, illustrating how reciprocally...

Background. An important outcome from the debate on whether wellness equals happiness, is need of research focusing how psychological well-being might influence humans' ability to adapt changing environment and live in harmony. To get a detailed picture positive negative affect, current study employed affective profiles model which individuals are categorised into groups based either high low affect (self-fulfilling); (high affective); (low (self-destructive). The aims were (1) investigate...

Psychological constructs, such as emotions, thoughts, and attitudes are often measured by asking individuals to reply questions using closed-ended numerical rating scales. However, when people about their state of mind in a natural context ("How you?"), we receive open-ended answers words ("Fine happy!") not numbers ("7") or categories ("A lot"). Nevertheless, date it has been difficult objectively quantify responses questions. We develop an approach which the analyzed language processing...

The cognitive components of subjective well-being can be measured with the Satisfaction life scale (SWLS) and Harmony in (HILS), which both comprise five items each. aim this article is to abbreviate these scales examine their psychometric properties validity. Three datasets including test-retest data are used (N = 787; N 860; 343). two first were already collected, whereas third dataset included delivering three-item (SWLS-3; HILS-3) together (in random order) one shared instruction. last...

The age of COVID-19 calls for a different approach toward global well-being and flourishing through the transcendence suffering as advocated by existential positive psychology. In present study, we primarily explained what self-transcendence is why it represents most promising path human beings to flourish transformation in difficult uncertain world. After reviewing literature on experiences, concluded that model presented Frankl able integrate both characteristics associated with...

We show that using a recent break-through in artificial intelligence -transformers-, psychological assessments from text-responses can approach theoretical upper limits accuracy, converging with standard rating scales. Text-responses use people's primary form of communication -natural language- and have been suggested as more ecologically-valid response format than closed-ended scales dominate social science. However, previous language analysis techniques left gap between how accurately they...

The language that individuals use for expressing themselves contains rich psychological information. Recent significant advances in Natural Language Processing (NLP) and Deep Learning (DL), namely transformers, have resulted large performance gains tasks related to understanding natural language. However, these state-of-the-art methods not yet been made easily accessible psychology researchers, nor designed be optimal human-level analyses. This tutorial introduces text (https://r-text.org/),...

Abstract The Cantril Ladder is among the most widely administered subjective well-being measures; every year, it collected in 140+ countries Gallup World Poll and reported Happiness Report . measure asks respondents to evaluate their lives on a ladder from worst (bottom) best (top). Prior work found scores sensitive social comparison reflect one’s relative position income distribution. To understand this, we explored how interpret Ladder. We analyzed word responses 1581 UK adults tested...

Introduction. This study addresses the need to further contextualize research on well-being (e.g., Kjell, 2011) in terms of cross-cultural aspects personality traits among adolescents and by examining two different conceptualizations well-being: subjective (i.e., life satisfaction, positive negative affect) psychological relations with others, environmental mastery, self-acceptance, autonomy, personal growth, purpose). Methods. Iranian (N = 122, mean age 15.23 years) Swedish 109, 16.69 were...

Background Closed-ended rating scales are the most used response format for researchers and clinicians to quantify mental states, whereas in natural contexts people communicate with language. The reason using such is that they typically argued be more precise measuring constructs; however, respondents’ views as what best communicates states frequently ignored, which important making them comply assessment. Methods We assessed ( N = 304) degree of depression scales, descriptive words,...

Current speech encoding pipelines often rely on separate processing between text and audio, not fully leveraging the inherent overlap these modalities for understanding human communication. Language models excel at capturing semantic meaning from that can complement additional prosodic, emotional, acoustic cues speech. This work bridges gap by proposing WhiSPA (Whisper with Semantic-Psychological Alignment), a novel audio encoder trained contrastive student-teacher learning objective. Using...

Implicit motives, nonconscious needs that influence individuals' behaviors and shape their emotions, have been part of personality research for nearly a century but differ from traits. The implicit motive assessment is very resource-intensive, involving expert coding written stories about ambiguous pictures, has hampered research. Using large language models machine learning techniques, we aimed to create high-quality are easy researchers use. We trained code the need power, achievement,...

The language that individuals use for expressing themselves contains rich psychological information. Recent significant advances in Natural Language Processing (NLP) and Deep Learning (DL), namely transformers, have resulted large performance gains tasks related to understanding natural language. However, these state-of-the-art methods not yet been made easily accessible psychology researchers, nor designed be optimal human-level analyses. This tutorial introduces text (https://r-text.org/),...

In this narrative review, we survey recent empirical evaluations of AI-based language assessments and present a case for the technology large models to be poised changing standardized psychological assessment. Artificial intelligence has been undergoing purported “paradigm shift” initiated by new machine learning models, (e.g., BERT, LAMMA, that behind ChatGPT). These have led unprecedented accuracy over most computerized processing tasks, from web searches automatic translation question...

Cross-sectional and experimental research have shown that task-unrelated thoughts (i.e., mind wandering) relate to sleep disturbances, but there is little on whether this association generalizes the day-level other kinds of mentation. We employed a longitudinal daily diary design examine within-person between-person associations between three self-report instruments measuring wandering, maladaptive daydreaming (a condition characterized by having elaborate fantasy daydreams so insistent they...

Film clips, music, and self-referential statements (termed Velten, after their originator) have been successfully used to temporarily induce sadness happiness. However, there is little research on the effectiveness of these procedures combined, particularly in internet-based settings, whether Velten contribute alter mood beyond effect simple instructions close one's eyes enter targeted mood. In Study 1 (N = 106) we examined 80 (positive, negative, neutral-self, neutral-facts) create brief...

Different types of well-being are likely to be associated with different kinds behaviors. The first objective this study was, from a subjective perspective, examine whether harmony in life and satisfaction related differently cooperative behaviors depending on individuals’ social value orientation. second methodological language-based assessments called computational language (CLA), which enable respondents answer words that analyzed using natural processing, demonstrate stronger...

Abstract Background Accurate assessments of symptoms and illnesses are essential for health research clinical practice but face many challenges. The absence a single error-free measure is currently addressed by assessment methods involving experts reviewing several sources information to achieve more accurate or best-estimate assessment. Three bodies work spanning medicine, psychiatry, psychology propose similar methods: Expert Panel, the Best-Estimate Diagnosis, Longitudinal All Data (LEAD)...

We used a computational method to quantitatively investigate the relationship between personality and written narratives of life events. Agentic (i.e., self-directedness), communal cooperativeness), spiritual (self-transcendence) traits were special interest because they represent individual differences in intentional values goals, contrast temperament traits, which describe automatic responses emotional stimuli. also investigated pronouns most common relation constructs that significantly...

Abstract. Thinking about task-unrelated matters (mind wandering) is related to cognition and well-being. However, the relations between mind wandering other psychological variables may depend on whether former commence spontaneously or deliberately. The current two studies investigated psychometric properties of Spontaneous Deliberate Mind Wandering Scales (SDMWS; Carriere, Seli, & Smilek, 2013 ). Study 1 evaluated stability scales over 2 weeks ( N = 284 at Time 1), whereas 323) their...