Using Social Influence for Motivating Customers to Generate and Share Feedback
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A combination of high tech environments and social influence concepts holds great potential to positively effect behaviors and attitudes of individuals. Drawing upon socio-psychological theories, this study explores how social influence design principles change customer engagement in sharing feedback. For that purpose, an information system consisting of social influence design principles was implemented on situated displays and examined with 77 Twitter users. The results reveal interplay between the design principles and their capacity to explain 52% of the variance in perceived persuasiveness of the system, which can further predict 40% of the variance in behavioral intention of participants to provide feedback through the system in the future. The findings could be instrumental in progress towards a richer understanding of how to fur-ther harness social influence for customer engagement through socio-technical environments and how it effects the development of novel persuasive systems.
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The document discusses concepts related to transforming systems through socially influencing design. It discusses how systems can be mediated, algorithmically moderated, and use dynamic design and content to influence user behavior and participation in a persuasive but ethical manner. Key aspects discussed include moderation, intended vs unintended outcomes, and avoiding unintended negative consequences like backfiring or surprises. The goal is to advance understanding of computer-supported influence and transformation.
MIT Media Lab City Science Transforming Cities
The document discusses transforming cities through technology and algorithms to empower sustainable change. It addresses topics like mediated user behavior and content, persuasive design, moderation, ethics, and the intended and unintended consequences of interventions. Dynamic content and architecture are proposed to facilitate recognition, involvement and cooperation among citizens.
Transforming Wellbeing Theory: Empowering Sustainable Change
Majority of global problems and business challenges are byproducts of poor human attitude and behavior. Communities, societies, businesses, and organizations, basically everyone needs help with transformations. People often tend to perceive changes as something difficult, impossible, and mystical, thus are willing to avoid them. That attitude naturally leads to poorer decisions and consequent behavioral outcomes. This science-driven tutorial demystifies transformation by introducing:
Transforming Wellbeing Theory (TWT) — that explains the essentials of and inevitable necessity for transformation,
Typology of Change — that clarifies the variety of different changes, and
Transforming Framework — that provides 8 (eight) applicable tools for bending technological innovations with human nature to empower sustainable changes at scale.
Due to its scientific richness and practical nature, this transforming tutorial is applicable in many essential contexts, including wellbeing, health, innovation, leadership, autonomy, commercialization, education, diversity, culture, sustainability, dwelling, equality, social change, governance, automation, emergency, management, marketing, art, safety, ecology, and economy.
Designing Better Lives and Succeeding Businesses
Have you ever tried to change something in your business or yourself? Most of us strive for better performing companies and improved lives. However, we rarely get to celebrate victories of really transforming our habits, behaviors, and thoughts, thus changing our lives and businesses for good. This inspiring talk blends science and practice to help gaining richer understanding on how transformation actually works and what applicable tools are available for designing sustainable changes. It helps realizing the nature of business and life-changing transformations, experiencing your own personal paradigm shifts, learning to address real-life challenges, and seeing the end of all failed transformations.
Transforming Theory & Practice: 8 Applicable Tools
Transforming Toolset contains 8 practical tools that ensure every positive transformation gains success! Each tool is scientifically grounded and tailored for businesses to apply immediately.
University of Technology Sydney Startups
PERMANENTLY SHIFTING HUMAN BEHAVIOR AND ATTITUDE
In this session, you will learn 8 transforming tools that you will be able to apply immediately to any of your challenges related to human behavior and attitude.
Have you ever tried to change something in yourself or others? How many times you have had a New Year’s resolution that succeeds? Most of us strive for better lives and try our best to achieve changes. However, we rarely get to celebrate victories in really transforming our habits, behaviors, and thoughts, thus changing our lives and businesses for good.
Introduction to the Theory of Transforming Wellbeing
Theory of Transforming Wellbeing (TTW) is emerging as an inevitable response to the ever-growing imbalance in our lives across the globe. Over the decades, we have been advancing technologies to make our lives better. The fundamental question still remains: with all the evolving innovations, are we gaining decent success in achieving happier and more sustainable societies? Every crucial domain of our lives continuously provides evidence of how things are getting misbalanced despite us making huge progress in building increasingly capable technological innovations, such as artificial intelligence, blockchain, augmented reality, autonomous vehicles, and drones, just to name a few. The TTW advances scientific knowledge and its practical applications to transform lives. Due to its strong fundament that intertwines technological innovations with human nature, the theory is applicable in many essential life contexts, including health, education, sustainability, equality, governance, safety, emergency, management, marketing, ecology, economy, and dwelling.
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Artificial Intelligence as a Catalyst for Unleashing Human Potential
Artificial Intelligence as a Catalyst for Unleashing Human Potential
Human Artificial Intelligence for Hyper-Performance in Education
Human Artificial Intelligence for Hyper-Performance in Education
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Human Artificial Intelligence for Hyper-Performance
Hyper-Performing Cities with Human Artificial Intelligence
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Technology Design for Transforming Cities and Social Wellbeing
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Transforming Organizational Hyper-Performance with Artificial Intelligence
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Master Organizational Change - Transformation Mastery
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Framework TRANSFORMS.ME | UX Psychology Global Community | Online Masterclass
Framework TRANSFORMS.ME | UX Psychology Global Community | Online Masterclass
Case - The Littery | Transforming Litter into Lottery Tickets | TRANSFORMS.ME
Case - The Littery | Transforming Litter into Lottery Tickets | TRANSFORMS.ME
Transforming Cities: Designing Socially Empowering Infrastructure
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Business Transformation for CEOs at Station F - Worlds Biggest Startup Campus
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Mastering Transformation - Massachusetts Institute of Technology (MIT)
Mastering Transformation - Massachusetts Institute of Technology (MIT)
Transforming Wellbeing Theory: Empowering Sustainable Change
Transforming Wellbeing Theory: Empowering Sustainable Change
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Transforming Theory & Practice: 8 Applicable Tools
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Mites,Slug,Snail_Infesting agricultural crops.pdf
Order : Trombidiformes (Acarina) Class : Arachnida
Mites normally feed on the undersurface of the leaves but the symptoms are more easily seen on the uppersurface.
Tetranychids produce blotching (Spots) on the leaf-surface.
Tarsonemids and Eriophyids produce distortion (twist), puckering (Folds) or stunting (Short) of leaves.
Eriophyids produce distinct galls or blisters (fluid-filled sac in the outer layer)
seed production, Nursery & Gardening.pdf
This presentation offers a general idea of the structure of seed, seed production, management of seeds and its allied technologies. It also offers the concept of gene erosion and the practices used to control it. Nursery and gardening have been widely explored along with their importance in the related domain.
Post translation modification by Suyash Garg
overview of PTM helps to the students who wants to clear their basics about it.
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Helping farmers all across India through our latest technologies of modern farming like drones for irrigation and best pest control For more visit : https://www.hariyalikart.com/case-study
JAMES WEBB STUDY THE MASSIVE BLACK HOLE SEEDS
The pathway(s) to seeding the massive black holes (MBHs) that exist at the heart of galaxies in the present and distant Universe remains an unsolved problem. Here we categorise, describe and quantitatively discuss the formation pathways of both light and heavy seeds. We emphasise that the most recent computational models suggest that rather than a bimodal-like mass spectrum between light and heavy seeds with light at one end and heavy at the other that instead a continuum exists. Light seeds being more ubiquitous and the heavier seeds becoming less and less abundant due the rarer environmental conditions required for their formation. We therefore examine the different mechanisms that give rise to different seed mass spectrums. We show how and why the mechanisms that produce the heaviest seeds are also among the rarest events in the Universe and are hence extremely unlikely to be the seeds for the vast majority of the MBH population. We quantify, within the limits of the current large uncertainties in the seeding processes, the expected number densities of the seed mass spectrum. We argue that light seeds must be at least 103 to 105 times more numerous than heavy seeds to explain the MBH population as a whole. Based on our current understanding of the seed population this makes heavy seeds (Mseed > 103 M⊙) a significantly more likely pathway given that heavy seeds have an abundance pattern than is close to and likely in excess of 10−4 compared to light seeds. Finally, we examine the current state-of-the-art in numerical calculations and recent observations and plot a path forward for near-future advances in both domains.
Compositions of iron-meteorite parent bodies constrainthe structure of the pr...
Magmatic iron-meteorite parent bodies are the earliest planetesimals in the Solar System,and they preserve information about conditions and planet-forming processes in thesolar nebula. In this study, we include comprehensive elemental compositions andfractional-crystallization modeling for iron meteorites from the cores of five differenti-ated asteroids from the inner Solar System. Together with previous results of metalliccores from the outer Solar System, we conclude that asteroidal cores from the outerSolar System have smaller sizes, elevated siderophile-element abundances, and simplercrystallization processes than those from the inner Solar System. These differences arerelated to the formation locations of the parent asteroids because the solar protoplane-tary disk varied in redox conditions, elemental distributions, and dynamics at differentheliocentric distances. Using highly siderophile-element data from iron meteorites, wereconstruct the distribution of calcium-aluminum-rich inclusions (CAIs) across theprotoplanetary disk within the first million years of Solar-System history. CAIs, the firstsolids to condense in the Solar System, formed close to the Sun. They were, however,concentrated within the outer disk and depleted within the inner disk. Future modelsof the structure and evolution of the protoplanetary disk should account for this dis-tribution pattern of CAIs.
Physics Investigatory Project on transformers. Class 12th
Physics investigatory project on transformers with required details for 12thes. with index, theory, types of transformers (with relevant images), procedure, sources of error, aim n apparatus along with bibliography🗃️📜. Please try to add your own imagination rather than just copy paste... Hope you all guys friends n juniors' like it. peace out✌🏻✌🏻
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Mapping the Growth of Supermassive Black Holes as a Function of Galaxy Stella...
The growth of supermassive black holes is strongly linked to their galaxies. It has been shown that the population
mean black hole accretion rate (BHAR) primarily correlates with the galaxy stellar mass (Må) and redshift for the
general galaxy population. This work aims to provide the best measurements of BHAR as a function of Må and
redshift over ranges of 109.5 < Må < 1012 Me and z < 4. We compile an unprecedentedly large sample with 8000
active galactic nuclei (AGNs) and 1.3 million normal galaxies from nine high-quality survey fields following a
wedding cake design. We further develop a semiparametric Bayesian method that can reasonably estimate BHAR
and the corresponding uncertainties, even for sparsely populated regions in the parameter space. BHAR is
constrained by X-ray surveys sampling the AGN accretion power and UV-to-infrared multiwavelength surveys
sampling the galaxy population. Our results can independently predict the X-ray luminosity function (XLF) from
the galaxy stellar mass function (SMF), and the prediction is consistent with the observed XLF. We also try adding
external constraints from the observed SMF and XLF. We further measure BHAR for star-forming and quiescent
galaxies and show that star-forming BHAR is generally larger than or at least comparable to the quiescent BHAR.
Unified Astronomy Thesaurus concepts: Supermassive black holes (1663); X-ray active galactic nuclei (2035);
Galaxies (573)
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SDSS1335+0728: The awakening of a ∼ 106M⊙ black hole⋆
Context. The early-type galaxy SDSS J133519.91+072807.4 (hereafter SDSS1335+0728), which had exhibited no prior optical variations during the preceding two decades, began showing significant nuclear variability in the Zwicky Transient Facility (ZTF) alert stream from December 2019 (as ZTF19acnskyy). This variability behaviour, coupled with the host-galaxy properties, suggests that SDSS1335+0728 hosts a ∼ 106M⊙ black hole (BH) that is currently in the process of ‘turning on’. Aims. We present a multi-wavelength photometric analysis and spectroscopic follow-up performed with the aim of better understanding the origin of the nuclear variations detected in SDSS1335+0728. Methods. We used archival photometry (from WISE, 2MASS, SDSS, GALEX, eROSITA) and spectroscopic data (from SDSS and LAMOST) to study the state of SDSS1335+0728 prior to December 2019, and new observations from Swift, SOAR/Goodman, VLT/X-shooter, and Keck/LRIS taken after its turn-on to characterise its current state. We analysed the variability of SDSS1335+0728 in the X-ray/UV/optical/mid-infrared range, modelled its spectral energy distribution prior to and after December 2019, and studied the evolution of its UV/optical spectra. Results. From our multi-wavelength photometric analysis, we find that: (a) since 2021, the UV flux (from Swift/UVOT observations) is four times brighter than the flux reported by GALEX in 2004; (b) since June 2022, the mid-infrared flux has risen more than two times, and the W1−W2 WISE colour has become redder; and (c) since February 2024, the source has begun showing X-ray emission. From our spectroscopic follow-up, we see that (i) the narrow emission line ratios are now consistent with a more energetic ionising continuum; (ii) broad emission lines are not detected; and (iii) the [OIII] line increased its flux ∼ 3.6 years after the first ZTF alert, which implies a relatively compact narrow-line-emitting region. Conclusions. We conclude that the variations observed in SDSS1335+0728 could be either explained by a ∼ 106M⊙ AGN that is just turning on or by an exotic tidal disruption event (TDE). If the former is true, SDSS1335+0728 is one of the strongest cases of an AGNobserved in the process of activating. If the latter were found to be the case, it would correspond to the longest and faintest TDE ever observed (or another class of still unknown nuclear transient). Future observations of SDSS1335+0728 are crucial to further understand its behaviour. Key words. galaxies: active– accretion, accretion discs– galaxies: individual: SDSS J133519.91+072807.4
Holsinger, Bruce W. - Music, body and desire in medieval culture [2001].pdf
Music and Medieval History
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Quality assurance B.pharm 6th semester BP606T UNIT 5
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Hariyalikart Case Study of helping farmers in Bihar
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Compositions of iron-meteorite parent bodies constrainthe structure of the pr...
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Physics Investigatory Project on transformers. Class 12th
Physics Investigatory Project on transformers. Class 12th
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Mapping the Growth of Supermassive Black Holes as a Function of Galaxy Stella...
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SDSS1335+0728: The awakening of a ∼ 106M⊙ black hole⋆
SDSS1335+0728: The awakening of a ∼ 106M⊙ black hole⋆
Nutaceuticsls herbal drug technology CVS, cancer.pptx
Nutaceuticsls herbal drug technology CVS, cancer.pptx
Holsinger, Bruce W. - Music, body and desire in medieval culture [2001].pdf
Holsinger, Bruce W. - Music, body and desire in medieval culture [2001].pdf
Using Social Influence for Motivating Customers to Generate and Share Feedback
- 3. β = 0.42 ***" (.20)" CT (25%)! Competition! BI (40%)! Behavioral Intention! SL! Social! Learning! CR (39%)! Cooperation! SC (17%)! Social Comparison! PP (52%)! Perceived Persuasiveness! β = 0.41 **" NI (35%)! Normative! Influence! SF! Social Facilitation! β = 0.59 ***" RE (31%)! Recognition! β = 0.39 ***" (.23)" β = 0.50 ***" β = 0.30 ***" (.14)" β = 0.63 ***" β = 0.30 ** (.15)" β = 0.56 ***" β = 0.41 ***" (.19)"
- 5. Feedback Sharing Engagement Social Influence Public Screens Twitter
- 12. Cooperation
- 13. Competition
- 14. Recognition
- 26. Recognition
- 29. Social Facilitation Cooperation Competition Recognition
- 30. Normative Influence Social Facilitation Cooperation Competition Recognition
- 31. Social Comparison Normative Influence Social Facilitation Cooperation Competition Recognition
- 32. Social Learning Social Comparison Normative Influence Social Facilitation Cooperation Competition Recognition
- 33. β = 0.42 ***" (.20)" CT (25%)! Competition! BI (40%)! Behavioral Intention! SL! Social! Learning! CR (39%)! Cooperation! SC (17%)! Social Comparison! PP (52%)! Perceived Persuasiveness! β = 0.41 **" NI (35%)! Normative! Influence! SF! Social Facilitation! β = 0.59 ***" RE (31%)! Recognition! β = 0.39 ***" (.23)" β = 0.50 ***" β = 0.30 ***" (.14)" β = 0.63 ***" β = 0.30 ** (.15)" β = 0.56 ***" β = 0.41 ***" (.19)" CR SF NI RE SL SC CT
- 34. PP (52%)! Perceived Persuasiveness! BI (40%)! Behavioral Intention! β = 0.41 **" β = 0.39 ***" (.23)" β = 0.59 ***" β = 0.50 ***" β = 0.30 ***" (.14)" β = 0.63 ***" β = 0.30 ** (.15)" β = 0.42 ***" (.20)" β = 0.56 ***" β = 0.41 ***" (.19)" CR SF NI RE SL SC CT
- 35. PP (52%)! Perceived Persuasiveness! BI (40%)! Behavioral Intention! CR SF NI RE SL SC CT