Relevant bibliographies by topics / Trustworthine

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Trustworthine'

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Published: 9 March 2023
Last updated: 10 March 2023

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Journal articles on the topic "Trustworthine"

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Reiersen, Jon. "Drivers of trust and trustworthiness." International Journal of Social Economics 46, no. 1 (January 14, 2019): 2–17. http://dx.doi.org/10.1108/ijse-01-2018-0025.

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Purpose The purpose of this paper is to contribute to the understanding of why people act trustworthily in anonymous non-repeated meetings where trustworthiness benefits the trustor and runs against the trustee’s material self-interest. Design/methodology/approach The paper uses a survey originally developed by Bicchieri et al. (2011). The survey makes it possible to explore whether trustworthiness has a normative element. Is there a norm of trustworthiness that inflicts punishment for disobedience? Findings The participants in the experiment strongly believe that most people will punish untrustworthy behavior, lending support to the idea that trustworthiness is norm driven. The data provide little evidence for a parallel norm of trust. Originality/value The theory of repeated games explains how trust can emerge among players in ongoing interactions. But why do people choose to trust others who they do not know in non-ongoing interactions? The results offer an explanation. When trustors are aware that trustworthiness is rooted in norms, they have reason to expect trustees to act trustworthily. Then, it makes sense to trust since trustors will benefit from their trusting.
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Ścigała, Karolina A., Christoph Schild, and Ingo Zettler. "Dishonesty as a signal of trustworthiness: Honesty-Humility and trustworthy dishonesty." Royal Society Open Science 7, no. 10 (October 2020): 200685. http://dx.doi.org/10.1098/rsos.200685.

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Trustworthiness is a foundation of well-functioning relationships and societies, and thus often perceived as a socially normative behaviour. Correspondingly, a broad array of research found that people tend to act in a trustworthy way and signal their trustworthiness to others, and that trustworthiness is rewarded. Herein, we explore whether this motivation to behave trustworthily can have socially undesirable effects in terms of leading to dishonesty targeted at fulfilling the trustor's expectations (i.e. trustworthy dishonesty ). Furthermore, we examine how the basic trait of Honesty-Humility, which has consistently been found to be linked to both higher honesty and trustworthiness, relates to trustworthy dishonesty, where honesty and trustworthiness are at odds. Specifically, we conducted three pre-registered studies ( N = 7080), introducing a novel behavioural game, the lying-trust game , where participants had a chance to lie to act trustworthily. In two studies, we found that, when offered ‘full trust’, participants high in Honesty-Humility (i.e. the top 10%) engaged in trustworthy dishonesty, i.e. lied in order to avoid maximizing their own incentive at the cost of minimizing the incentive of their trustor. This pattern was not present when the trustor offered minimal trust only, as well as among participants low in Honesty-Humility (i.e. the bottom 10%).
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Wahyuni, Wahyuni. "PENGARUH PENGGUNAAN CELEBRITY ENDORSER PADA MEDIA SOSIAL INSTAGRAM TERHADAP MINAT BELI KONSUMEN (Studi Pada Mahasiswa Program Studi Administrasi Bisnis Universitas Mulawarman Angkatan 2015-2016)." Jurnal Administrasi Bisnis Fisipol Unmul 8, no. 3 (August 23, 2020): 265. http://dx.doi.org/10.54144/jadbis.v8i3.3989.

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This study to purposed to examine the effect of attractive, trustworthiness, expertise by the celebrity endorser on social media instagram simultaneously, partial and dominant towards consumers’ purchase interest.The variable that used in this study consists of independent variables, those are atteractive (X1), trustworthinees (X2), and expertise (X3) also dependent variable, purchase interest (Y). This study is using quantitative research method counted 119 consuners and using nonpropability sampling. Interview, questionnaire, and observation are using to collect the data. The data analysis using multiple linear technique.Based on the result of the research, test F (simultaneous) and test t (partial) showed that atteractive variable, trustworthiness, and expertise simultaneously and partial significantly influent the consumers’ purchase interest, the biggest standardised coefficients beta is atteractive, so that we can conclude that the most influent variable is atterctive variable (X1). For all online businesses, especially instagram, it is better to pay attention in chosing the celebrity that worthy to be tha endorser so that we can get the terustworthiness and antention from the consumers and to influence the consumers’ perception to do a pruchase.
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Jones, Karen. "Trustworthiness." Ethics 123, no. 1 (October 2012): 61–85. http://dx.doi.org/10.1086/667838.

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Elgin, Catherine Z. "Trustworthiness." Philosophical Papers 37, no. 3 (November 2008): 371–87. http://dx.doi.org/10.1080/05568640809485227.

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Cripe, Larry D. "Trustworthiness." Journal of Clinical Oncology 29, no. 25 (September 1, 2011): 3483–86. http://dx.doi.org/10.1200/jco.2011.35.9463.

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Hardin, Russell. "Trustworthiness." Ethics 107, no. 1 (October 1996): 26–42. http://dx.doi.org/10.1086/233695.

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Dunn, Craig P. "Managerial Trustworthiness." Proceedings of the International Association for Business and Society 8 (1997): 127–38. http://dx.doi.org/10.5840/iabsproc1997816.

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Siebert, Matthew Kent. "Testimonial Trustworthiness." American Catholic Philosophical Quarterly 92, no. 2 (2018): 249–76. http://dx.doi.org/10.5840/acpq2018313149.

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Believing someone is, as Elizabeth Anscombe said, “trusting him for the truth.” Recent accounts of how we trust speakers for the truth have given a central role to speaker trustworthiness but have said little about what speaker trustworthiness is. I argue that it is best to think of speaker trustworthiness as the virtue of truthfulness. I give an account of truthfulness, show how that account solves problems for other accounts of speaker trustworthiness, and then use my account to explain the epistemic benefits of trusting a truthful speaker.
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Marsden, Lindsay. "Demonstrate trustworthiness." Children and Young People Now 2019, no. 1 (January 2, 2019): 40. http://dx.doi.org/10.12968/cypn.2019.1.40.

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Dissertations / Theses on the topic "Trustworthine"

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BIELLA, MARCO. "Dynamics of Face-Context Integration: How Threat Cues Influence the Processing of Facial Trustworthiness." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2019. http://hdl.handle.net/10281/241067.

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La prima impressione è spesso basata su informazioni limitate che sono estratte automaticamente dall’aspetto dei target. Una classe di giudizi particolarmente importante è quella relativa al giudizio di trustworthiness. Data la sua importanza, siamo in grado di formarci un’impressione di trustworthiness già dopo 33ms di esposizione al volto della persona target. Inoltre il giudizio riguardante la trustworthiness si forma più velocemente dei giudizi riguardanti altre dimensioni della percezione sociale (eg. Dominanza, competenza e piacevolezza). In letteratura altri studi mostrano evidenze riguardanti un vantaggio nel ricordo di volti untrustworthy che supera il vantaggio attribuito a volti che variano lungo altre dimensioni di percezione sociale. In aggiunta è stato dimostrato che la trustworthiness di un volto può predire risposte di approccio o evitamento nell’osservatore. Nella maggior parte degli studi che indagano la percezione di trustworthiness i volti vengono presentati per un breve momento sullo schermo del computer e ai partecipanti è chiesto di categorizzarli. Di conseguenza la percezione di trustworthiness estratta dal volto è spesso considerata come una caratteristica che viene elaborata in maniera relativamente indipendente dal contesto. Tuttavia i volti non vengono mai incontrati in assenza di un contesto nella vita di tutti i giorni. Il presente lavoro cerca di estendere la letteratura precedente indagando come informazioni contestuali possano impattare la percezione di trustworthiness estratta dai volti. A tal scopo abbiamo condotto 8 esperimenti e 5 pretest (N = 691) basati sia su misure che rilevano l’outcome della percezione (eg. Giudizi espliciti e categorizzazioni) che su misure sensibili al processo sottostante (eg. Mouse-tracking). I risultati dei singoli esperimenti e una meta-analisi condotta sull’intero set di dati mostrano che le informazioni contestuali collegate alla minacciosità influenzano il giudizio di trustworthiness. Il presente lavoro dimostra la specificità delle informazioni di minaccia e mette in evidenza come l’effetto della minaccia vada ben oltre l’effetto della semplice valenza. Sembra quindi che la presenza nel contesto di informazioni di minaccia promuova la categorizzazione di un volto come untrustworthy. Al contrario le stesse informazioni contestuali di minaccia sembrano interferire con il processo di percezione rendendo la categorizzazione di volti trustowrthy meno fluida. Un altro aspetto che i nostri dati suggeriscono è che l’integrazione tra la trustworthiness e le informazioni di minaccia avvenga ad un profondo livello dell’architettura cognitiva. Tale risultato è in linea con una prospettiva evolutiva ed è ottenuto dimostrando che l’integrazione di informazioni avviene solo quando tali informazioni sono presenti nello stesso sistema percettivo e non quando le informazioni da integrare provengono da sistemi percettivi differenti. Il quadro generale dei nostri risultati rivela la flessibilità della percezione di trustworthiness e come questa possa essere influenzata da informazioni contestuali allo stimolo percepito.
Our impressions of others are often based on limited information that is spontaneously and automatically extracted from their faces. An important class of inferences concerns judgments of trustworthiness. As such, people start discriminating trustworthiness after 33ms of exposure to a face and the detection of trustworthiness in faces is faster than the detection of a variety of other characteristics, including dominance, likeability, and competence. People show a memory advantage for faces varying on trustworthiness compared with those varying on likeability, friendliness, and dominance and facial trustworthiness predicts basic approach/avoidance responses. In the vast majority of studies examining facial trustworthiness, faces are flashed on the computer screen, and categorization of trustworthiness quickly ensues. In other words, evaluation of facial trustworthiness is often thought to be based on facial features and relatively immune to context cues. However, we rarely encounter an isolated facial expression in the real world. The present dissertation aimed at complementing and extending prior research evidence by investigating whether contextual information may impact the perception of facial trustworthiness. We conducted 8 main experiments and 5 pretests (N = 691) combining outcome based measures (i.e., ratings and explicit evaluations) with process-sensitive measures (i.e., mouse tracking). Results of each single experiment and the meta-analysis of the whole experimental data show that contextual threat information influences the evaluation of facial trustworthiness. We showed the specificity of threat information proving that the effects we found goes over and beyond negative information more in general. Thus, contextual threat information promoted the evaluation and categorization of facial untrustworthiness. By contrast, threatening contextual cues disrupted the processing of trustworthy faces. Moreover, our data suggested that such an integration occurs at a low cognitive level, in accordance with an evolutionary perspective, by showing that the integration is possible when information to be integrated lay in the same perceptual system but not when information is stored on different perceptual systems. Taken together, our findings reveal the malleable nature of trustworthiness such that its perception is readily pushed around by scene context.
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BACCOLO, ELISA. "It’s written all over your face. The ontogeny of sensitivity to facial cues to trustworthiness." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2020. http://hdl.handle.net/10281/277385.

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Gli esseri umani sono ipersensibili a quelle proprietà facciali che trasmettono segnali sociali. La capacità di attribuire giudizi di affidabilità basati sui segnali del volto, vale a dire quei segnali che usiamo per dedurre se una persona può essere avvicinata in modo sicuro o piuttosto evitata, è nota per essere veloce, automatica e basata su pochissime informazioni. Questa tesi di dottorato mira a indagare: (1) se la sensibilità ai tratti di affidabilità del volto sia modulata da differenze individuali nelle attitudini sociali e comportamentali; (2) la traiettoria evolutiva di questa sensibilità; (3) se la sensibilità alle sottili variazioni degli indizi facciali all'affidabilità è un fenomeno universale o è piuttosto modulata dalla cultura e / o dall'etnia del viso. Il Capitolo 1 mira a indagare se differenze nella sensibilità percettiva e nella rappresentazione mentale di volti che variano per livello di affidabilità espressa sono associate a differenze individuali relative alla motivazione sociale. I risultati hanno mostrato che le differenze individuali nella motivazione sociale possono avere un impatto sulla quantità di esperienza sociale e quindi sul livello di sensibilità nei confronti di segnali facciali all'affidabilità. Il capitolo 2 si è concentrato sulla traiettoria evolutiva di tale sensibilità. Lo studio 2 mira a studiare in che modo la sensibilità percettiva e la rappresentazione mentale di differenze minime nell'informazione facciale che sottende la percezione di affidabilità si sviluppano nel tempo, tenendo conto delle differenze individuali nello sviluppo emotivo. I risultati hanno mostrato che la sensibilità ai segnali di affidabilità del volto e la capacità di impiegare questi segnali per generare giudizi di affidabilità è presente in età prescolare, ma matura per raggiungere livelli simili a quelli degli adulti all'età di 7 anni, sviluppandosi insieme alle capacità di comprensione delle emozioni. Gli studi 3 e 4 hanno utilizzato due diversi paradigmi EEG con neonati di 6 mesi per indagare se questa sensibilità sia già presente nel primo anno di vita. I dati combinati provenienti dagli studi 3 e 4 contribuiscono a dimostrare che i bambini di 6 mesi sono sensibili a quegli indizi facciali che vengono successivamente utilizzati per generare giudizi di affidabilità. Infine, il capitolo 3 presenta una convalida di stimoli che verranno utilizzati per esplorare la presenza di differenze cross-culturali nello sviluppo nella percezione dell'affidabilità del volto. Nel complesso, tutti gli studi presentati suggeriscono che la sensibilità ai tratti di affidabilità del volto si manifesta nei primissimi anni di vita, per poi affinarsi tramite l'esperienza nel corso dello sviluppo. Inoltre, suggeriscono che la percezione dell’affidabilità di un volto potrebbe essere cross-culturale, in quanto non è influenzata dall'esperienza che un individuo acquisisce con una determinata categoria di volti.
Human beings are hypersensitive to those facial properties that convey social signals. The ability to attribute trustworthiness judgements based on facial cues to trustworthiness, i.e. those cues that we use to derive whether a person can be safely approached or better avoided, is known to be fast, automatic and based on very little information. This doctoral dissertation aims at investigating: (1) whether sensitivity to facial cues to trustworthiness is modulated by individual variations in social personality characteristics; (2) the developmental trajectory of this sensitivity; (3) if sensitivity to subtle variations in facial cues to trustworthiness is a universal phenomenon or is it modulated by culture and/or face ethnicity. Chapter 1 aimed at investigating whether individual differences in fine-grained perceptual sensitivity and mental representation of facial features related to trustworthiness judgements are associated with individual differences in social motivation. Results showed that individual differences in social motivation can have an impact on the amount of social experience and thus the level of developed sensitivity to facial cues to trustworthiness. Chapter 2 focused on the developmental trajectory of such sensitivity. Study 2 aimed to investigate how perceptual sensitivity to and mental representation of fine-grained differences in facial information subtending social perception of trustworthiness develops in time, taking into account individual differences in emotional development. Results showed that sensitivity to facial cues to trustworthiness and the ability to employ these cues to generate trustworthiness judgements is present in preschool years, but matures to reach adult-like levels at the age of 7, developing together with emotion understanding abilities. Study 3 and 4 used two different EEG paradigms with 6-month-old infants to question whether this sensitivity is already present in the first year of life. Combined data coming from Study 3 and 4 contribute in showing that 6-month-old infants are sensitive to those facial cues that are later used to generate trustworthiness judgements. Finally, Chapter 3 presents a validation of stimuli that will be used to explore the presence of developmental cross-cultural differences in the perception of face trustworthiness. Overall, all presented studies suggest that sensitivity to facial cues to trustworthiness manifests in the very first years of life, to be then refined by experience over the course of development. Moreover, they suggest that trustworthiness perception could be cross-cultural, as it is not influenced by the experience an individual gains with a certain face category.
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SILVESTRI, VALENTINA. "AND I’LL SEE YOU IN THE HIGH AND LOW. The ontogenetic origins of sensitivity to facial cues to trustworthiness and emotion." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2022. http://hdl.handle.net/10281/379215.

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Una componente fondamentale della competenza sociale degli esseri umani è l'abilità di estrarre rapidamente e in modo spontaneo i segnali sociali che provengono dal volto, quali per esempio i tratti emotivi e di affidabilità. Il fatto che le risposte a queste configurazioni facciali siano rapide e automatiche suggerisce come esse derivino dalla pressione evolutiva a rilevare segnali di pericolo per aumentare le possibilità di sopravvivenza. Tuttavia, le origini ontogenetiche di queste abilità sociali sono ancora oggetto di dibattito. La presente tesi di dottorato si pone l'obiettivo di indagare la natura dell’informazione visiva che media la discriminazione delle emozioni e/o la percezione dell'affidabilità dai volti utilizzando l'approccio del filtraggio spaziale, ossia la rimozione selettiva di bande di frequenze spaziali contenute nell'immagine. Nello specifico, l’elaborato comprende 5 studi volti a indagare (1) la natura dell'informazione visiva sui cui si basano i giudizi espliciti di affidabilità degli adulti (Studio 1) (2) se la percezione di affidabilità di adulti (Studio 2) e bambini (Studio 3) è generalizzata a volti di un'etnia differente dalla propria e la natura dell'informazione visiva coinvolta, (3) la natura dell'informazione visiva che determina la discriminazione neurale di affidabilità dai volti nei preverbali (Studio 4), e (4) la natura dell'informazione visiva su cui si basa la discriminazione visiva delle emozioni alla nascita (Studio 5a e 5b). I risultati dello Studio 1 mostrano che sebbene sia le informazioni visive globali, veicolate dalle frequenze spaziali basse, che le informazioni visive locali, veicolate dalle frequenze spaziali alte, sono sufficienti per discriminare tra livelli di affidabilità, l'informazione globale gioca un ruolo cruciale. Gli Studi 2 e 3 estendono le considerazioni sulla natura dell'informazione visiva coinvolta nella percezione di affidabilità a volti meno presenti nell'ambiente sociale dell'individuo, volti di un'altra etnia. Dunque, l'obiettivo è indagare se la percezione di affidabilità nei bambini (Studio 3) si basa sulle stesse informazioni visive su cui si basa negli adulti (Studio 2) e se la stessa differisca in base all'etnia del volto. I risultati mostrano che le informazioni visive coinvolte nella percezione di affidabilità dai volti della propria o altrui etnia cambiano in relazione al grado di familiarità del volto durante lo sviluppo. Nello Studio 4, attraverso un nuovo paradigma di registrazione della risposta neurale, la Fast Periodic Visual Stimulation, viene esplorata l'informazione visiva che i bambini di 6 mesi utilizzano per discriminare tra volti affidabili e inaffidabili. I bambini di 6 mesi discriminano tra volti affidabili e non affidabili sulla base di informazioni visive differenti. Le informazioni locali mediano la discriminazione di volti affidabili mentre la discriminazione di volti non affidabili si basa su informazione visiva locale. I risultati vengono discussi alla luce delle eventuali implicazioni per la comprensione dei meccanismi percettivi e neurali coinvolti nella discriminazione di volti a valenza positiva e negativa. Lo Studio 5 ha indagato il ruolo dell'informazione visiva nella percezione delle emozioni alla nascita. I neonati a 2 giorni di vita discriminano tra volti felici e impauriti sia quando rimangono solo le frequenze spaziali alte che quando rimangono solo le frequenze spaziali basse. Tuttavia, i neonati preferiscono i volti felici ai volti impauriti solo quando nell’immagine rimangono le frequenze spaziali alte. Dunque, l'informazione visiva presente nell'immagine modula la salienza dei segnali sociali dai volti fin dalle prime ore di vita. Nel complesso, i risultati suggeriscono che la percezione di affidabilità ed emotiva si basa su una sensibilità adattiva ed evoluzionistica che si raffina nel corso dello sviluppo come risultato dell'esperienza nell'ambiente sociale.
One fundamental component of humans' social competence is the ability to rapidly and spontaneously extrapolate facial cues of emotion and trustworthiness - i.e., whether others are likely to approach us friendly or hostilely. The fast and automatic nature of these responses to facial configurations has led to the claim that they derive from evolutionary pressure to detect signals of potential harm, and distinguish between friends or foes to enhance our chances of survival. However, the ontogenetic origins of these fundamental social skills are still debated. To explore this question, the studies reported in this doctoral dissertation investigated the nature of the visual information driving emotion discrimination and/or trustworthiness perception across the life span using the spatial filtering approach - i.e., the selective removal of portions of the spatial frequencies (SF) information contained in the image. Specifically, this doctoral dissertation includes 5 studies aimed at investigating (1) the nature of the visual information on which adults' explicit judgments of trustworthiness are based (Study 1), (2) whether trustworthiness perception in adults (Study 2) and children (Study 3) generalizes across face-race and/or the nature of the visual information on which trustworthiness judgments are based differs for more versus less familiar face categories, (3) the nature of the visual information that triggers neural discrimination of facial cues to trustworthiness in preverbal infants (Study 4), and (4) the nature of the visual information that mediates visual discrimination of emotional facial expressions at birth (Study 5a and 5b). Results of Study 1 showed that, although both global visual cues, conveyed by low-spatial frequency bands, and local visual cues, conveyed by high-spatial frequency bands, are sufficient to discriminate between levels of trustworthiness, the selective removal of global information negatively impacts trustworthiness perception. Study 2 and 3 extended evidence on the nature of visual information involved in trustworthiness perception to faces underrepresented in the individual's social environment, other-race faces, in adults and preschool and school children. Results showed that in the course of development the visual information involved in own- and other-race trustworthiness perception changes. Study 4 used a newly developed Electroencephalographic (EEG) visual discrimination paradigm, the Fast Periodic Visual Stimulation, to investigate which visual information 6-month-old infants use to discriminate between trustworthy and untrustworthy faces. The infants’ brain discriminated between high-trustworthy and low-trustworthy faces based on different types of visual information. Results are discussed for their implications for the understanding of the perceptual/neural mechanisms involved in early discrimination between positive and negative valence faces. Study 5 explored the role of visual information in emotion perception at birth. 2-days-old newborns discriminate between happy and fearful facial expressions with both high and low spatial frequency information but they prefer happy faces when only high spatial frequencies remain. The visual information present in the image modulates the salience of the facial cues to emotions from the first hours of life. Altogether, the evidence gathered from the current studies adds to the existing literature suggesting that emotion and trustworthiness perception are based on an adaptive and evolutionary sensitivity early in life that is refined over the course of development as a result of the quantity and quality of facial experience in the social environment.
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McColl, James. "Trust & trustworthiness." Theological Research Exchange Network (TREN), 1989. http://www.tren.com.

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Arockiasamy, Britto N. "Trustworthiness of Web Services." UNF Digital Commons, 2014. http://digitalcommons.unf.edu/etd/531.

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Workflow systems orchestrate various business tasks to attain an objective. Web services can be leveraged to handle individual tasks. Before anyone intends to leverage service components, it is imperative and essential to evaluate the trustworthiness of these services. Therefore, choosing a trustworthy service has become an important decision while designing a workflow system. Trustworthiness can be defined as the likelihood of a service functioning as it is intended. Selection of a service that satisfies business goals involves collecting relevant information such as security mechanisms, reliability, performance and availability. It is important to arrive at total trustworthiness, which incorporates all of the above mentioned multi-facet values relevant to a service. These values can be gathered and analyzed to derive the total trustworthiness of a service. Measuring trustworthiness of a service involves arriving at a suitable value that would help an end-user make a decision for the given business settings. The primary focus of this thesis is to gather relevant details and measure trustworthiness based on inputs provided by the user. A conceptual model was developed after extensive literature review to identify factors that influence trustworthiness of a service. A mechanism was created to gather concept values for a given service and utilize those values to calculate trustworthiness index value. A proof-of-concept prototype was also developed. The prototype is a web-based application that implements the mechanism to measure the trustworthiness of the service. The prototype was evaluated using a scenario-based analysis method to demonstrate the utility of the trustworthiness mechanism using three different scenarios. Results of the evaluation shows that trustworthiness is a multidimensional concept, the relevant conceptual values can be collected, a trustworthiness index value can be calculated based on the gathered concepts, and a trustworthiness index can be interpreted to select the most relevant service for a given requirement.
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Haines, Thomas E. "Towards trustworthiness without trusted authorities." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/112814/1/Thomas_Haines_Thesis.pdf.

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This project focuses on improving public consensus systems by reducing reliance on the powerful authorities which are prevalent in modern electronic voting schemes. We investigate how new cryptographic protocols with human involvement can remove or reduce reliance on trusted authorities. We improve the in-polling-booth electronic voting scheme "Prêt à Voter" to allow higher privacy. We propose an online voting scheme called "VOTOR" that prevents the authorities from learning or casting votes, along with other desirable properties. Finally, we design a forward-secure and unconditionally anonymous linkable ring signature, with applications to onlinevoting.
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Doan, Trung Son [Verfasser]. "On Trustworthiness Recommendation / Trung Son Doan." Hagen : FernUniversität in Hagen, 2017. http://d-nb.info/1137181621/34.

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Xu, Rubin. "Improving application trustworthiness on stock Android." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708958.

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Pattanaphanchai, Jarutas. "Trustworthiness of Web information evaluation framework." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/370596/.

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Assessing the quality of information on the Web is a challenging issue for at least two reasons. Firstly, there is little control over publishing quality. Secondly, when assessing the trustworthiness of Web pages, users tend to base their judgements upon subjective criteria such as the visual presentation of the website, rather than rigorous criteria such as the author's qualifications or the source's review process. As a result, Web users tend to make incorrect assessments of the trustworthiness of the Web information they are consuming. Also, they are uncertain of their ability to make a decision whether to trust information they are not familiar with. This research addresses this problem by collecting and presenting metadata based on useful practice trustworthiness criteria, in order to support the users' evaluation process for assessing the trustworthiness of Web information during their information seeking processes. In this thesis, we propose the Trustworthiness of Web Information Evaluation (TWINE) application framework, and present a prototype tool that employs this framework for a case study of academic publications. The framework gathers and provides useful information that can support users' judgments of the trustworthiness of Web information. The framework consists of two layers: the presentation layer and the logic layer. The presentation layer is composed of input and output modules, which are the modules that interface with the users. The logic layer consists of the trustworthiness criteria and metadata creation modules. The trustworthiness criteria module is composed of four basic criteria, namely: authority, accuracy, recency and relevance. Each criterion consists of the items, called indicators, in order to indicate the trustworthiness of Web information based on their criteria. The metadata creation module gathers and integrates metadata based on the proposed criteria that will then be used in the output module in order to generate the supportive information for users. The framework was evaluated based on the tool, using an empirical study. The study set a scenario that new postgraduate students search for publications to use in their report using the developed tool. The students were then asked to complete a questionnaire, which was then analysed using quantitative and qualitative methods. The results from the questionnaire show that the confidence level of users when evaluating the trustworthiness of Web information does increase if they obtain useful supportive information about that Web information. The mean of the confidence level of their judgments increases by 12.51 percentage points. Additionally, the number of selected ssessing the quality of information on the Web is a challenging issue for at least two reasons. Firstly, there is little control over publishing quality. Secondly, when assessing the trustworthiness of Web pages, users tend to base their judgements upon subjective criteria such as the visual presentation of the website, rather than rigorous criteria such as the author's qualifications or the source's review process. As a result, Web users tend to make incorrect assessments of the trustworthiness of the Web information they are consuming. Also, they are uncertain of their ability to make a decision whether to trust information they are not familiar with. This research addresses this problem by collecting and presenting metadata based on useful practice trustworthiness criteria, in order to support the users' evaluation process for assessing the trustworthiness of Web information during their information seeking processes. In this thesis, we propose the Trustworthiness of Web Information Evaluation (TWINE) application framework, and present a prototype tool that employs this framework for a case study of academic publications. The framework gathers and provides useful information that can support users' judgments of the trustworthiness of Web information. The framework consists of two layers: the presentation layer and the logic layer. The presentation layer is composed of input and output modules, which are the modules that interface with the users. The logic layer consists of the trustworthiness criteria and metadata creation modules. The trustworthiness criteria module is composed of four basic criteria, namely: authority, accuracy, recency and relevance. Each criterion consists of the items, called indicators, in order to indicate the trustworthiness of Web information based on their criteria. The metadata creation module gathers and integrates metadata based on the proposed criteria that will then be used in the output module in order to generate the supportive information for users. The framework was evaluated based on the tool, using an empirical study. The study set a scenario that new postgraduate students search for publications to use in their report using the developed tool. The students were then asked to complete a questionnaire, which was then analysed using quantitative and qualitative methods. The results from the questionnaire show that the confidence level of users when evaluating the trustworthiness of Web information does increase if they obtain useful supportive information about that Web information. The mean of the confidence level of their judgments increases by 12.51 percentage points. Additionally, the number of selected pieces of Web information used in their work does increase when supportive information is provided. The number of pieces of Web information selected by the users increases on average less than one percentage points. Participating users were satisfied with the supportive information, insofar as it helps them to evaluate the trustworthiness of Web information, with the mean satisfaction level of 3.69 of 5 points. Overall the supportive information provided, based on and provided by the framework, can help users to adequately evaluate the trustworthiness of Web information.
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Antonellini, Giorgia. "Trustworthiness dei dati nei sistemi di crowdsourcing." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8279/.

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Questa tesi affronta la tematica della trustworthiness dal punto di vista dell’utente, a partire dalla sua identità virtuale fino a considerare l’analisi dei parametri che un sito Web dovrebbe adottare perchè sia ritenuto affidabile dagli utilizzatori. Si individueranno quindi le criticità che rendono ancora la trustworthiness una variabile poco considerata nella progettazione di siti Web e gli eventuali accorgimenti e punti di forza che caratterizzano un ambiente di lavoro. La tesi presenta diversi casi esemplificativi di utilizzo, ovvero gli ambienti di commercio elettronico, gli ambienti che condizionano l’acquisto di un utente e i sistemi di knowledge sharing; tutte le analisi di affidabilità sono applicate a siti web che adottano modelli di approvvigionamento dati da parte degli utenti stessi, votazioni e giudizi, recensioni su prodotti e servizi, crowdsourcing di informazioni e di esperienze personali e collettive, basate su progetti di indagine commerciale, analisi e opinione di prodotti o servizi o informazioni condivise per lo sviluppo sociale. La tematica viene analizzata da questi tre punti di vista, ciascuno sotto l’ottica identitaria, di reputazione e di affidabilità. La letteratura, come esaminato in questa tesi, propone alcuni modelli che individuano criteri di valutazione dell’affidabilità dei siti web, su algoritmi già esistenti quindi su siti Web che possiedono sistemi di filtraggio del contenuto o sistemi di valutazione della reputazione o meccanismi di raccomandazione per individuare le intenzioni dell’utente; in altri casi vengono implementati modelli sperimentali e teorie basate su dataset esistenti, per ricercare soluzioni tangibili all’autenticazione di affidabilità di un sistema, compensando la carenza di sistemi di giudizio di trustworthiness su siti Web reali. Vengono proposti alcuni casi d’uso, appartenenti alle categorie prese in oggetto, per esaminare nel dettaglio, le caratteristiche di trustworthiness fornite da ognuno di essi, nel loro campo di applicazione. L’obiettivo è tracciare una mappatura dei principali criteri con cui viene valutata trustworthiness dei dati in qualsiasi ambito d’applicazione della rete, ponendo alcuni criteri fondamentali ed avere così una visione approfondita della problematica.
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Books on the topic "Trustworthine"

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Trustworthiness. Ann Arbor, Mich: Cherry Lake Pub., 2009.

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Trustworthiness. Ann Arbor, Michigan: Cherry Lake Publishing, 2013.

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Trustworthiness. San Diego, CA: Bearing Books, 2009.

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de, Bezenac Agnes, Bezenac Agnes de, Bezenac, Salem de, author, ill, and Luo Ying translator, eds. Xin ren: Trustworthiness. Shanghai Shi: Hua dong shi fan da xue chu ban she, 2015.

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Nünning, Vera, ed. Unreliable Narration and Trustworthiness. Berlin, München, Boston: DE GRUYTER, 2015. http://dx.doi.org/10.1515/9783110408263.

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Kwantes, Catherine T., and Ben C. H. Kuo, eds. Trust and Trustworthiness across Cultures. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56718-7.

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Slemrod, Joel. Do trust and trustworthiness pay off? Cambridge, MA: National Bureau of Economic Research, 2002.

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Studios, Rising Star, ed. Sticking to it: A lesson in trustworthiness. Minneapolis, MN: Rising Star Studios, LLC, 2009.

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1971-, Hamill Heather, ed. Streetwise: How taxi drivers establish their customers' trustworthiness. New York: Russell Sage, 2005.

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Unreliable narration and trustworthiness: Intermedial and interdisciplinary perspectives. Berlin: De Gruyter, 2015.

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Book chapters on the topic "Trustworthine"

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Banks, Sarah, and Ann Gallagher. "Trustworthiness." In Ethics in professional life, 134–54. London: Macmillan Education UK, 2009. http://dx.doi.org/10.1007/978-1-137-07769-1_8.

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Monty, David A. "Building Trustworthiness." In Trust-Based Selling, 69–82. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0874-8_8.

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Wang, Chen. "Trustworthiness Evaluation." In Encyclopedia of Wireless Networks, 1415–17. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_318.

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Kassab, Lora L., and Jeffrey Voas. "Agent Trustworthiness." In Object-Oriented Technology: ECOOP’98 Workshop Reader, 300. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49255-0_78.

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Wang, Chen. "Trustworthiness Evaluation." In Encyclopedia of Wireless Networks, 1–2. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-32903-1_318-1.

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Klüwer, Johan W., and Arild Waaler. "Relative Trustworthiness." In Formal Aspects in Security and Trust, 158–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11679219_12.

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Barzilai, Sarit, and Michael Weinstock. "Beyond Trustworthiness." In Handbook of Learning from Multiple Representations and Perspectives, 123–40. New York, NY : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429443961-11.

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Gol Mohammadi, Nazila, Nelufar Ulfat-Bunyadi, and Maritta Heisel. "Trustworthiness Cases – Toward Preparation for the Trustworthiness Certification." In Trust, Privacy and Security in Digital Business, 244–59. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98385-1_17.

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Bernstein, Lawrence, and C. M. Yuhas. "Design for Trustworthiness." In Design for Reliability, 193–212. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118310052.ch13.

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Sheard, Michael. "Truth and Trustworthiness." In Unifying the Philosophy of Truth, 107–15. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9673-6_4.

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Conference papers on the topic "Trustworthine"

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Atkinson, David J. "Robot Trustworthiness." In HRI '15: ACM/IEEE International Conference on Human-Robot Interaction. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2701973.2701976.

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Zhang, Yi, Zachary Ives, and Dan Roth. "Evidence-based Trustworthiness." In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/p19-1040.

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Fengying, Wang, Li Caihong, and Zhao Lei. "Path Trustworthiness Range." In 2009 International Conference on Web Information Systems and Mining (WISM). IEEE, 2009. http://dx.doi.org/10.1109/wism.2009.113.

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Rahman, Fatin Hamadah, Thien Wan Au, S. H. Shah Newaz, and Wida Susanty Suhaili. "Trustworthiness in Fog." In the 2017 VI International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3171592.3171606.

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Artych, Rafał, Krzysztof Bocianiak, and Tomasz Ośko. "Trustworthiness 5G Enabler." In 2017 Federated Conference on Computer Science and Information Systems. IEEE, 2017. http://dx.doi.org/10.15439/2017f235.

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Camargo, Diego, Felipe Nunes Gaia, Tania Basso, and Regina Lúcia de Oliveira Moraes. "A Dashboard for System Trustworthiness Properties Evaluation." In XXI Workshop de Testes e Tolerância a Falhas. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/wtf.2020.12487.

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Understanding the trustworthiness of a cloud system is a difficult task, because it encompasses a large diversity of properties such as security, privacy, performance, among others. Evaluating and improving the system regarding trustworthiness require the analysis of huge data considering their historical status. The goal of this paper is to present a dashboard developed for the visualization of these properties, the relationship among them and their relevance in the composition of a trustworthiness score over usage time.
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Deng, Yuxin, Zezhong Chen, Wenjie Du, Bifei Mao, Zhizhang Liang, Qiushi Lin, and Jinghui Li. "Trustworthiness Derivation Tree: A Model of Evidence-Based Software Trustworthiness." In 2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C). IEEE, 2021. http://dx.doi.org/10.1109/qrs-c55045.2021.00077.

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Hall, Simin, William McQuay, and Kenneth S. Ball. "Initial Results From an Interdisciplinary Review of Trust Research." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-39622.

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In the days of modern engineering, a complex system can be designed and built using numerous sources of information, knowledge, hardware, and software. A factor that impacts the success of a complex system is trust. In designing a framework that allows for a unified trust model or trusting picture and defining a reliable metric for measuring trustworthiness, we are examining definitions and methodologies from social sciences and engineering. This paper uses a combination of publication analysis of research literature including psychological, sociological, economic, automation, and cyberspace perspectives of trust and technical dialogues with the subject matter experts at the Air Force Research Laboratory, to illuminate the interdisciplinary approach undertaken in hardware centric design with human interface. We review past work to highlight trustworthiness characteristics and trust measurements that conceptually could apply across fields under examination. We expect to create a more rigorous definition of trust and trustworthiness that leads to finding the appropriate metrics to measure trust and trustworthiness dynamically.
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Jian Yang. "A classification evaluation model for software trustworthiness based on trustworthiness evolution." In 2011 International Conference on Business Management and Electronic Information (BMEI). IEEE, 2011. http://dx.doi.org/10.1109/icbmei.2011.5916913.

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Soeder, Brian, and K. Suzanne Barber. "Trustworthiness of Identity Attributes." In the 7th International Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2659651.2659708.

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Reports on the topic "Trustworthine"

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Kassab, Lora L., and Jeffrey Voas. Agent Trustworthiness. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada465142.

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Atencio, Julian James. The Concept of Reliability and Trustworthiness. Office of Scientific and Technical Information (OSTI), October 2016. http://dx.doi.org/10.2172/1329815.

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Slemrod, Joel, and Peter Katuscak. Do Trust and Trustworthiness Pay Off? Cambridge, MA: National Bureau of Economic Research, September 2002. http://dx.doi.org/10.3386/w9200.

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Ruusalepp, Raivo. D4.3 Report on Trustworthiness and Quality. Collaboration to Clarify the Costs of Curation, March 2014. http://dx.doi.org/10.7207/4c-4.3.

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Karhoff, Herman L. Quality Assessment of Trustworthiness of AFMC Acquisition Data. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada476367.

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Liu, Huan. Assessing Trustworthiness in Social Media: A Social Computing Approach. Fort Belvoir, VA: Defense Technical Information Center, October 2015. http://dx.doi.org/10.21236/ad1007384.

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Boland, Tim, Charline Cleraux, and Elizabeth Fong. Toward a preliminary framework for assessing the trustworthiness of software. Gaithersburg, MD: National Institute of Standards and Technology, 2010. http://dx.doi.org/10.6028/nist.ir.7755.

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Glaeser, Edward, David Laibson, Jose Scheinkman, and Christine Soutter. What is Social Capital? The Determinants of Trust and Trustworthiness. Cambridge, MA: National Bureau of Economic Research, July 1999. http://dx.doi.org/10.3386/w7216.

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Hedberg, Jr, Thomas, Moneer Helu, Sylvere Krima, and Allison Barnard Feeney. Recommendations on ensuring traceability and trustworthiness of manufacturing-related data. Gaithersburg, MD: National Institute of Standards and Technology, July 2020. http://dx.doi.org/10.6028/nist.ams.300-10.

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Cwik, Cynthia, Paul Grimm, Maura Grossman, and Toby Walsh. Artificial Intelligence and the Courts: Artificial Intelligence Trustworthiness, and Litigation. American Association for the Advancement of Science, September 2022. http://dx.doi.org/10.1126/aaas.adf0786.

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