Honesty in the Digital Age

2021 ◽  
Author(s):  
Alain Cohn ◽  
Tobias Gesche ◽  
Michel André Maréchal

Modern communication technologies enable efficient exchange of information but often sacrifice direct human interaction inherent in more traditional forms of communication. This raises the question of whether the lack of personal interaction induces individuals to exploit informational asymmetries. We conducted two experiments with a total of 848 subjects to examine how human versus machine interaction influences cheating for financial gain. We find that individuals cheat about three times more when they interact with a machine rather than a person, regardless of whether the machine is equipped with human features. When interacting with a human, individuals are particularly reluctant to report unlikely and therefore, suspicious outcomes, which is consistent with social image concerns. The second experiment shows that dishonest individuals prefer to interact with a machine when facing an opportunity to cheat. Our results suggest that human presence is key to mitigating dishonest behavior and that self-selection into communication channels can be used to screen for dishonest people. This paper was accepted by Axel Ockenfels, decision analysis.

Author(s):  
Roland Mühlenbernd ◽  
Sławomir Wacewicz ◽  
Przemysław Żywiczyński

AbstractPoliteness in conversation is a fascinating aspect of human interaction that directly interfaces language use and human social behavior more generally. We show how game theory, as a higher-order theory of behavior, can provide the tools to understand and model polite behavior. The recently proposed responsibility exchange theory (Chaudhry and Loewenstein in Psychol Rev 126(3):313–344, 2019) describes how the polite communications of thanking and apologizing impact two different types of an agent’s social image: (perceived) warmth and (perceived) competence. Here, we extend this approach in several ways, most importantly by adding a cultural-evolutionary dynamics that makes it possible to investigate the evolutionary stability of politeness strategies. Our analysis shows that in a society of agents who value status-related traits (such as competence) over reciprocity-related traits (such as warmth), both the less and the more polite strategies are maintained in cycles of cultural-evolutionary change.


Author(s):  
Hilda Moraa ◽  
Anne Salim ◽  
Albert Otieno

iHub Research conducted a study on 896 citizens to establish whether citizens raise alarm when faced with problems related to water. The study aimed to ascertain the communication channels they use to forward complaints to relevant authorities and the level of satisfaction obtained by the citizens after their complaints have been received. The study found that 68% of the respondents had faced challenges while trying to access their main source of water and were not able to complain to anyone about the problems affecting them due to inexistence of appropriate communication channels. A lack of understanding with regards to whom or where to complain was cited as one of the major reasons as to why most respondents do not complain about the water service levels. Majority of the citizens interviewed use face-to-face communication to raise their water grievances. Levels of satisfaction were found to vary when it comes to rating the action taken on water complaints raised. This study opines that with the emergence of Information and Communication Technologies (ICTs) this scenario is poised to change. The study participants revealed that they are motivated to utilise ICTs to air their complaints with regards to their levels of service satisfaction. Emerging ICT applications, especially those accessible on mobile devices, provide a lot of promise for enhancing water service delivery in Kenya because feedback on water/service quality can be received ubiquitously.


Author(s):  
Daniel Perez-Gonzalez ◽  
Pedro Soto-Acosta ◽  
Simona Popa

Education has expanded from the traditional in-class environment to the new digital phenomenon where teaching is assisted by Information and Communication Technologies (ICT). This wave of e-learning is challenging the effectiveness of the traditional educational approach still in place at higher education institutions. Academics and professionals agree that, to adapt higher education institutions to the 21st century, it is imperative to extend the use of ICT as well as the virtualization of many human-interaction activities. In this sense, public institutions and international reports suggest the need to deepen the application and study of e-learning within higher education as a means for achieving flexible, dynamic, and personalized e-learning initiatives. This chapter presents a case study that analyzes the implementation of a virtual interuniversity campus in which nine Spanish higher education institutions took part. For this purpose, the genesis of the project and the main characteristics of the virtual environment are described.


Author(s):  
Sylvia Archmann ◽  
Astrid Guiffart

This analyzes how Information and Communication Technologies (ICT) can be used by governments to involve all citizens in society life through increased access to education, employment, public services, as well as participating in decision-making. Given the risks of deeper social exclusion associated with the lack of digital competences or capabilities, targeted measures to encourage ICT engagement may strategically be implemented to provide equal opportunities. Furthermore, digital technologies open up new communication channels that governments can use to deliver valuable citizen-oriented public services and foster social and political involvement. In order to reach inclusiveness and participation objectives, technology is obviously not enough. Some commitment to openness and transparency, as well as an effective assessment of policy outcomes range among the pillars of a successful approach to digital governance.


Author(s):  
Alan César Belo Angeluci

In studies on mobile communication, a topic that has been of particular interest is the impact of increased adoption and use of mobile devices in everyday activities and in the context of interpersonal relationships. However, the ease of accessing digital content and connecting to people physically distant through the recent mobile communication technologies has shown barriers and opportunities in human interaction. Based on the theoretical approaches on identity and relational artifacts grounded in mobility and absent presence concepts, this paper describes some aspects among young people in Brazil in relation to the “phubbing” phenomenon. The term was coined to describe the act of ignoring someone due to the use of a smartphone. The results indicated effects on the level of attention and interaction, regarding not only the content of smartphone, but also the social protocol and the face-to-face communication.


Author(s):  
Laura Zapata-Cantú ◽  
Teresa Treviño ◽  
Flor Morton ◽  
Ernesto López Monterrubio

During the last decade, improvements in information and communication technologies have made possible the transformation of knowledge transfer processes from purely informal to increasingly formal and more diverse communication mechanisms that enrich intra-organizational communication channels. In this chapter, the authors followed a case study approach to analyze three Mexican companies with the objective of understanding how companies in the IT sector are implementing digital technologies to achieve knowledge transfer in their organizations. The findings suggest that workers seek and choose tools that can be personalized and customized to adapt to their own needs. New digital technologies are proving to be a new and relevant channel of communication among people: therefore, these should be considered to be one possible way to motivate knowledge transfer at work.


2019 ◽  
Vol 24 (4) ◽  
pp. 608-622 ◽  
Author(s):  
Dmytro Olehovych Oltarzhevskyi

Purpose The purpose of this paper is to distinguish the corporate communication channels by typology, by the designation of their characteristics and features of application, as well as to institutionalize the concept of corporate media. Design/methodology/approach In the theoretical part, with the help of general review, critical analysis, systematization and generalization, the main scientific works devoted to corporate communications have been studied. In practical part, the method of typology there has been used and descriptive analysis of types of communication channels has been carried out. Findings The research distinguishes the types of channels used in modern corporate communication. It reveals that corporate communication channels can be divided into two main types according to the criteria of relation to the company: outsiders and insiders. Then the channels can be divided into broad functional subtypes: events, advertising, media and a specific category – social media. The typological separation also can be based on the auditorium and communication technologies indications. Originality/value This study makes a significant contribution to the development of studies of corporate communication through structuring communication channels. The establishment of types, features and prospects for the development of communication channels, in particular such specific ones as corporate and social media, contribute to a more systematic approach to the methods of their use. From a practical point of view, companies can be guided by the results of this research during the formation of a mix of corporate communication.


Author(s):  
Jeff Stanley ◽  
Ozgur Eris ◽  
Monika Lohani

Increasingly, researchers are creating machines with humanlike social behaviors to elicit desired human responses such as trust and engagement, but a systematic characterization and categorization of such behaviors and their demonstrated effects is missing. This paper proposes a taxonomy of machine behavior based on what has been experimented with and documented in the literature to date. We argue that self-presentation theory, a psychosocial model of human interaction, provides a principled framework to structure existing knowledge in this domain and guide future research and development. We leverage a foundational human self-presentation taxonomy (Jones and Pittman, 1982), which associates human verbal behaviors with strategies, to guide the literature review of human-machine interaction studies we present in this paper. In our review, we identified 36 studies that have examined human-machine interactions with behaviors corresponding to strategies from the taxonomy. We analyzed frequently and infrequently used strategies to identify patterns and gaps, which led to the adaptation of Jones and Pittman’s human self-presentation taxonomy to a machine self-presentation taxonomy. The adapted taxonomy identifies strategies and behaviors machines can employ when presenting themselves to humans in order to elicit desired human responses and attitudes. Drawing from models of human trust we discuss how to apply the taxonomy to affect perceived machine trustworthiness.


2021 ◽  
Author(s):  
James Andreoni ◽  
Marta Serra-Garcia

What is the value of pledges if they are often reneged upon? In this paper, we show—both theoretically and experimentally—that pledges can be used to screen donors and to better understand their motives for giving. In return, nonprofit managers can use the information they glean from pledges to better target future charitable giving appeals and interventions to donors, such as expressions of gratitude. In an experiment, we find that offering the option to pledge gifts induces self-selection. If expressions of gratitude are then targeted to individuals who select into pledges, reneging can be significantly reduced. Our findings provide an explanation for the potential usefulness of pledges. This paper was accepted by Yan Chen, decision analysis.


2019 ◽  
Vol 8 (4) ◽  
pp. 7160-7162

This fast world is running with machine and human interaction. This kind of interaction is not an easy task. For proper interaction between human and machine speech recognition is major area where the machine should understand the speech properly to perform the tasks. So ASR have been developed which improvised the HMIS (“Human Machine Interaction systems”) technology in to the deep level. This research focuses on speech recognition over “Telugu language”, which is used in Telugu HMI systems. This paper uses LSF (linear spectral frequencies) technique for feature extraction and DNN for feature classification which finally produced the effective results. Many other recognition systems also used these techniques but for Telugu language this are the most suitable techniques.


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