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  • 2017

  • Gehl, Robert W.; Bakardjieva, Maria (Hg.) (2017): Socialbots and their friends. Digital media and the automation of sociality. New York, NY and London: Routledge. Online verfügbar unter http://lib.myilibrary.com?id=974098

     

    Abstract: Many users of the Internet are aware of bots: automated programs that work behind the scenes to come up with search suggestions, check the weather, filter emails, or clean up Wikipedia entries. More recently, a new software robot has been making its presence felt in social media sites such as Facebook and Twitter – the socialbot. However, unlike other bots, socialbots are built to appear human. While a weatherbot will tell you if it's sunny and a spambot will incessantly peddle Viagra, socialbots will ask you questions, have conversations, like your posts, retweet you, and become your friend. All the while, if they're well-programmed, you won't know that you're tweeting and friending with a robot. Who benefits from the use of software robots? Who loses? Does a bot deserve rights? Who pulls the strings of these bots? Who has the right to know what about them? What does it mean to be intelligent? What does it mean to be a friend? Socialbots and Their Friends: Digital Media and the Automation of Sociality is one of the first academic collections to critically consider the socialbot and tackle these pressing questions.

  • Hoeschl, Milena B.; Bueno, Tania C.D.; Hoeschl, Hugo C. (2017) : Fourth Industrial Revolution and the future of Engineering: Could Robots Replace Human Jobs? How Ethical Recommendations can Help Engineers Rule on Artificial Intelligence: 2017 7th World Engineering Education Forum (WEEF): Kuala Lumpur, Malaysia: IEEE, S. 21-26

    DOI: https://doi.org/10.1109/WEEF.2017.8466973 

    Abstract: The current economic crisis, combined with the sudden increased use of Information Technology (IT) and Artificial Intelligence (AI) in human life presents new challenges and opportunities for engineering education and jobs. Engineering education needs to undergo a revolution; ethical issues that involve AI and the use of technologies need to be inserted in the learning process urgently to guarantee the employment of our future engineers. In this work we identified and evaluated issues and candidate recommendations from initiatives like “The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems” and “USA NSTC’s Subcommittee on Machine Learning and Artificial Intelligence” in order to provide a set of ethical principles and recommendations that are conversant with Engineering ethics defined by “Engineering Criteria 2000”. Some of these ethical principles and recommendations are highlighted with the objective of introducing AI in engineering education and improve the connections between technology and society.

  • 2015

  • Trevino, Javier Omar (2015): Emotional and social intelligence. A study of interpersonal, intrapersonal, social awareness, and social facility skills of information technology professionals in higher education. ProQuest Information & Learning, US.

    Abstract: Technology is exponentially growing at a rapid pace across all industries, including higher education. Those who support these technologies, information technology (IT) professionals, are susceptible to job pressure factors, such as stress, due to labor shortages and a need for more communication with people other than IT professionals across campuses. This raises concern about their ability to interact according to emotional intelligence (EI). Very little is known about two EI aspects of IT professionals (interpersonal and intrapersonal skills) and their relationship to professional roles. The purpose of the study was to examine the relationships between various roles of IT professionals in higher education and their interpersonal and intrapersonal skills of EI. The study employed an ex-post facto design. The independent variable consisted of IT personnel's professional roles, education, and social intelligence. The dependent variable was emotional intelligence, consisting of interpersonal and intrapersonal EI. Data were analyzed according to t-test, ANOVA, and correlation statistics. The participants were IT professionals at 20 four-year public universities in the Texas A&M and University of Texas systems. There were 94 IT professionals who participated in the study. The findings showed that IT professionals with a degree in technology had lower stress levels and lower self-esteem than IT professionals whose degree was in business. However, there were no statistical differences in IE among IT professionals as it related to job titles, number of years on the job, or highest degree earned. Further analyses revealed social intelligence was correlated to emotional intelligence, although the relationship was weak. The study showed that IT professional are socially awkward. Since results revealed that as social intelligence decreased so did their emotional intelligence, IT leaders should be cautious about which IT professionals they want to interact directly with students, staff, faculty, and administrators. Furthermore, IT departments may need to change hiring practices. Those IT professionals who have technical expertise coupled with good people skills can be called upon to interact with other campus personnel. (PsycINFO Database Record (c) 2016 APA, all rights reserved)

  • 2014

  • Smari, Waleed W. (2014): International Conference on Collaboration Technologies and Systems (CTS), 2014. 19-23 May 2014, Minneapolis, Minnesota, USA ; [including symposia and workshops]. 2014 International Conference on Collaboration Technologies and Systems (CTS). Minneapolis, MN, USA, 5/19/2014 - 5/23/2014. Annual IEEE Computer Conference; International Conference on Collaboration Technologies and Systems (CTS); International Symposium on Big Data and Data Analytics in Collaboration (BDDAC); International Symposium on Security in Collaboration Technologies and Systems (SECOTS); International Symposium on Collaborative Analysis and Reasoning Systems (CARS); Workshop on Cloud Services and Web 2.0 Technologies for Collaboration (CSWC); International Workshop on Collaborative Robots and Human-Robot Interaction (CR-HRI); International Workshop on Collaborations in Emergency Response and Disaster Management (ERDM); International Workshop on Collaboration Technologies and Systems in Healthcare and Biomedical Fields (CoHeB). Piscataway, NJ: IEEE
  • 2011

  • . International Conference on Culture and Computing (2011)Second International Conference on Culture and Computing (Culture computing), 2011. 20 - 22 Oct. 2011, Kyoto, Japan ; proceedings. Piscataway, NJ: IEEE. Online verfügbar unter https://www.computer.org/csdl/proceedings/culture-computing/2011/4546/00/index.html
  • 2010

  • Nissenbaum, Helen Fay (2010): Privacy in context. Technology, policy, and the integrity of social life. Stanford, California: Standford University Press. Online verfügbar unter http://site.ebrary.com/lib/academiccompletetitles/home.action

     

    Abstract: As use of information technology increases, we worry that our personal information is being shared inappropriately, violating key social norms and irreversibly eroding privacy. This book describes how societies ought to go about deciding when to allow technology to lead change and when to resist it in the name of privacy

  • Plociennik, Christiane; Wandke, Hartmut; Kirste, Thomas (2010): What influences user acceptance of ad-hoc assistance systems? - A quantitative study. In: Mobile und ubiquitäre Informationssysteme - Technologien, Anwendungen und Dienste zur Unterstützung von mobiler Kollaboration. Bick, Markus (Ed.); Eulgem, Stefan (Ed.); Fleisch, Elgar (Ed.); Hampe, J. Felix (Ed.); König-Ries, Birgitta (Ed.); Lehner, Franz

    Abstract: Which factors influence user acceptance of Ambient Intelligence applications is an interesting question worth to be studied comprehensively. We describe a quantitative user study that investigates how experience, stress, and system behavior influence user acceptance of an ad-hoc assistance system. We find that stressed users perceive the assistance system as more useful than relaxed users. Furthermore, system behavior influences how useful people perceive the system, and experience influences how easy to use people find the system. Perceived usefulness also depends on how technophile a person is. Following our findings, we develop a scheme of user acceptance and performance.

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