Privacy and ethical issues in affective computing

Tambić, Rea

prikaz prve stranice dokumenta Privacy and ethical issues in affective computing

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undergraduate thesis

Privacy and ethical issues in affective computing

Zagreb: University of Zagreb, Faculty of Economics and Business, 2022. urn:nbn:hr:148:685809

Tambić, Rea

University of Zagreb
Faculty of Economics and Business

Cite this document

APA 6th Edition

Tambić, R. (2022). Privacy and ethical issues in affective computing (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Economics and Business. Retrieved from https://urn.nsk.hr/urn:nbn:hr:148:685809

MLA 8th Edition

Tambić, Rea. "Privacy and ethical issues in affective computing." Undergraduate thesis, University of Zagreb, Faculty of Economics and Business, 2022. https://urn.nsk.hr/urn:nbn:hr:148:685809

Chicago 17th Edition

Tambić, Rea. "Privacy and ethical issues in affective computing." Undergraduate thesis, University of Zagreb, Faculty of Economics and Business, 2022. https://urn.nsk.hr/urn:nbn:hr:148:685809

Harvard

Tambić, R. (2022). 'Privacy and ethical issues in affective computing', Undergraduate thesis, University of Zagreb, Faculty of Economics and Business, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:148:685809

Vancouver

Tambić R. Privacy and ethical issues in affective computing [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Economics and Business; 2022 [cited 2024 December 26] Available at: https://urn.nsk.hr/urn:nbn:hr:148:685809

IEEE

R. Tambić, "Privacy and ethical issues in affective computing", Undergraduate thesis, University of Zagreb, Faculty of Economics and Business, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:148:685809

Cite this item: https://urn.nsk.hr/urn:nbn:hr:148:685809

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Metadata

Title	Privacy and ethical issues in affective computing
Author	Rea Tambić
Mentor	Mirjana Pejić Bach (mentor)
Granter	University of Zagreb Faculty of Economics and Business Zagreb
Defense date and country	2022-09-20, Croatia
Scientific / art field, discipline and subdiscipline	SOCIAL SCIENCES Economics Business Informatics
Abstract	Due to the internet's rapid expansion and the growing flow of information over the past ten years, systems that attempt to separate valuable from unhelpful information for users have been developed. If this development has benefitted society, then information-filtering systems have made it easier to access personal data, enabling computers and cellphones to recognize their users by giving them the ability to adjust their material to people' requirements. To facilitate more effective and natural communication between people and computers, the discipline of affective computing tries to harness human emotions as a way to convey preferences to machines. This study evaluates affective computing systems that can recognize bodily movements, voice, facial emotions, and physiological data in order to assess which approach has the best chance of enhancing human-computer interaction. The boundaries of affective computing systems are set by technical concerns, particularly privacy concerns, as emotional machines would be able to gather far more data about their users than current-generation computers.
Keywords
Language	english
URN:NBN	urn:nbn:hr:148:685809
Study programme	Title: Business Economics in English Study programme type: university Study level: undergraduate Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica(baccalaureus/ baccalaurea) ekonomije (sveučilišni/a prvostupnik/ prvostupnica(baccalaureus/ baccalaurea) ekonomije)
Type of resource	Text
File origin	Born digital
Access conditions	Access restricted to authenticated users
Terms of use
Repository	REPEFZG
Created on	2022-09-26 10:56:58