Privacy and Speech-Disclosure: An Extension of the Privacy Calculus
|Professorship/Faculty:||Information Systems and Services||Authors:||Wirth, Jakob ; Maier, Christian||Title of the compilation:||Proceedings of the 27th European Conference on Information Systems (ECIS), Stockholm & Uppsala, Sweden, June 8-14, 2019||Corporate Body:||European Conference on Information Systems (ECIS), 27th, 2019, Stockholm-Uppsala, Sweden||Publisher Information:||AISeL||Year of publication:||2019||Pages / Size:||1-10||ISBN:||978-1-7336325-0-8||Language(s):||English||URL:||https://aisel.aisnet.org/ecis2019_rip||Document Type:||Conferenceobject||Abstract:||
Besides disclosing information via keyboard, disclosing information via speech is on the rise, for example, when speaking with digital assistants such as Amazon Echo. However, when disclosing information via speech, additional information is disclosed such as volume, pitch, tone or accent. With this additional information, further information of the individual can be derived such as age, gender or race. Also, other individuals around can overhear the spoken information. Both may lead to additional privacy risks. However, previous research has mainly considered the privacy risks through disclosure via keyboard, neglecting the mentioned additional privacy risks through disclosure via speech. Therefore, to better understand disclosure via speech, we rely on the basic privacy calculus, yet extend it with further privacy risks through additional information and through other individuals around. We propose a quantitative survey, to shed light on the effect of the additional privacy risks on speech-disclosure and aim to contribute to theory by recommending scholars to include the additional privacy risks when researching on speech-disclosure.
|Keywords:||Voice, Speech-disclosure, Chatbots, Digital assistant||Peer Reviewed:||Ja||International Distribution:||Ja||URI:||https://fis.uni-bamberg.de/handle/uniba/46674||Release Date:||31. August 2019|