Interaction with Smart Assistant
2020 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE credits
Student thesis
Abstract [en]
Newer technologies are being developed all the time in order to help us in our daily tasks. Smart Assistant (SA) is one such broad category of devices which, when instructed through speech or command, perform certain tasks.
Most SAs have two primary tasks: identify the user, and perform the task
communicated by the user. The task of identification can be achieved in several
ways and one such method involves face recognition interface integrated within SA. Further interaction with the user is achieved via either a touch screen or a speech-based interface integrated within SA. Since the primary objective of a SA involves interaction with an individual user, it is necessary to identify users' concerns related to the usability of SA.
In this thesis, the goal is to perform a usability study of Smart Assistant(SA) in the context of providing assistance in scheduling meetings at the workplace. Adopting a qualitative approach and we performed the usability study by designing a questionnaire to document public perception of new technologies like a smart assistant. We performed an online survey and collected responses from a section of the population. We also performed a similar survey with employees at Cybercom who have experience in interacting with the SA
being developed in their company, and which is meant for providing assistance in scheduling meetings.
In the process, we also provide relevant background literature
on human-computer interaction to contextualize the results of our survey. The
main outcome of this work is a list of guidelines to be followed for developing a
socially interactive speech-based SA.
The results of our survey indicate that there are several privacy and security related concerns that users have when using a face recognition interface and speech-based interaction. Although some of the concerns require technological advancements, a few of the concerns can be addressed by adopting certain suggested strategies.
Place, publisher, year, edition, pages
Malmö universitet/Teknik och samhälle , 2020. , p. 80
Keywords [en]
Smart Assistant, User Experience, Face Recognition, Speech Based Interaction, Human Interaction, Challenges, Internet of Things
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mau:diva-20337Local ID: 31112OAI: oai:DiVA.org:mau-20337DiVA, id: diva2:1480210
Educational program
TS Computer Science, Master Programme
Supervisors
Examiners
2020-10-272020-10-27Bibliographically approved