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dc.date.accessioned2020-03-18T12:25:02Z
dc.date.available2020-03-18T12:25:02Z
dc.date.issued2020
dc.identifier.urihttp://hdl.handle.net/10852/74061
dc.description.abstractWith more and more people getting older and needing extra medical attention, robots may be a way of helping them live independently at home longer. Robots in the home, however, can gather lots of personal information about people living in the home and a robot may be confusing to understand. It is therefore important that these robots respect the residents' privacy and can be seen as friendly and welcome in the home. Future designers of robots can address privacy concerns by examining what data the robot collects, what dilemmas can come from the data collection, and design to address the dilemmas. In addition, these designers can use techniques from animation, such as the twelve principles of animation, to add expressiveness to a robot and make it easier to understand. The dissertation presents a technique for moving a robot with the animation principle of slow in and slow out and investigate how people experience a robot moving in the home using this technique.en_US
dc.language.isoenen_US
dc.relation.haspartPaper 1: Schulz, T., Herstad, J., & Holone, H. (2018, July 15). Privacy at Home: An Inquiry into Sensors and Robots for the Stay at Home Elderly. In Human Aspects of IT for the Aged Population. Applications in Health, Assistance, and Entertainment (pp. 377–394). International Conference on Human Aspects of IT for the Aged Population. doi:10.1007/978-3-319-92037-5_28. The article is not available in DUO due to publisher restrictions. The accepted version is available in DUO: http://urn.nb.no/URN:NBN:no-68139
dc.relation.haspartPaper 2: Schulz, T., Torresen, J., & Herstad, J. (2019). Animation Techniques in Human-Robot Interaction User Studies: A Systematic Literature Review. ACM Trans. Hum.-Robot Interact., 8(2). doi:10.1145/3317325. The article is included in the thesis. Also available at https://doi.org/10.1145/3317325
dc.relation.haspartPaper 3: Schulz, T., Herstad, J., & Torresen, J. (2018a). Classifying Human and Robot Movement at Home and Implementing Robot Movement Using the Slow In, Slow Out Animation Principle. International Journal on Advances in Intelligent Systems, 11, 234–244. http://www.iariajournals.org/intelligent_ systems/tocv11n34.html. The article is included in the thesis. Also available in DUO: http://urn.nb.no/URN:NBN:no-74330
dc.relation.haspartPaper 4: Schulz, T., Holthaus, P., Amirabdollahian, F., Koay, K. L., Torresen, J., & Herstad, J. (2019, October). Differences of Human Perceptions of a Robot Moving using Linear or Slow in, Slow out Velocity Profiles When Performing a Cleaning Task. In 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). doi:10.1109/RO-MAN46459.2019.8956355. The article is not available in DUO due to publisher restrictions. The published version is available at: https://doi.org/10.1109/RO-MAN46459.2019.8956355
dc.relation.urihttps://doi.org/10.1145/3317325
dc.relation.urihttp://urn.nb.no/URN:NBN:no-74330
dc.relation.urihttps://doi.org/10.1109/RO-MAN46459.2019.8956355
dc.titleExploration of Moving Things in the Homeen_US
dc.typeDoctoral thesisen_US
dc.creator.authorSchulz, Trenton
dc.identifier.urnURN:NBN:no-77171
dc.type.documentDoktoravhandlingen_US
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/74061/1/PhD-Schulz-2020.pdf


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