Zobrazeno 1 - 10
of 131
pro vyhledávání: '"SEABORN, KATIE"'
Autor:
Seaborn, Katie
Publikováno v:
2024: In W. Barfield, Y.-H. Weng, & U. Pagallo (Eds.), The Cambridge Handbook of the Law, Policy, and Regulation for Human-Robot Interaction (pp. 362-390). Chapter 19
We humans are biased - and our robotic creations are biased, too. Bias is a natural phenomenon that drives our perceptions and behavior, including when it comes to socially expressive robots that have humanlike features. Recognizing that we embed bia
Externí odkaz:
http://arxiv.org/abs/2412.12542
Autor:
Kobuki, Sota, Seaborn, Katie, Tokunaga, Seiki, Fukumori, Kosuke, Hidaka, Shun, Tamura, Kazuhiro, Inoue, Koji, Kawahara, Tatsuya, Otake-Mastuura, Mihoko
Japan faces many challenges related to its aging society, including increasing rates of cognitive decline in the population and a shortage of caregivers. Efforts have begun to explore solutions using artificial intelligence (AI), especially socially
Externí odkaz:
http://arxiv.org/abs/2409.16899
Publikováno v:
(2024) ACM Transactions on Human-Robot Interaction.
People read human characteristics into the design of social robots, a visual process with socio-cultural implications. One factor may be nationality, a complex social characteristic that is linked to ethnicity, culture, and other factors of identity
Externí odkaz:
http://arxiv.org/abs/2408.16949
Recent research has begun to assess people's perceptions of voice user interfaces (VUIs) as dialogue partners, termed partner models. Current self-report measures are only available in English, limiting research to English-speaking users. To improve
Externí odkaz:
http://arxiv.org/abs/2405.09002
Autor:
Seaborn, Katie, Itagaki, Tatsuya, Watanabe, Mizuki, Wang, Yijia, Geng, Ping, Fujii, Takao, Mandai, Yuto, Kojima, Miu, Yoshida, Suzuka
Publikováno v:
CHI EA '24: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (2024), Article No.: 95, 1-8
Dark patterns and deceptive designs (DPs) are user interface elements that trick people into taking actions that benefit the purveyor. Such designs are widely deployed, with special varieties found in certain nations like Japan that can be traced to
Externí odkaz:
http://arxiv.org/abs/2405.08831
Publikováno v:
CHI EA '24: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (2024), Article No.: 321, 1-7
The issue of dark patterns and deceptive designs (DPs) in everyday interfaces and interactions continues to grow. DPs are manipulative and malicious elements within user interfaces that deceive users into making unintended choices. In parallel, resea
Externí odkaz:
http://arxiv.org/abs/2405.08832
Autor:
Wang, Yijia, Seaborn, Katie
Publikováno v:
CHI EA '24: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (2024), Article No.: 210, 1-9
Kawaii computing is a new term for a steadily growing body of work on the Japanese notion of "cute" in human-computer interaction (HCI) research and practice. Kawaii is distinguished from general notions of cute by its experiential and culturally-sen
Externí odkaz:
http://arxiv.org/abs/2405.08244
Autor:
Li, Ge "Rikaku", Seaborn, Katie
Publikováno v:
CHI EA '24: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (2024), Article No.: 252, 1-7
Embodied conversation agents (ECAs) are increasingly being developed for older adults as assistants or companions. Older adults may not be familiar with ECAs, influencing uptake and acceptability. First impressions can correlate strongly with subsequ
Externí odkaz:
http://arxiv.org/abs/2405.08242
Publikováno v:
CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems (2024), Article No. 564, 1-15
Maldaimonic game experiences occur when people engage in personally fulfilling play through egocentric, destructive, and/or exploitative acts. Initial qualitative work verified this orientation and experiential construct for English-speaking Westerne
Externí odkaz:
http://arxiv.org/abs/2405.08240
Publikováno v:
CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems (2024), Article No. 511, 1-14
ChatGPT is a conversational agent built on a large language model. Trained on a significant portion of human output, ChatGPT can mimic people to a degree. As such, we need to consider what social identities ChatGPT simulates (or can be designed to si
Externí odkaz:
http://arxiv.org/abs/2405.08238