Browsing by Author "Takadama, Keiki"
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- PublicationAre robot tax, basic income or basic property solutions to the social problems of automation?(2019) Bendel, Oliver; Kido, Takashi; Takadama, Keiki [in: Proceedings of the Symposium Interpretable AI for Well-being: Understanding Cognitive Bias and Social Embeddedness]Automation is advancing relentlessly. Already decades ago, digitization was its partner. In the industry, innovative robots, for example co-robots, are used. Service robots begin to spread in various areas. Systems of artificial intelligence perform tasks of all sorts, even creative activities. The studies on the development of the labor market reach different results. In any case, it can be said that certain jobs will disappear and many people will have to do without their familiar work. It can also be assumed that in many areas less human work has to be performed on behalf (e.g., for customers and employers). As possible solutions to economic and social problems, an unconditional basic income and a robot tax are suggested. This paper presents, discusses and criticizes these approaches in the context of automation and digitization. Moreover, it develops a relatively unknown proposal, unconditional basic property, and presents its potentials as well as its risks.04B - Beitrag Konferenzschrift
- PublicationHow can bar robots enhance the well-being of guests?(AAAI, 2023) Bendel, Oliver; Peier, Lea; Kido, Takashi; Takadama, Keiki [in: Post-event Proceedings of the AAAI Spring Symposium: Socially Responsible AI for Well-being (AAAI-SRAI 2023)]This paper addresses the question of how bar robots can contribute to the well-being of guests. It first develops the basics of service robots and social robots. It gives a brief overview of which gastronomy robots are on the market. It then presents examples of bar robots and describes two models used in Switzerland. A research project at the School of Business FHNW collected empirical data on them, which is used for this article. The authors then discuss how the robots could be improved to increase the well-being of customers and guests and better address their individual wishes and requirements. Artificial intelligence can play an important role in this. Finally, ethical and social problems in the use of bar robots are discussed and possible solutions are suggested to counter these.04B - Beitrag Konferenzschrift
- PublicationIncreasing well-being through robotic hugs(2023) Bendel, Oliver; Puljic, Andrea; Heiz, Robin; Tömen, Furkan; De Paola, Ivan; Kido, Takashi; Takadama, Keiki [in: Post-event Proceedings of the AAAI Spring Symposium: Socially Responsible AI for Well-being (AAAI-SRAI 2023)]This paper addresses the question of how to increase the acceptability of a robot hug and whether such a hug contributes to well-being. It combines the lead author’s own research with pioneering research by Alexis E. Block and Katherine J. Kuchenbecker. First, the basics of this area are laid out with particular attention to the work of the two scientists. The authors then present HUGGIE Project I, which largely consisted of an online survey with nearly 300 participants, followed by HUGGIE Project II, which involved building a hugging robot and testing it on 136 people. At the end, the results are linked to current research by Block and Kuchenbecker, who have equipped their hugging robot with artificial intelligence to better respond to the needs of subjects.04B - Beitrag Konferenzschrift
- PublicationReports of the AAAI 2019 Spring Symposium Series(American Association for Artificial Intelligence, 2019) Baldini, Ioana; Barrett, Clark; Chella, Antonio; Cinelli, Carlos; Gamez, David; Gilpin, Leilani H.; Hinkelmann, Knut; Holmes, Dylan; Kido, Takashi; Kocaoglu, Murat; Lawless, William F.; Lomuscio, Alessio; Macbeth, Jamie C.; Martin, Andreas; Mittu, Ranjeev; Patterson, Evan; Sofge, Donald; Tadepalli, Prasad; Takadama, Keiki; Wilson, Shomir [in: AI Magazine]The AAAI 2019 Spring Series was held Monday through Wednesday, March 25–27, 2019 on the campus of Stanford University, adjacent to Palo Alto, California. The titles of the nine symposia were Artificial Intelligence, Autonomous Machines, and Human Awareness: User Interventions, Intuition and Mutually Constructed Context; Beyond Curve Fitting — Causation, Counterfactuals and Imagination-Based AI; Combining Machine Learning with Knowledge Engineering; Interpretable AI for Well-Being: Understanding Cognitive Bias and Social Embeddedness; Privacy- Enhancing Artificial Intelligence and Language Technologies; Story-Enabled Intelligence; Towards Artificial Intelligence for Collaborative Open Science; Towards Conscious AI Systems; and Verification of Neural Networks.01A - Beitrag in wissenschaftlicher Zeitschrift