David Golchinfar's research while affiliated with Hochschule Bonn-Rhein-Sieg and other places

Publications (7)

Preprint
Full-text available
Efficiently post-training large language models remains a challenging task due to the vast computational resources required. We present Spectrum, a method that accelerates LLM training by selectively targeting layer modules based on their signal-to-noise ratio (SNR), and freezing the remaining modules. Our approach, which utilizes an algorithm to c...
Article
The application and use cases for conversational agents (CAs) are versatile. Smart speakers such as Alexa and Google Home are used in smart home environments, digital agents are integrated into car systems and chatbots are increasingly used in customer service processes. However, human–computer interaction researchers identify and investigate a wid...
Conference Paper
Natural and reliable application of service robots (SR) in service domains, for instance health service or elderly care, is currently not possible and full autonomy and automatization of SR is still in far distance. Hence, methodologies are needed that promote human-robot collaboration and allow the robot to learn from its human mentor to become mo...

Citations

... Scholars must comprehensively integrate the impact of robots into their work theories to advance academic understanding in this domain [10], [4]. Practically, designers and managers should be cognizant of work design changes that may adversely affect job responsibilities to avoid problematic changes [4], [3], [11]. ...
... Service robots are designed to assist workers in accomplishing their work tasks [2], [3], [4] and are expected to share the same workspace with employees while performing joint work tasks [5]. Service robots can provide advantages to organizations like increased productivity, dependability, scalability, and improved customer retention while also providing cost savings [6], [7]. According to a recent report, the global market of service robots was estimated at USD 41.5 billion in 2023 and is expected to increase to USD 84.8 billion by 2028 [8]. ...
... With respect to retail, recent studies investigated human-robot interaction and how customers' attitudes and shopping practices may be addressed by robots (Vaziri et al., 2020;Golchinfar et al., 2022;Niemelä et al., 2019;Heikkilä et al., 2019). Following the current research, it seems that service robots have the potential to support specific retail processes and customer interactions and further improve the experiences of customers. ...
... Two papers developed coding systems which translated free-text physician notes into standards-based executable cohort definition queries [60] or diagnostic codes [55]. Two papers designed service robots for patients which provide interactive services, such question answering, chatting [42] and medication adherence [53]. Two papers developed solutions to assist nurses with various operations i.e., [34] [50]. ...