Carlos Arce-Lopera

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Objective

To design experiences that enhance user engagement using ambient technologies.

Activities

Touristic accessibility enhancement, Retail gamification, Smart shelves and Multimodal retail experiences, Monitoring Sensor development

Intelligent Environments use real environments in which computation is seamlessly used to enhance ordinary activity. These intelligent environments need for the development of interfaces that are both embedded and multimodal allowing people to interact with them in natural ways. This project aims for the design of new systems that react to natural interaction with humans. Mainly, these systems employ innovative usage of sensing technology. Then, the signals are analyzed using pattern recognition algorithms to classify agent behaviors. Finally, the system reacts accordingly giving a multimodal feedback that may initiate conversational interaction with the agent. Possible applications are diverse in many industries such as for innovative retail experiences, accessible tourism, and monitoring systems for Smart cities.

Publications

  1. Diana Kassem and Arce-Lopera, C. A. (2020). Road-Condition Monitoring and Classification for Smart Cities. San Diego – USA. AHFE 2020.
  2. Arce-Lopera, C. A., Jiménez, J., Montoya, C., Giraldo, J. (2019). Universal Design for Enhancing Accessibility of the Visually Impaired in Touristic Environments. (pp 514-521) Washington - USA. AHFE 2019. Advances in Intelligent Systems and Computing Volume 955.
  3. Arce-Lopera, C. A., Avendaño, G., Rodríguez, B., Victoria, D. (2018). In store shelf display technology for enhancing customer brand recognition. (pp 416 - 420) Melbourne- Australia: OzCHI ‘18 30th Australian Conference on Human-Computer Interaction.
  4. Cardona, S., Arce-Lopera, C. A., Diaz Cely, J. G., Botello, O. (2018). Identification of Retail Products using Computer Vision. Cartagena- Colombia: UTC.13th Colombian Conference on Computing
  5. Manzano, A. M., Salamanca García, J. M., Arce-Lopera, C. A. (2015). Visualizing User’s Experience to Support Real Time Decision-Making in Urban Transportation Systems. Chicago: IEEE VIS.
  6. Arce-Lopera, C. A., Kobayashi, Y., Kan, A., Komori, O., Okajima, K., Fukuda, R., Wada, Y. (2010). Tactile Sense Presentation System for the Physically-disabled based on Image Information (pp. 31-34). Medical Information Processing System MIPS2009.