Guy Laban - PhD candidate


About Me

I am pursuing my PhD under the supervision of Prof. Emily S. Cross (University of Glasgow), Prof. Val Morrison (University of Bangor), and co-supervision of Prof. Giuseppe Riva (Università Cattolica del Sacro Cuore) at the Social Robots and Social Brain in Action labs at the institute of Neuroscience and Psychology of the University of Glasgow. I am an ESR member of ENTWINE, the European Training Network on Informal Care, a Marie Skłodowska-Curie Innovation Training Network (ITN) funded by the European Union. My research examines how caregivers disclose their emotions and needs to social robots, and how these, in turn, can reduce caregivers’ stress and burden. This project is aimed at developing personalized solutions, interventions, and recommendations to support and promote caregivers’ well-being using social robots.

I am originally from sunny Tel Aviv, Israel, where I completed my bachelor studies in Communication Science at the Interdisciplinary Centre Herzliya (IDC), specializing in interactive communications. I was always interested in fictional characters, including comics and anime figures, and video games avatars. Following the idea that fictional characters can engage with humans through entertainment, media and stories I decided to study robots and artificial agents’ social relationships with humans in everyday settings. During my studies I was a member of IDC’s media innovation lab (miLAB), developing robotic prototypes and mobile applications to study their influence on human behaviours.

Eager to continue exploring, I conducted my Research Master’s studies at the University of Amsterdam. Under the supervision of Dr Theo Araujo my research was mainly focused on topics such as human-agent cooperation, personalized interactions, and the role of discourse in agents’ embodied cognition. During my time at the University of Amsterdam I also worked as a junior lecturer. I was teaching courses and workshops in research methods, statistics, data analysis and computational methods for both undergraduate (BSc) and graduate (MSc) students.

On my free time I enjoy spending time in the mountains hiking, snowboarding, and photographing.

Contact Info

Guy.Laban@Glasgow.ac.uk

@Guylaban

linkedin.com/in/guylaban

Location

62 Hillhead St,

Glasgow G12 8QB

Publications

Laban, G. & Araujo, TB. (In prep). Don’t take it personally: resistance to personalization procedures with anthropomorphic recommender systems.

Laban, G. & Araujo, TB. (In prep). Working as a team: The influence of cooperation with a chatbot on customer service perceptions.


Workshops, Seminars, Tutorials, and Courses

TrustRobots Summer School (2019, September), TU Wien, Vienna, Austria.

Structural topic models for enriching quantitative text analysis (2019, July), University of Amsterdam, Amsterdam, the Netherlands.

Introduction to Network Science (2019, July), University of Amsterdam, Amsterdam, the Netherlands.

International Conference on Computational Social Science (IC2S2) School for Phd students and early-stage researchers (2019, July), University of Amsterdam, Amsterdam, the Netherlands.

MiRO Developer Workshop (2019, June), University of Sheffield, Sheffield, United Kingdom.

Quantitative Text Analysis Dublin (QTA-DUB) Workshop (2019, June), University College Dublin, Dublin, Ireland.

Workshop on Digital Methods: Researching Digital Media Environments (2018, October), Università della Svizzera Italiana, Lugano, Switzerland.

Economics, Growth, and Prosperity (2016, April), Friedberg Economics Institute, Jerusalem, Israel.


Conferences

Laban, G. (2019, July). What Makes it Human? Users’ perceptions of agents’ animacy and intelligence. Poster will be presented at the International Conference on Computational Social Science (IC2S2) 2019, Amsterdam, Netherlands.

Laban, G. (2019, June). Textual Input Value of Customer Reviews: Text-Analysis Approach. Paper presented at Quantitative Text Analysis Dublin (QTA-DUB) Workshop, Dublin, Ireland.

Laban, G. & Araujo, TB. (2019, February). Don’t take it personally: resistance to personalization procedures with anthropomorphic recommender systems. Poster presented at Etmaal van de Communicatiewetenschap 2019, Nijmegen, Netherlands.

Laban, G., Zeidler, C., & Brussee, E. (2018, November). Binge-watching (Netflix) product placements:A content analysis of product placements in Netflix originals vs. non-Netflix originals, and drama vs.comedy shows. Paper presented at the 7th European Communication Conference (ECC), Lugano, Switzerland.

Laban, G. (2018, October). The role of customer reviews in online marketplace satisfaction. Paper presented at Workshop on Digital Methods: Researching Digital Media Environments, Lugano, Switzerland.

Laban, G. & Araujo, TB. (2018, May). Working as a team: The influence of cooperation with a chatbot on customer service perceptions. Paper presented at the Communicating with Machines: Theory and Practice, Prague, Czech Republic.

Laban, G. & Araujo, TB. (2018, February). Working as a team: The influence of cooperation with a chatbot on customer service perceptions. Paper presented at Etmaal van de Communicatiewetenschap 2018, Ghent, Belgium.

Laban, G., Zeidler, C., & Brussee, E. (2018, February). Binge-watching (Netflix) product placements: A content analysis of product placements in Netflix originals vs. non-Netflix originals, and drama vs. comedy shows. Paper presented at Etmaal van de Communicatiewetenschap 2018, Ghent, Belgium.

Teaching

▪ Methods of Communication Research and Statistics, University of Amsterdam - I was teaching undergraduate (BSc) students theory and practice of quantitative methods of scientific research, statistics, and data analysis.

▪ Research Workshop: Survey, University of Amsterdam - I was teaching undergraduate (BSc) students theory, methods and techniques for operationalizing concepts and developing a survey.

▪ Digital Analytics, University of Amsterdam - Assisting graduate (MSc) students with acquiring analytical skills, primarily using Python, and applying analytical methods to digital data for academic and business-oriented research. The topics of the course include (supervised/unsupervised) machine learning, automated content analysis, data visualization, and etc.