Creating a Chatbot for and with Migrants
| Autor: | Mika P. Nieminen, Yichen Lu, Andrés Lucero, Zhifa Chen |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
Process (engineering) media_common.quotation_subject 05 social sciences 020207 software engineering Empathy 02 engineering and technology Computer-assisted web interviewing computer.software_genre Chatbot Information overload World Wide Web Social integration 0202 electrical engineering electronic engineering information engineering Personality 0501 psychology and cognitive sciences computer 050107 human factors media_common Avatar |
| Zdroj: | Conference on Designing Interactive Systems |
| DOI: | 10.1145/3357236.3395495 |
| Popis: | Information portals are usually created to support the integration of migrants into a host country. However, the information-seeking process can be exhausting, cumbersome and even confusing for migrants as they must cope with time-consuming information overload while searching desired information from lists of documents. Chatbots are easy-to-use, natural, and intuitive, and thus could support information-seeking. There is a lack of research that engages and empowers migrants and other stakeholders as co-design participants in chatbot development. We explored how migrants can be empowered in designing a chatbot that supports their social integration. Using a co-design approach, we conducted a series of activities with migrants and other stakeholders (i.e., online questionnaires, empathy probes, surveys, and co-design workshops) to first understand their expectations regarding chatbots, and then co-design a personality-driven chatbot. We found that chatbot personality can drive co-designing a chatbot as design goals, design directions, and design criteria. |
| Databáze: | OpenAIRE |
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