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Conversational Interface for Screening

Authors: Håvik, Robin;

Conversational Interface for Screening

Abstract

There are many adults who lives with ADHD without getting a diagnosis. When being evaluated for ADHD the first step is often to complete what is called the Adult ADHD Self-Report Scale (ASRS). ASRS is a symptom-check questionnaire built by the World Health Organization for screening adults for symptoms of ADHD. In the study presented in this thesis, a prototype for a chatbot has been designed in order to explore how the ASRS test could be designed to a conversational interface. Having the ASRS in a conversational interface, users can answer questions from the ASRS with a more open language and supply answers with information that may be of interest for domain experts. The prototype was evaluated amongst users by conducting a comparative experiment with two objectives. To find out how the results from the conversational interface differed from the results from the paper-based modality, and to find out how the participants perceived the prototype. The results from the experiment revealed an indication that the result differences were of non-significant and that most participants preferred the conversational interface to the paper-based modality. The results support that chatbots can be a useful technological utility for screening in the domain of mental health.

Country
Norway
Related Organizations
Keywords

hci, conversational interface, screening, adhd, 735115, Chatbot, 004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green