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. 2023 Oct 6;7:e47267. doi: 10.2196/47267

Table 5.

Coding and themes from the evaluation questionnaire (n=57) based on pilot testing of the Dolores chatbot app in a chronic pain population.


Frequency countsa, n (%)
Theme A: frustrations 19 (33)

Code A: Dolores’ speech 18 (32)


Code A1: unpleasant voice 9 (16)


Code A2: speech rate too slow 7 (12)


Code A3: incorrect pronunciation of words 2 (4)

Code B: unfamiliar 2 (4)

Code C: childlike 1 (2)

Code D: having to type on a touch screen 1 (2)

Code E: too assertive 1 (2)
Theme B: refinements 24 (42)

Code F: adjustable voice or speech settings 8 (14)

Code G: more specific or in-depth information 3 (5)

Code H: more questions in quiz 2 (4)

Code I: home access or being able to use for longer 2 (4)

Code J: able to turn off speech option for Dolores 2 (4)

Code K: add a skip button 1 (2)

Code L: color codes for pain severity on body map 1 (2)

Code M: avatar for Dolores 1 (2)

Code N: more questions in pain history 1 (2)

Code O: more links to existing resources 1 (2)

Code P: edit button for typed entries 1 (2)

Code Q: improved speech to text 1 (2)

Code R: Bluetooth keyboard 1 (2)

Code S: easier to erase when drawing 1 (2)

Code T: monthly tracking of progress 1 (2)

Code U: additional games related to topics 1 (2)
Theme C: benefits 48 (84)

Code V: easy to use 19 (33)

Code W: information useful 12 (21)


Code W1: informative 10 (18)


Code W2: helpful information 1 (2)


Code W3: information had not been provided by health professionals 1 (2)

Code X: options for user to interact, including drawing 7 (12)


Code X1: interactive 2 (4)


Code X2: multiple ways to respond 3 (5)


Code X3: being able to draw responses 2 (4)


Code X4: being able to speak to app 1 (2)

Code Y: quick or efficient 4 (7)

Code Z: easy to open up about issues or talk to 4 (7)

Code AA: good layout or design 4 (7)

Code AB: good tool or generalized app 3 (5)

Code AC: mobile or easy to access 1 (2)

Code AD: asked questions that may not think of 1 (2)

Code AE: real-time response or feedback 1 (2)

Code AF: interesting quiz 1 (2)

Code AG: lets user make mistakes 1 (2)

Code AH: speech to text accuracy 1 (2)

aNumber of participants whose comments were coded with a particular code or theme.