1 Correction to: Bus Inf Syst Eng https://doi.org/10.1007/s12599-022-00743-1
In the published version of Table 1 the values for the category “Embodiment” have erroneously been interchanged. They are shown as “Yes (93%)” and “No (7%)”, whereas they should be reversed. Please find here the correct table.
Table 1
Typology of intelligent assistants
Meta-characteristic | Dimension | Characteristic | Frequency (%) |
|---|---|---|---|
Assistant characteristics | Activity | Providing information | 73 |
Executing tasks | 27 | ||
Initiative | Autonomous | 43 | |
Delegated | 37 | ||
Mixed | 20 | ||
Flexibility | Adaptive | 35 | |
Adaptable | 10 | ||
Static | 55 | ||
Input combination(s) | Peripheral | 67 | |
Language and peripheral | 14 | ||
Language only | 6 | ||
Sensor input | 4 | ||
Peripheral and sensor input | 5 | ||
Language & peripheral & Sensor input | 4 | ||
Feedback combination(s) | Visual | 79 | |
Language only | 2 | ||
Visual and language | 15 | ||
Visual and haptic | 3 | ||
Haptic | 1 | ||
Modality | Unimodal | 75 | |
Multimodal | 25 | ||
Embodiment | No | 93 | |
Yes | 7 | ||
Ubiquity | Platform-specific | 64 | |
Mobile | 10 | ||
Web-based | 23 | ||
Multiple devices | 2 | ||
Learning capability | In-the-loop learning | 43 | |
Learned models | 57 | ||
Outcome(s) | Outcomes | Improve productivity | 53 |
Learning/skill acquisition | 13 | ||
Augment experience | 10 | ||
Improve work quality | 24 | ||
Outcome type | Augment | 81 | |
Compensate | 6 | ||
Both | 13 | ||
Environment characteristics | Assistance target | Application-interface | 64 |
Objects | 22 | ||
Application-interface & Object | 14 | ||
Domain | Professional | 43 | |
Private | 43 | ||
Education | 14 |
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