Presentation at Machine Intelligence 20 - Human-Like Computing Workshop. http://alandix.com/academic/papers/mi20-human-like-2016/ There are clear connections between the long-term study of human–computer interaction (HCI) and the emerging area of human-like computing (HLC). A recent report on HLC to the HCI community identified four main topics: (i) improving interaction with people through human–like computation; (ii) developing new interaction paradigms for interacting with HLC agents; (iii) emulating human capabilities as a good model for general AI and robotics; (iv) learning more about human cognition and embodiment through HLC. This pa-per explores these topics focusing on the potential input of HCI knowledge and methods and using past and current HCI research as examples.

1. Seeking the human in
human-like computing
Alan Dix
Talis and University of Birmingham
http://alandix.com/academic/papers/mi20-human-like-2016 /
Human-Like Computing Machine Intelligence (MI20-HLC)

2. clear intersections
Human-Like Computing
tentative EPSRC definition:
“offering the prospect of
computation which is akin to
that of humans, where
learning and making sense of
information about the world
around us can match our
human performance”
Human–Computer Interaction
studies the ways in which
people engage with
technology and the ways in
which technology can be
designed to work for and
alongside people

3. four topics
(iv) learning about
human cognition
(also social, ethical
consequences, etc.)
(iii) because it is a good
model to emulate
(new human-inspired algorithms)
(ii) new interaction
paradigms
(traditional focus has
human in control)
(i) for interacting
with people
(so need to understand
people!)
main goals for HLC (and HCI)
AI/ML – secondary benefits – HCI/CogSci

4. existing/past examples
(iv) learning about
human cognition
(iii) because it is a good
model to emulate
(ii) new interaction
paradigms
(i) for interacting
with people
1992 (!) black-box algorithms and
gender/ethnic discrimination

5. existing/past examples
(iv) learning about
human cognition
(iii) because it is a good
model to emulate
(ii) new interaction
paradigms
(i) for interacting
with people
cognitive and computational modelling
of regret and self

6. future challenges
(ii) new interaction
paradigms
(i) for interacting
with people
apply HCI knowledge,
theories and methods
for rich human
behaviour
build on existing
formal & informal
understanding of
human interaction with
active computational
partners