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Tag: interaction design

Can children learn to read without explicit instruction from adults?

Can children learn to read without explicit instruction from adults?

[et_pb_section bb_built=”1″ _builder_version=”3.11.1″ background_color=”rgba(0,42,255,0.39)” next_background_color=”#ffffff”][et_pb_row _builder_version=”3.0.48″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”4_4″][et_pb_text _builder_version=”3.11.1″] An experiment in a remote Ethiopian village demonstrates the potential of mobile devices to enable children to learn and teach each other how to read without traditional schooling. [/et_pb_text][et_pb_video src=”https://tnp_encoded_videos.s3.amazonaws.com/web_videos/121006_TNP_BREAZEAL_720_9100.mp4″ _builder_version=”3.11.1″] [/et_pb_video][et_pb_text _builder_version=”3.11.1″] See also: How Reading Rewires Your Brain for Empathy [/et_pb_text][/et_pb_column][/et_pb_row][/et_pb_section][et_pb_section bb_built=”1″ _builder_version=”3.11.1″ prev_background_color=”rgba(0,42,255,0.39)”][/et_pb_section]

A dive into the black waters under the surface of persuasive design

A dive into the black waters under the surface of persuasive design

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A Guardian article last October brings the darker aspects of the attention economy, particularly the techniques and tools of neural hijacking, into sharp focus. The piece summarizes some interaction design principles and trends that signal a fundamental shift in means, deployment, and startling effectiveness of mass persuasion. The mechanisms reliably and efficiently leverage neural reward (dopamine) circuits to seize, hold, and direct attention toward whatever end the designer and content providers choose. The organizer of a $1,700 per person event…

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Should AI agents’ voice interactions be more like our own? What effects should we anticipate?

Should AI agents’ voice interactions be more like our own? What effects should we anticipate?

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An article at Wired.com considers the pros and cons of making the voice interactions of AI assistants more humanlike. The assumption that more human-like speech from AIs is naturally better may prove as incorrect as the belief that the desktop metaphor was the best way to make humans more proficient in using computers. When designing the interfaces between humans and machines, should we minimize the demands placed on users to learn more about the system they’re interacting with? That seems…

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